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Unravel the complexities of financial markets with the 'Day Trading & Scalping Strategies' course. This program is a comprehensive guide for those aspiring to master the art of quick, profitable trading. The course begins with an introduction to the fundamental concepts of day trading and scalping, setting a solid foundation for more advanced strategies. Learners are introduced to a variety of tools and techniques, each designed to navigate the fast-paced world of short-term trading. The curriculum is crafted to ensure a deep understanding of market dynamics and the skills needed to make informed trading decisions. Advance through the course to explore specialized strategies using tools like MACD, Moving Averages, RSI, and EMA's, each section providing a detailed approach to utilizing these indicators effectively. The course also emphasizes the critical aspect of risk management, ensuring traders are well-equipped to handle market volatility. As you progress, you'll encounter strategies tailored for different markets, including cryptocurrencies, forex, and stocks, offering a broad perspective on day trading and scalping techniques. The final section provides bonus content, further enriching your trading toolkit. Whether you're a novice looking to enter the world of trading or an experienced trader seeking to refine your strategies, this course offers valuable insights and practical skills. Learning Outcomes Understand the principles and techniques of day trading and scalping. Develop skills in utilizing MACD, Moving Averages, RSI, and EMA's for trading strategies. Master the art of risk management in day trading. Learn specialized strategies for trading in crypto, forex, and stock markets. Enhance decision-making abilities in fast-paced trading environments. Why choose this Day Trading & Scalping Strategies course? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards and CIQ after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. Unlock career resources for CV improvement, interview readiness, and job success. Who is this Day Trading & Scalping Strategies course for? Individuals interested in learning day trading and scalping techniques. Traders seeking to diversify their strategy portfolio. Beginners aiming to enter the financial trading market. Investors looking to enhance their short-term trading skills. Finance professionals seeking advanced trading strategies. Career path Day Trader: £30,000 - £100,000+ Financial Analyst: £35,000 - £60,000 Risk Manager: £40,000 - £70,000 Trading Strategy Consultant: £45,000 - £80,000 Cryptocurrency Trader: £30,000 - £90,000+ Forex Trader: £30,000 - £100,000+ Prerequisites This Day Trading & Scalping Strategies does not require you to have any prior qualifications or experience. You can just enrol and start learning. This course was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Certification After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8. Course Curriculum Section 01: Introduction Introduction to the Course 00:04:00 Section 02: Risk Management Introduction to Risk Management 00:02:00 What a Risk Management? 00:03:00 Why Risk Management is So Important 00:18:00 Why You Have to Manage Your Risk 00:18:00 My Risk Management System 00:12:00 You Can't Progress in Something That You Don't Measure 00:09:00 Section 03: Professional Day trading/Scalping strategy with MACD Introduction 00:02:00 Trading on 2 different timeframe 00:10:00 How to add it to your screen 00:05:00 The rules that you have to follow 00:15:00 Let's practice it 00:30:00 Results from the practice 00:10:00 Class project 00:01:00 Section 04: Day trading / scalping PRO strategy with Moving averages Introduction 00:04:00 How to put it on your screen 00:05:00 The criteria needed 00:19:00 Entries, exits and stop losses practice 00:24:00 51% profits on the account in 6 weeks on 1 pair 00:15:00 Class project 00:01:00 Section 05: Day trading / scalping strategy with RSI and EMA's Introduction 00:03:00 The setup 00:09:00 The Criteria 00:14:00 Practice 00:30:00 22 % profit on account in 30 trades 00:14:00 68 % Win Rate 00:01:00 Section 06: Day trading strategies with Stochastic indicator and EMA's Introduction 00:03:00 Why you have to be using multiple timeframes 00:09:00 Introduction to using Stochastic indicator with an EDGE 00:08:00 First strategy - How to set it up on your chart 00:07:00 First strategy - Criteria 00:30:00 First strategy - Practice 00:20:00 Second strategy - Criteria 00:12:00 Second strategy - Practice 00:15:00 Class project 00:01:00 Section 07: 2 Scalping/ Day trading strategies for Crypto/Forex/Stocks Introduction 00:03:00 The first Scalping / Day trading strategy 00:14:00 Volatility is key 00:08:00 Practice of the First strategy 00:17:00 Second scalping / day trading strategy and how to set it up 00:04:00 Criteria for the second strategy 00:04:00 Backtesting the second strategy 00:23:00 Class project 00:01:00 Section 08: Bonus How to Know When to Take Profits 00:35:00 Hull Moving Average 00:06:00 7 Habits Belief of Successful Traders 00:17:00 Momentum Play with Multiple Timeframes 00:20:00 Assignment Assignment - Day Trading & Scalping Strategies in 2021 00:00:00

Embark on a transformative journey with our 'Post-Traumatic Stress Disorder (PTSD) Counselling' course, a beacon of hope and healing for those touched by trauma. This course opens a window into understanding PTSD, not just as a clinical term but as a deeply personal experience that impacts lives profoundly. Your journey begins with an introduction that lays the groundwork for comprehending the complexities of trauma and its aftermath. As you navigate through the curriculum, you will gain insights into the nuances of PTSD, equipping you with the knowledge to understand and empathise with those affected. Moving forward, the course delves into integrating therapeutic techniques such as Cognitive Behavioural Therapy (CBT), Dialectical Behaviour Therapy (DBT), and Acceptance and Commitment Therapy (ACT) into both personal and professional practices. This holistic approach empowers you to manage anxiety and PTSD symptoms effectively. The course guides you through overcoming avoidance behaviours and handling difficult trauma-related thoughts, providing strategies to cope with intrusive memories, flashbacks, and nightmares. As you reach the concluding sections, you'll learn not just to survive but to thrive post-trauma, looking ahead with newfound strength and resilience. This course is more than an educational experience; it's a journey towards empowerment and recovery. Learning Outcomes Understand the fundamental concepts of trauma and PTSD. Learn to integrate CBT, DBT, and ACT techniques for managing PTSD. Develop strategies to handle anxiety and avoidance behaviours. Gain skills in coping with trauma-related memories and thoughts. Acquire techniques to thrive post-trauma and look towards a positive future. Why choose this Post-Traumatic Stress Disorder (PTSD) Counselling course? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards and CIQ after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. Unlock career resources for CV improvement, interview readiness, and job success. Who is this Post-Traumatic Stress Disorder (PTSD) Counselling course for? Mental health professionals seeking specialised knowledge in PTSD. Individuals personally affected by trauma and PTSD. Caregivers and support workers of those with PTSD. Emergency service personnel dealing with traumatic events. Anyone interested in understanding and supporting PTSD recovery. Career path PTSD Counsellor - £25,000 to £40,000 Clinical Psychologist - £31,000 to £51,000 Mental Health Nurse - £24,000 to £35,000 Psychotherapist - £26,000 to £48,000 Support Worker - £18,000 to £28,000 Crisis Intervention Specialist - £22,000 to £37,000 Prerequisites This Post-Traumatic Stress Disorder (PTSD) Counselling does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Post-Traumatic Stress Disorder (PTSD) Counselling was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Certification After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8. Course Curriculum Introduction Introduction 00:04:00 The approach of the course 00:03:00 Understanding Trauma & PTSD Section Overview 00:01:00 What Is Trauma? 00:09:00 What Is PTSD? Diagnosis of PTSD 00:10:00 How Are Traumatic Memories Processed? 00:09:00 Physical and Health Issues Associated with Trauma 00:08:00 Thinking about Coping with PTSD & Trauma 00:06:00 Integrating CBT, DBT, ACT Techniques into Your Life Integrating CBT, DBT, ACT Overview 00:01:00 What is Cognitive Behavioral Therapy (CBT)? 00:03:00 ABC Model - Thought, Emotions & Behavior 00:04:00 Understanding Feedback Loops 00:04:00 Behavioral Coping 00:02:00 Exposure Therapy for PTSD & Trauma 00:07:00 Stress Inoculation Training (SIT) for PTSD & Trauma 00:03:00 Cognitive Processing Therapy (CPT) PTSD & Trauma 00:03:00 What is Dialectical Behavior Therapy (DBT)? 00:08:00 What is Acceptance and Commitment Therapy (ACT)? 00:03:00 ACT in Action! 6 Core Processes 00:12:00 Common Elements of CBT, DBT & ACT 00:05:00 Managing Your Anxiety & PTSD Building a Strong Foundation: Breathing 00:06:00 Abdominal Breathing for Anxiety 00:05:00 PMR Progressive Muscle Relaxation a CBT Technique for Anxiety & PTSD 00:07:00 Relaxation without Tension a CBT Technique for Anxiety & PTSD 00:02:00 Cue Controlled Relaxation a CBT Technique for Anxiety & PTSD 00:02:00 Using Your Mind to Relax and Develop Awareness 00:03:00 Decreasing the Power of Negative Thoughts 00:06:00 Section Conclusion 00:03:00 Stop Avoiding and Start Living Again Section Introduction 00:02:00 Self-help: Effects of PTSD on Goals and Values 00:15:00 Self-help: Creating a Change 00:10:00 Self-help: Facing Feared Situation 00:10:00 Self-help: Everyday Mindfulness Exercise 00:05:00 Self-help: Connecting with Others 00:10:00 Self-help: Emotion Diary Cards 00:05:00 Self-help: Identifying Emotions 00:05:00 Decreasing PTSD Symptoms through Writing 00:05:00 Handling Difficult Thoughts of Trauma 8 Limited Thinking Patterns from CBT 00:01:00 Filtering 00:02:00 Polarized Thinking 00:02:00 Overgeneralization 00:02:00 Mind Reading 00:02:00 Catastrophizing 00:01:00 Magnifying 00:02:00 Personalization 00:01:00 Shoulds 00:02:00 Composing Balanced Alternative Thoughts 00:08:00 Coping with Memories, Flashbacks, Nightmares, and Intrusions Focusing on Your Thoughts 00:07:00 Invalidating Thoughts 00:06:00 Mindfulness and Grounding 00:05:00 Imagery Rehearsal for Nightmares 00:02:00 Developing Wise Mind 00:04:00 Surviving and Thriving as You Look Ahead Do You Need Professional Help? 00:04:00 Conclusion Do You Need Therapist? 00:04:00 Conclusion 00:02:00 Resources Resource - Treating Post Traumatic Stress Disorder 00:00:00 Assignment Assignment - Post-Traumatic Stress Disorder (PTSD) Counselling 00:00:00

Unlock the world of programming excellence with our 'Diploma in Python Programming' course. In this dynamic learning journey, you'll delve into the fundamental concepts of Python and emerge as a proficient Python programmer. Whether you're a novice or have some prior coding experience, this course caters to all levels of learners. You'll start with the basics, gradually working your way up to complex Python operations, data structures, and even creating a fun Rock, Paper, and Scissors project. By the end of this course, you'll have a strong grip on Python, be able to write user functions, handle exceptions, explore databases, and much more. Take your first step towards becoming a skilled Python programmer and discover the endless possibilities this versatile language offers. Learning Outcomes Master the foundational concepts of Python programming. Develop essential skills in working with strings, dates, and files using Python. Create user functions, handle exceptions, and install packages. Explore database management using SQLite and interact with the operating system. Gain the knowledge and confidence to run Python programs in different environments, including Jupyter Notebook. Why choose this Python Programming Diploma? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards and CIQ after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. Unlock career resources for CV improvement, interview readiness, and job success. Who is this Python Programming Diploma for? Aspiring programmers looking to kickstart their coding journey. Professionals seeking to expand their skill set and explore Python. Students aiming to excel in programming and computer science. Anyone curious about the power and versatility of Python as a programming language. Career path Python Programmer: £25,000 - £70,000 Data Analyst: £30,000 - £60,000 Web Developer: £25,000 - £50,000 Software Engineer: £35,000 - £80,000 Machine Learning Engineer: £40,000 - £90,000 Data Scientist: £40,000 - £70,000 Prerequisites This Diploma in Python Programming does not require you to have any prior qualifications or experience. You can just enrol and start learning. This Diploma in Python Programming was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Certification After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8. Course Curriculum Unit 01: Introduction to Python Programming Module 01: Course Introduction 00:02:00 Unit 02: Getting Started with Python Module 01: Software Installation 00:02:00 Module 02: Hello World Program 00:06:00 Module 03: Input and Output 00:07:00 Module 04: Calculating Average of 5 Numbers 00:03:00 Unit 03: Conditional Branching with Python Module 01: If Loop In Python 00:06:00 Module 02: Program Using If Else part 1 00:03:00 Module 03: Program Using If Else part 2 00:08:00 Module 04: Program for Calculator 00:02:00 Module 05: Program Using For Loop 00:08:00 Module 06: For Table 00:05:00 Module 07: For loop and Mathematical Operator in Python 00:04:00 Module 08: Factorial of Number Using Python 00:06:00 Module 09: Program Using While 00:05:00 Module 10: While Loop Example 00:07:00 Module 11: Tasks for Practice 00:02:00 Unit 04: Importing external/internal library in python Module 01: Importing Library in Python 00:07:00 Unit 05: Project Rock Paper and Scissors Module 01: Rock Paper and Scissor Game 00:06:00 Unit 06: Strings Operation in Python Module 01: Program Using String part 1 00:05:00 Module 02: Program using String 2 00:06:00 Module 03: Program Using String 3 00:06:00 Module 04: Program Using String part 4 00:03:00 Unit 07: Date and time in Python Module 01: Use of Date and Time part 1 00:05:00 Module 02: Use of Date and Time part 2 00:05:00 Unit 08: File Handling, read and write using Python Module 01: File Handling Part 1 00:08:00 Module 02: File Handling Part 2 00:07:00 Unit 09: Data Storage Structures, Tuple, List and Dictionary Module 01: Tuple in Python Part 1 00:10:00 Module 02: Tuple in Python Part 2 00:07:00 Module 03: Using Lists part 1 00:07:00 Module 04: Using List part 2 00:12:00 Module 05: Using Lists part 3 00:06:00 Module 06: Using Lists part 4 00:08:00 Module 07: Using Lists part 5 00:02:00 Module 08: Use of Dictionary Part 1 00:04:00 Module 09: Use of Dictionary Part 2 00:05:00 Module 10: Use of Dictionary Part 3 00:08:00 Module 11: Use of Dictionary Part 4 00:07:00 Unit 10: Writing user functions in Python Module 01: Function in Python Part 1 00:06:00 Module 02: Function in Python Part 2 00:05:00 Module 03: Function in Python Part 3 00:04:00 Module 04: Function in Python Part 4 00:07:00 Module 05: Function in Python Part 5 00:08:00 Unit 11: Sending mail Module 01: Send Email 00:09:00 Unit 12: Import Tricks in Python Module 01: Import Study part 1 00:07:00 Module 02: Import Study part 2 00:03:00 Unit 13: Import Operating System and Platform Module 01: Importing OS 00:06:00 Module 02: Import Platform 00:05:00 Unit 14: Exceptions handling in python Module 01: Exception in Python part 1 00:11:00 Module 02: Exception in Python part 2 00:07:00 Module 03: Exception in Python part 3 00:05:00 Unit 15: Installing Packages and Scheduling In Python Module 01: Installing Packages using built in package manager 00:08:00 Module 02: Scheduler in Python 00:05:00 Unit 16: Data Base In Python using sqlite Module 01: Data Base 1 00:08:00 Module 02: Data Base 2 00:09:00 Module 03: Data Base 3 00:08:00 Module 04: Data base 4 00:07:00 Module 05: Data Base 5 00:06:00 Unit 17: Running Program from Command Prompt and jupyter Notebook Module 01: IDE_1 00:05:00 Module 02: IDE_2 00:07:00 Unit 18: Conclusion Module 01: Conclusion 00:02:00 Resources Resources - Diploma in Python Programming 00:00:00 Assignment Assignment - Diploma in Python Programming 00:00:00 Recommended Materials Workbook - Diploma in Python Programming 05:14:00

Overview Dive into the dynamic world of advertising copywriting and unveil the secrets that empower the messages behind impactful advertisements. Have you ever wondered, 'what is copywriting?' or been intrigued by the art of creating compelling advertisement text? Look no further. Our course, 'Advertising Copywriter', is crafted with utmost care to provide insights, techniques, and the nuanced art behind influential advertising. From the fundamental concepts of copywriting to masterful marketing tactics that make a copy sell, you'll journey through a comprehensive curriculum designed to boost your copywriting prowess. The course not only delves into the theoretical aspects but also guides you through the practicalities. With a specific focus on the structured process to streamline your writing, you'll discover nine essential steps that simplify the complex world of copywriting. Moreover, you'll be equipped with tried and tested formulas, tips, and hacks that will transform your words into persuasive advertisements.  Master the art of advertising copywriting and understand the difference between mere text and a captivating advertisement. It's not just about writing; it's about crafting messages that resonate, inspire, and compel. So, are you ready to metamorphose your skills and take the advertising world by storm? Learning Outcomes Understand the foundational concepts and principles underlying effective copywriting. Apply marketing strategies to produce persuasive and sale-driven advertising copy. Utilise a systematic 9-step approach to simplify and enhance the copywriting process. Develop engaging headlines using proven hacks, ensuring they captivate the reader's attention. Master various copywriting formulas and techniques to consistently produce high-quality advertisements. Why buy this Advertising Copywriter course? Unlimited access to the course for forever Digital Certificate, Transcript, student ID all included in the price Absolutely no hidden fees Directly receive CPD accredited qualifications after course completion Receive one to one assistance on every weekday from professionals Immediately receive the PDF certificate after passing Receive the original copies of your certificate and transcript on the next working day Easily learn the skills and knowledge from the comfort of your home Certification After studying the course materials of the Advertising Copywriter there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Who is this Advertising Copywriter course for? Beginners keen on understanding the intricacies of advertising copywriting. Marketing enthusiasts aiming to amplify their advertising strategies through compelling copy. Writers wishing to transition into the advertising realm and harness the power of persuasive text. Business owners seeking to improve their brand's message and influence their target audience. Content creators looking to elevate their writing and produce impactful advertisement content. Prerequisites This Advertising Copywriter does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Advertising Copywriter was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Career path Advertising Copywriter: Average Salary £25,000 - £45,000. Content Strategist: Average Salary £30,000 - £50,000. Brand Strategist: Average Salary £35,000 - £55,000. Marketing Manager: Average Salary £40,000 - £60,000. Headline Specialist: Average Salary £28,000 - £48,000. Creative Director: Average Salary £60,000 - £100,000. Course Curriculum Section 1: Introduction Unit 1: Welcome to the Copywriting Course 00:05:00 Unit 2: Course Overview 00:04:00 Section 2: Introduction to Copywriting Unit 1: What is Copywriting 00:05:00 Unit 2: Elements of Great Copy 00:11:00 Unit 3: Traditional vs Modern Copywriting 00:04:00 Unit 4: Career Options for Copywriters 00:12:00 Unit 5: Job Description and Responsibilities of a Copywriter 00:06:00 Unit 6: Copywriting vs Content Writing: The Difference 00:04:00 Section 3: Core Concepts of Copywriting Unit 1: What is a Short Form Copy 00:03:00 Unit 2: What is a Long Form Copy 00:02:00 Unit 3: Types of Tones Used for Writing Copy 00:06:00 Unit 4: Which Types of Tone You Should Use 00:07:00 Unit 5: Identifying the Target Audience 00:06:00 Unit 6: Qualities That Will Make You a Successful Copywriter 00:06:00 Section 4: Marketing Tactics to Write Copy That Sells Unit 1: The Secret to Understand Buyer's Mindset 00:04:00 Unit 2: Never Make Your Copy Look Like an Ad 00:06:00 Unit 3: 2 Second Hack to Become a Successful Copywriter 00:05:00 Unit 4: Features vs Benefits 00:04:00 Unit 5: The Shocking Truth about Buyers & Customers 00:04:00 Unit 6: So What Test 00:05:00 Unit 7: FOMO: How to Use This Most Powerful Marketing Tool 00:08:00 Unit 8: What's in It for Me 00:04:00 Unit 9: The Secret to Sell Instantly 00:05:00 Unit 10: Leveraging the Power of Emotions 00:04:00 Section 5: The Copywriting Process: 9 Steps to Make It Easier For You Unit 1: Steps in the Copywriting Process 00:08:00 Unit 2: Understand the Product 00:06:00 Unit 3: Performing Competitor Analysis 00:12:00 Unit 4: Create a Buyer Persona / Customer Avatar 00:06:00 Unit 5: Writing the copy 00:01:00 Unit 6: Editing the Copy 00:02:00 Unit 7: Adding Design Elements + Media 00:07:00 Unit 8: Publish the Copy + Promotion 00:02:00 Unit 9: Checking the Conversion from Copy - Measuring Results 00:03:00 Section 6: Copywriting Formulas Unit 1: AIDA: The 4 Step Formula 00:05:00 Unit 2: Storytelling: Best Tool for Converting Readers into Buyers 00:05:00 Unit 3: 3 STEP Formula: PAS 00:06:00 Section 7: Headlines Unit 1: Section Introduction 00:01:00 Unit 2: Intro to Headlines 00:07:00 Unit 3: Importance of Headlines 00:03:00 Unit 4: Formula to Write Amazing Headlines (Everytime) 00:09:00 Unit 5: How to Use This Formula (With Examples) 00:02:00 Unit 6: Free Tool to Create Attractive Headlines 00:03:00 Unit 7: Practice Exercise 00:01:00 Section 8: 6 Hacks to Write Headlines That Readers Cannot Resist Unit 1: Section Intro 00:02:00 Unit 2: Headline Hack # 1 00:01:00 Unit 3: Headline Hack # 2 00:02:00 Unit 4: Headline Hack # 3 00:02:00 Unit 5: Headline Hack # 4 00:04:00 Unit 6: Headline Hack # 5 00:02:00 Unit 7: Headline Hack # 6 00:03:00 Unit 8: Quick Recap 00:01:00 Section 9: Creating the Copy Unit 1: Creating Call to Actions (CTA) That Reader's Cannot Resist 00:04:00 Unit 2: Focus on the Customer 00:06:00 Unit 3: How to Write a Conversational Copy 00:03:00 Section 10: Hacks & Tips Unit 1: Collect Winning Pieces 00:04:00 Unit 2: 3 Extremely Powerful Words That You Must Use in a Copy 00:02:00 Unit 3: Using Customer's Words 00:05:00 Section 11: Practice Exercises Unit 1: Recreate Ads 00:01:00 Unit 2: Record Your Copy 00:02:00 Section 12: Conclusion Unit 1: Conclusion 00:01:00 Resources Resources - Advertising Copywriter 00:00:00 Assignment Assignment - Advertising Copywriter 00:00:00

Learn how to create an automated trading bot using Python with this comprehensive course. Master Python basics, understand trading fundamentals, build and integrate the bot with a broker API, and run it effectively. Learning Outcomes: Gain proficiency in Python programming for trading purposes. Understand the fundamental concepts of trading and market dynamics. Build a structured trading bot using Python and Github version control. Integrate the bot with a broker API for real-time trading functionality. Successfully run and manage the automated trading bot for efficient execution. Why buy this Making Automated Trading Bot Using Python? Unlimited access to the course for forever Digital Certificate, Transcript, student ID all included in the price Absolutely no hidden fees Directly receive CPD accredited qualifications after course completion Receive one to one assistance on every weekday from professionals Immediately receive the PDF certificate after passing Receive the original copies of your certificate and transcript on the next working day Easily learn the skills and knowledge from the comfort of your home Certification After studying the course materials of the Making Automated Trading Bot Using Python there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Who is this course for? This Making Automated Trading Bot Using Python course is ideal for Students Recent graduates Job Seekers Anyone interested in this topic People already working in the relevant fields and want to polish their knowledge and skill. Prerequisites This Making Automated Trading Bot Using Python does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Making Automated Trading Bot Using Python was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Career path As this course comes with multiple courses included as bonus, you will be able to pursue multiple occupations. This Making Automated Trading Bot Using Python is a great way for you to gain multiple skills from the comfort of your home. Course Curriculum Section 01: Introduction About the course structure 00:05:00 Why working is important? 00:04:00 The free and perfect tools 00:07:00 Our editor: Atom 00:04:00 Version control: Github 00:07:00 Python download (Mac) 00:05:00 Python download (Windows) 00:02:00 Section 02: Python Basics for Trading Introduction 00:03:00 Python Libraries 00:05:00 Iterators: for 00:08:00 Iterators: while 00:08:00 Conditionals: if & else 00:10:00 Logic gates: and & or 00:09:00 Error handling: try & except 00:09:00 Functions and calls to libraries 00:13:00 Objects and classes (1) 00:10:00 Objects and classes (2) 00:07:00 Debugging the code 00:12:00 Closing and wrap up 00:01:00 Section 03: Trading Basics Introduction 00:03:00 Fundamental vs Technical Analysis 00:04:00 Stocks vs CFDs 00:05:00 Long and Short positions 00:04:00 Takeprofit and Stoploss 00:03:00 Setting a real Stoploss 00:08:00 Limit and Market orders 00:10:00 Don't forget the spread 00:04:00 Stock data visualisation: candles 00:08:00 Technical Indicators: about 00:05:00 Exponential Moving Average 00:08:00 EMA use and interpretation 00:06:00 Relative Strength Index 00:07:00 Stochastic Oscillator 00:09:00 Closing and wrap up 00:01:00 Section 04: Bot Code General Structure Introduction 00:02:00 Overview 00:08:00 The Entry Strategy 00:10:00 About Tradingview 00:12:00 When to enter (1) 00:08:00 When to enter (2) 00:08:00 Open and hold a position 00:12:00 Closing a position 00:08:00 Review (1) 00:06:00 Review (2) 00:13:00 Closing 00:02:00 Section 05: Github Basics Introduction 00:04:00 Download and install Github 00:01:00 Create a repo 00:10:00 Working with branches 00:13:00 Section 06: Building Your Bot Introduction 00:05:00 Create the first bot file 00:07:00 Building the bot scheme 00:08:00 Complete your code scheme (1) 00:11:00 Complete your code scheme (2) 00:11:00 Complete your code scheme (3) 00:18:00 A logger to remember (1) 00:14:00 A logger to remember (2) 00:14:00 Organising your code 00:07:00 Main function: run bot 00:23:00 Link the bot and the library 00:08:00 Traderlib control functions (1) 00:12:00 Traderlib control functions (2) 00:13:00 Check if tradable function 00:06:00 Set stoploss function 00:10:00 Set takeprofit function 00:04:00 Load historical data function 00:01:00 Get open positions function 00:04:00 Submit and cancel order functions 00:04:00 Check positions function 00:09:00 The Tulipy libraries 00:07:00 Importing all the libraries 00:03:00 First filter: get general trend 00:19:00 Second filter: get instant trend 00:14:00 Third filter: RSI 00:08:00 Fourth filter: Stochastic Oscillator 00:14:00 Enter position (1) 00:13:00 Enter position (2) 00:11:00 Enter position (3) 00:15:00 Enter position (4) 00:08:00 Last check before opening 00:13:00 Exit position and get out 00:10:00 Linking everything (1) 00:12:00 Linking everything (2) 00:12:00 Linking everything (3) 00:15:00 Fixing a mistake: going Short 00:05:00 Handling all your variables 00:18:00 Closing and wrap up 00:01:00 Run function scheme clarification and rebuild 00:13:00 Section 07: Integrating the Broker API Introduction 00:03:00 The Alpaca Python API Wrapper 00:07:00 Initialising the REST API 00:09:00 Running the program (crash!) 00:06:00 Integration with check account (1) 00:08:00 Integration with check account (2) 00:05:00 Clean open orders function 00:10:00 Importing the trading library 00:04:00 Running the main 00:05:00 Check position function 00:09:00 Check if asset exists function 00:08:00 Fetching barset data (theory) 00:07:00 Fetching barset data (practice) 00:12:00 Updating the code for the Alpaca API V2 (explanation) 00:03:00 Updating the code for the Alpaca API V2 (implementation) 00:08:00 Organizing data with Pandas 00:06:00 Get general trend function (1) 00:08:00 Reframing the timeframe with Pandas 00:23:00 Get general trend function (2) 00:13:00 Get instant trend function 00:08:00 Get RSI function 00:06:00 Get Stochastic function 00:10:00 Get current price function 00:05:00 Finishing get shares amount 00:09:00 Opening a position (1) 00:12:00 Opening a position (2) 00:09:00 Check the open position 00:07:00 Cancelling the order (1) 00:20:00 Cancelling the order (2) 00:08:00 Making sure we cancelled 00:03:00 Get average entry price function 00:10:00 Fixing bugs when getting price 00:18:00 Check Stochastic crossing 00:02:00 Holding an open position 00:11:00 Submitting the exit order 00:08:00 Closing position and out (1) 00:08:00 Closing position and out (2) 00:10:00 Closing and wrap up 00:01:00 Section 08: Running the Trading Bot Introduction 00:03:00 Filtering asset by price and volume 00:07:00 Get the bot ready to trade 00:04:00 Running the Trading Bot with AAPL 00:09:00 A real open position 00:08:00 Debugging and bug fixing 00:12:00 Fixing one (last) bug 00:02:00 Running the bot with TSLA 00:10:00 Discussing EMA implementations 00:12:00 Closing and wrap up 00:02:00

The course 'Deep Learning & Neural Networks Python - Keras' provides a comprehensive introduction to deep learning using the Keras library in Python. It covers topics ranging from basic neural networks to more advanced concepts, such as convolutional neural networks, image augmentation, and performance improvement techniques for various datasets. Learning Outcomes: Understand the fundamental concepts of deep learning and how it differs from traditional machine learning. Gain proficiency in using Keras, a powerful deep learning library, for building and training neural network models. Develop practical skills in creating and optimizing neural network models for different datasets, including image recognition tasks and regression problems. Why buy this Deep Learning & Neural Networks Python - Keras? Unlimited access to the course for forever Digital Certificate, Transcript, student ID all included in the price Absolutely no hidden fees Directly receive CPD accredited qualifications after course completion Receive one to one assistance on every weekday from professionals Immediately receive the PDF certificate after passing Receive the original copies of your certificate and transcript on the next working day Easily learn the skills and knowledge from the comfort of your home Certification After studying the course materials of the Deep Learning & Neural Networks Python - Keras there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Who is this course for? This Deep Learning & Neural Networks Python - Keras course is ideal for Students Recent graduates Job Seekers Anyone interested in this topic People already working in the relevant fields and want to polish their knowledge and skill. Prerequisites This Deep Learning & Neural Networks Python - Keras does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Deep Learning & Neural Networks Python - Keras was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Career path As this course comes with multiple courses included as bonus, you will be able to pursue multiple occupations. This Deep Learning & Neural Networks Python - Keras is a great way for you to gain multiple skills from the comfort of your home. Course Curriculum Course Introduction and Table of Contents Course Introduction and Table of Contents 00:11:00 Deep Learning Overview Deep Learning Overview - Theory Session - Part 1 00:06:00 Deep Learning Overview - Theory Session - Part 2 00:07:00 Choosing Between ML or DL for the next AI project - Quick Theory Session Choosing Between ML or DL for the next AI project - Quick Theory Session 00:09:00 Preparing Your Computer Preparing Your Computer - Part 1 00:07:00 Preparing Your Computer - Part 2 00:06:00 Python Basics Python Basics - Assignment 00:09:00 Python Basics - Flow Control 00:09:00 Python Basics - Functions 00:04:00 Python Basics - Data Structures 00:12:00 Theano Library Installation and Sample Program to Test Theano Library Installation and Sample Program to Test 00:11:00 TensorFlow library Installation and Sample Program to Test TensorFlow library Installation and Sample Program to Test 00:09:00 Keras Installation and Switching Theano and TensorFlow Backends Keras Installation and Switching Theano and TensorFlow Backends 00:10:00 Explaining Multi-Layer Perceptron Concepts Explaining Multi-Layer Perceptron Concepts 00:03:00 Explaining Neural Networks Steps and Terminology Explaining Neural Networks Steps and Terminology 00:10:00 First Neural Network with Keras - Understanding Pima Indian Diabetes Dataset First Neural Network with Keras - Understanding Pima Indian Diabetes Dataset 00:07:00 Explaining Training and Evaluation Concepts Explaining Training and Evaluation Concepts 00:11:00 Pima Indian Model - Steps Explained Pima Indian Model - Steps Explained - Part 1 00:09:00 Pima Indian Model - Steps Explained - Part 2 00:07:00 Coding the Pima Indian Model Coding the Pima Indian Model - Part 1 00:11:00 Coding the Pima Indian Model - Part 2 00:09:00 Pima Indian Model - Performance Evaluation Pima Indian Model - Performance Evaluation - Automatic Verification 00:06:00 Pima Indian Model - Performance Evaluation - Manual Verification 00:08:00 Pima Indian Model - Performance Evaluation - k-fold Validation - Keras Pima Indian Model - Performance Evaluation - k-fold Validation - Keras 00:10:00 Pima Indian Model - Performance Evaluation - Hyper Parameters Pima Indian Model - Performance Evaluation - Hyper Parameters 00:12:00 Understanding Iris Flower Multi-Class Dataset Understanding Iris Flower Multi-Class Dataset 00:08:00 Developing the Iris Flower Multi-Class Model Developing the Iris Flower Multi-Class Model - Part 1 00:09:00 Developing the Iris Flower Multi-Class Model - Part 2 00:06:00 Developing the Iris Flower Multi-Class Model - Part 3 00:09:00 Understanding the Sonar Returns Dataset Understanding the Sonar Returns Dataset 00:07:00 Developing the Sonar Returns Model Developing the Sonar Returns Model 00:10:00 Sonar Performance Improvement - Data Preparation - Standardization Sonar Performance Improvement - Data Preparation - Standardization 00:15:00 Sonar Performance Improvement - Layer Tuning for Smaller Network Sonar Performance Improvement - Layer Tuning for Smaller Network 00:07:00 Sonar Performance Improvement - Layer Tuning for Larger Network Sonar Performance Improvement - Layer Tuning for Larger Network 00:06:00 Understanding the Boston Housing Regression Dataset Understanding the Boston Housing Regression Dataset 00:07:00 Developing the Boston Housing Baseline Model Developing the Boston Housing Baseline Model 00:08:00 Boston Performance Improvement by Standardization Boston Performance Improvement by Standardization 00:07:00 Boston Performance Improvement by Deeper Network Tuning Boston Performance Improvement by Deeper Network Tuning 00:05:00 Boston Performance Improvement by Wider Network Tuning Boston Performance Improvement by Wider Network Tuning 00:04:00 Save & Load the Trained Model as JSON File (Pima Indian Dataset) Save & Load the Trained Model as JSON File (Pima Indian Dataset) - Part 1 00:09:00 Save & Load the Trained Model as JSON File (Pima Indian Dataset) - Part 2 00:08:00 Save and Load Model as YAML File - Pima Indian Dataset Save and Load Model as YAML File - Pima Indian Dataset 00:05:00 Load and Predict using the Pima Indian Diabetes Model Load and Predict using the Pima Indian Diabetes Model 00:09:00 Load and Predict using the Iris Flower Multi-Class Model Load and Predict using the Iris Flower Multi-Class Model 00:08:00 Load and Predict using the Sonar Returns Model Load and Predict using the Sonar Returns Model 00:10:00 Load and Predict using the Boston Housing Regression Model Load and Predict using the Boston Housing Regression Model 00:08:00 An Introduction to Checkpointing An Introduction to Checkpointing 00:06:00 Checkpoint Neural Network Model Improvements Checkpoint Neural Network Model Improvements 00:10:00 Checkpoint Neural Network Best Model Checkpoint Neural Network Best Model 00:04:00 Loading the Saved Checkpoint Loading the Saved Checkpoint 00:05:00 Plotting Model Behavior History Plotting Model Behavior History - Introduction 00:06:00 Plotting Model Behavior History - Coding 00:08:00 Dropout Regularization - Visible Layer Dropout Regularization - Visible Layer - Part 1 00:11:00 Dropout Regularization - Visible Layer - Part 2 00:06:00 Dropout Regularization - Hidden Layer Dropout Regularization - Hidden Layer 00:06:00 Learning Rate Schedule using Ionosphere Dataset - Intro Learning Rate Schedule using Ionosphere Dataset 00:06:00 Time Based Learning Rate Schedule Time Based Learning Rate Schedule - Part 1 00:07:00 Time Based Learning Rate Schedule - Part 2 00:12:00 Drop Based Learning Rate Schedule Drop Based Learning Rate Schedule - Part 1 00:07:00 Drop Based Learning Rate Schedule - Part 2 00:08:00 Convolutional Neural Networks - Introduction Convolutional Neural Networks - Part 1 00:11:00 Convolutional Neural Networks - Part 2 00:06:00 MNIST Handwritten Digit Recognition Dataset Introduction to MNIST Handwritten Digit Recognition Dataset 00:06:00 Downloading and Testing MNIST Handwritten Digit Recognition Dataset 00:10:00 MNIST Multi-Layer Perceptron Model Development MNIST Multi-Layer Perceptron Model Development - Part 1 00:11:00 MNIST Multi-Layer Perceptron Model Development - Part 2 00:06:00 Convolutional Neural Network Model using MNIST Convolutional Neural Network Model using MNIST - Part 1 00:13:00 Convolutional Neural Network Model using MNIST - Part 2 00:12:00 Large CNN using MNIST Large CNN using MNIST 00:09:00 Load and Predict using the MNIST CNN Model Load and Predict using the MNIST CNN Model 00:14:00 Introduction to Image Augmentation using Keras Introduction to Image Augmentation using Keras 00:11:00 Augmentation using Sample Wise Standardization Augmentation using Sample Wise Standardization 00:10:00 Augmentation using Feature Wise Standardization & ZCA Whitening Augmentation using Feature Wise Standardization & ZCA Whitening 00:04:00 Augmentation using Rotation and Flipping Augmentation using Rotation and Flipping 00:04:00 Saving Augmentation Saving Augmentation 00:05:00 CIFAR-10 Object Recognition Dataset - Understanding and Loading CIFAR-10 Object Recognition Dataset - Understanding and Loading 00:12:00 Simple CNN using CIFAR-10 Dataset Simple CNN using CIFAR-10 Dataset - Part 1 00:09:00 Simple CNN using CIFAR-10 Dataset - Part 2 00:06:00 Simple CNN using CIFAR-10 Dataset - Part 3 00:08:00 Train and Save CIFAR-10 Model Train and Save CIFAR-10 Model 00:08:00 Load and Predict using CIFAR-10 CNN Model Load and Predict using CIFAR-10 CNN Model 00:16:00 RECOMENDED READINGS Recomended Readings 00:00:00

The 'Electrical Circuits Laws and Methods' course is designed to provide a comprehensive understanding of electric circuits, laws, and analytical methods. It covers fundamental concepts, basic laws, methods of analysis, circuit theorems, operational amplifiers, and capacitors and inductors. Students will learn essential principles to analyze and design electrical circuits effectively. Learning Outcomes: Understand the basic concepts of electric circuits, including electric charge, current, voltage, power, and energy. Apply Ohm's Law and other basic laws to analyze resistive circuits and determine currents and voltages. Use nodal and mesh analysis methods to analyze and solve complex electrical circuits with various sources. Apply circuit theorems such as the Superposition Theorem, Thevenin's Theorem, and Norton's Theorem to simplify circuit analysis. Comprehend the properties and applications of operational amplifiers in various amplifier configurations. Analyze capacitors and inductors in DC circuits, calculate their stored energy, and understand their equivalent capacitance and inductance in series and parallel configurations. Why buy this Electrical Circuits Laws and Methods? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards and CIQ after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. Unlock career resources for CV improvement, interview readiness, and job success. Certification After studying the course materials of the Electrical Circuits Laws and Methods there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Who is this course for? The Electrical Circuits Laws and Methods course is designed for undergraduate and graduate electrical engineering students as a foundational study of circuit theory. It is suitable for electronics enthusiasts eager to grasp the functioning and design of electrical circuits for various applications. Engineering technicians and technologists working in fields like telecommunications and manufacturing can benefit from this course to better understand and troubleshoot electrical circuits in practical settings. Electrical technicians and electricians can enhance their problem-solving abilities and theoretical knowledge of electrical circuits by taking this course. Hobbyists and DIY enthusiasts interested in electronics projects will find value in learning circuit design and troubleshooting through this course. Professionals in engineering and related fields can use this course for continuing education to refresh their knowledge and stay up-to-date with advancements in electrical circuit theory and methods. Prerequisites This Electrical Circuits Laws and Methods does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Electrical Circuits Laws and Methods was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Career path Electrical Engineer: £28,000 - £70,000 per year Electronics Engineer: £30,000 - £75,000 per year Electrician: £24,000 - £45,000 per year Power Systems Engineer: £32,000 - £80,000 per year Telecommunications Engineer: £28,000 - £70,000 per year Automation and Control Systems Engineer: £35,000 - £80,000 per year Course Curriculum Unit 1- Basic Concepts Module 1- What Is an Electric Circuit 00:02:00 Module 2-System of Units 00:07:00 Module 3- What Is an Electric Charge 00:05:00 Module 4- What Is an Electric Current 00:08:00 Module 5-Example 1 00:01:00 Module 6- Example 2 00:02:00 Module 7- Example 3 00:02:00 Module 8- What Is Voltage 00:07:00 Module 9- What Is Power 00:06:00 Module 10- What Is Energy 00:04:00 Module 11- Example 4 00:03:00 Module 12-Example 5 00:03:00 Module 13- Dependent and Independent Sources 00:05:00 Module 14- Example 6 Part 1 00:04:00 Module 15- Example 6 Part 2 00:01:00 Module 16- Application 1 Cathode Ray Tube 00:04:00 Module 17-Example 10 00:03:00 Module 18- Application 2 Electricity Bills 00:02:00 Module 19- Example 8 00:03:00 Unit 2- Basic Laws Module 1- Introduction to Basic Laws 00:01:00 Module 2- Definition of Resistance 00:06:00 Module 3- Ohm's Law 00:02:00 Module 4- Types of Resistances 00:06:00 Module 5- Open and Short Circuit 00:05:00 Module 6- Definition of Conductance 00:04:00 Module 7-Example 1 00:01:00 Module 8- Example 2 00:03:00 Module 9- Example 3 00:03:00 Module 10- Branch, Node and Loops 00:07:00 Module 11- Series and Parallel Connection 00:04:00 Module 12- KCL 00:04:00 Module 13- KVL 00:03:00 Module 14- Example 4 00:05:00 Module 15- Example 5 00:02:00 Module 16- Example 6 00:06:00 Module 17- Series Resistors and Voltage Division 00:07:00 Module 18-Parallel Resistors and Current Division 00:12:00 Module 19- Analogy between Resistance and Conductance 00:07:00 Module 20-Example 7 00:03:00 Module 21-Example 8 00:04:00 Module 22- Introduction to Delta-Wye Connection 00:06:00 Module 23-Delta to Wye Transformation 00:05:00 Module 24- Wye to Delta Transformation 00:07:00 Module 25-Example 9 00:03:00 Module 26- Example 10 00:15:00 Module 27- Application Lighting Bulbs 00:03:00 Module 28-Example 11 00:05:00 Unit 3- Methods of Analysis Module 1- Introduction to Methods of Analysis 00:02:00 Module 2- Nodal Analysis with No Voltage Source 00:15:00 Module 3-Example 1 00:04:00 Module 4-Cramer's Method 00:04:00 Module 5-Nodal Analysis with Voltage Source 00:07:00 Module 6- Example 2 00:05:00 Module 7- Example 3 00:13:00 Module 8-Mesh Analysis with No Current Source 00:10:00 Module 9-Example 4 00:04:00 Module 10- Example 5 00:06:00 Module 11-Mesh Analysis with Current Source 00:07:00 Module 12-Example 6 00:08:00 Module 13-Nodal Vs Mesh Analysis 00:04:00 Module 14-Application DC Transistor 00:04:00 Module 15-Example 7 00:04:00 Unit 4- Circuit Theorems Module 1-Introduction to Circuit theorems 00:02:00 Module 2-Linearity of Circuit 00:07:00 Module 3-Example 1 00:04:00 Module 4-Superposition Theorem 00:07:00 Module 5- Example 2 00:04:00 Module 6-Example 3 00:06:00 Module 7-Source Transformation 00:08:00 Module 8-Example 4 00:05:00 Module 9-Example 5 00:03:00 Module 10-Thevenin Theorem 00:10:00 Module 11-Example 6 00:06:00 Module 12-Example 7 00:05:00 Module 13- Norton's Theorem 00:05:00 Module 14-Example 8 00:03:00 Module 15-Example 9 00:05:00 Module 16-Maximum Power Transfer 00:05:00 Module 17-Example 10 00:03:00 Module 18-Resistance Measurement 00:05:00 Module 19-Example 11 00:01:00 Module 20-Example 12 00:04:00 Module 21-Summary 00:05:00 Unit 5- Operational Amplifiers Module 1-Introduction to Operational Amplifiers 00:03:00 Module 2-Construction of Operational Amplifiers 00:07:00 Module 3-Equivalent Circuit of non Ideal Op Amp 00:10:00 Module 4-Vo Vs Vd Relation Curve 00:03:00 Module 5-Example 1 00:09:00 Module 6-Ideal Op Amp 00:07:00 Module 7- Example 2 00:04:00 Module 8-Inverting Amplifier 00:05:00 Module 9-Example 3 00:05:00 Module 10-Example 4 00:02:00 Module 11-Non Inverting Amplifier 00:08:00 Module 12-Example 5 00:03:00 Module 13-Summing Amplifier 00:05:00 Module 14-Example 6 00:02:00 Module 15-Difference amplifier 00:06:00 Module 16-Example 7 00:08:00 Module 17-Cascaded Op Amp Circuits 00:06:00 Module 18-Example 8 00:04:00 Module 19-Application Digital to Analog Converter 00:06:00 Module 20-Example 9 00:04:00 Module 21-Instrumentation Amplifiers 00:05:00 Module 22-Example 10 00:01:00 Module 23-Summary 00:04:00 Unit 6- Capacitors and Inductors Module 1-Introduction to Capacitors and Inductors 00:02:00 Module 2-Capacitor 00:06:00 Module 3-Capacitance 00:02:00 Module 4-Voltage-Current Relation in Capacitor 00:03:00 Module 5-Energy Stored in Capacitor 00:06:00 Module 6-DC Voltage and Practical Capacitor 00:02:00 Module 7-Example 1 00:01:00 Module 8-Example 2 00:01:00 Module 9-Example 3 00:05:00 Module 10-Equivalent Capacitance of Parallel Capacitors 00:02:00 Module 11-Equivalent Capacitance of Series Capacitors 00:03:00 Module 12-Example 4 00:02:00 Module 13-Definition of Inductors 00:06:00 Module 14-Definition of Inductance 00:03:00 Module 15-Voltage-Current Relation in Inductor 00:03:00 Module 16-Power and Energy Stored in Inductor 00:02:00 Module 17-DC Source and Inductor 00:04:00 Module 18-Example 5 00:02:00 Module 19-Series Inductors 00:03:00 Module 20-Parallel Inductors 00:04:00 Module 21-Example 6 00:01:00 Module 22-Small Summary to 3 Basic Elements 00:02:00 Module 23-Example 7 00:05:00 Module 24-Application Integrator 00:05:00 Module 25-Example 8 00:03:00 Module 26-Application Differentiator 00:02:00 Module 27-Example 9 00:06:00 Module 28-Summary 00:05:00 Assignment Assignment - Electrical Circuits Laws and Methods 00:00:00

This course aims to prepare individuals for the AWS Certified Solutions Architect Associate exam. It covers essential AWS services, cloud architecture design, deployment strategies, and best practices for managing various AWS components. Learning Outcomes: Understand the fundamental concepts of AWS Cloud Services and their application in real-world scenarios. Design and implement AWS Storage and Virtual Private Cloud (VPC) solutions. Learn how to design, implement, and manage Compute Services effectively. Master Identity and Access Management (IAM) and its best practices for secure access control. Explore Auto Scaling Solutions and Virtual Network Services to optimize AWS infrastructure. Gain proficiency in deploying applications and databases on AWS. Discover additional AWS services and their integration for comprehensive cloud solutions. Develop insights into achieving operational excellence with AWS services. Why buy this AWS Certified Solutions Architect Associate Preparation? Unlimited access to the course for forever Digital Certificate, Transcript, student ID all included in the price Absolutely no hidden fees Directly receive CPD accredited qualifications after course completion Receive one to one assistance on every weekday from professionals Immediately receive the PDF certificate after passing Receive the original copies of your certificate and transcript on the next working day Easily learn the skills and knowledge from the comfort of your home Certification After studying the course materials of the AWS Certified Solutions Architect Associate Preparation there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Who is this course for? This AWS Certified Solutions Architect Associate Preparation course is ideal for Students Recent graduates Job Seekers Anyone interested in this topic People already working in the relevant fields and want to polish their knowledge and skill. Prerequisites This AWS Certified Solutions Architect Associate Preparation does not require you to have any prior qualifications or experience. You can just enrol and start learning.This AWS Certified Solutions Architect Associate Preparation was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Career path As this course comes with multiple courses included as bonus, you will be able to pursue multiple occupations. This AWS Certified Solutions Architect Associate Preparation is a great way for you to gain multiple skills from the comfort of your home. Course Curriculum Section 01: Introduction Introduction 00:03:00 Section 02: Exam Tips and Tricks What is AWS? 00:02:00 Why use AWS? 00:03:00 How to Get Started with AWS 00:04:00 AWS Certifications 00:04:00 Preparation Resources 00:02:00 Benefits of Certification 00:02:00 AWS CSA-A Overview 00:04:00 What's New on the 2020 Updated Exam? 00:03:00 AWS CSA-A Exam Objectives 00:06:00 The Four Key Areas (Compute, Networking, Storage, and Databases) 00:04:00 Master the Knowledge Areas 00:02:00 Use the System 00:05:00 Take Notes 00:03:00 Be Mentally and Physically Prepared 00:04:00 Take the Exam 00:04:00 Section 03: AWS Cloud Services Overview Cloud Computing Defined 00:08:00 Benefits of Cloud Computing 00:10:00 Cloud Computing Models 00:07:00 History 00:07:00 Platform 00:06:00 Services, Part 1 00:10:00 Services, Part 2 00:08:00 Security and Compliance 00:07:00 Regions and Availability 00:06:00 Section 04: AWS Storage Design Storage Services 00:07:00 S3 Storage Class 00:07:00 S3 Terminology 00:09:00 S3 Advanced Features 00:08:00 Creating S3 Buckets Lab 00:08:00 S3 Bucket Properties 00:08:00 S3 Managing Objects Lab 00:11:00 Glacier 00:07:00 Setting up a Glacier Vault Lab 00:08:00 S3 and Tape Gateway 00:06:00 S3 Enhanced Features 00:08:00 Elastic Block Store (EBS) 00:08:00 Creating EBS Volumes Lab 00:07:00 Elastic File System (EFS) 00:07:00 Creating an EFS File System Lab 00:07:00 EFS and PrivateLink 00:03:00 Intro to Amazon FSx 00:06:00 Hands-on with FSx 00:06:00 Integrating on-Premises Storage 00:07:00 Storage Access Security Lab 00:10:00 Storage Performance 00:08:00 Section 05: Virtual Private Cloud (VPC) Virtual Private Cloud (VPC) Overview 00:10:00 Creating a VPC Lab 00:11:00 Configuring DHCP Options Lab 00:04:00 Elastic IP Addresses 00:07:00 Elastic Network Interfaces (ENIs) 00:05:00 Endpoints 00:07:00 VPC Peering 00:08:00 Creating a VPC Peering Connection Lab 00:10:00 Security Groups Overview 00:07:00 Network Address Translation (NAT) 00:11:00 Gateways (VPGs and CGWs) 00:08:00 VPN Configuration Option 00:04:00 Section 06: Compute Services Design EC2 Overview 00:11:00 EC2 Instance Types 00:11:00 EC2 Pricing 00:13:00 EBS and EC2 00:05:00 Section 07: Compute Services Implementation Launching an EC2 Linux Instance Lab 00:13:00 Configuring an EC2 Linux Instance Lab 00:08:00 Setting up an EC2 Windows Instance Lab 00:12:00 Shared Tenancy 00:05:00 Dedicated Hosts 00:08:00 Dedicated Instances 00:06:00 AMI Virtualization 00:12:00 Section 08: Compute Services Management Instance Management 00:09:00 Connecting to Instances Lab 00:09:00 Working with Security Groups 00:10:00 Working with Security Groups Lab 00:10:00 Advanced EC2 Management 00:06:00 AWS Batch 00:06:00 Elastic Container Service (ECS) 00:08:00 Elastic Beanstalk Environment 00:11:00 Section 09: Identity and Access Management (IAM) Identity and Access Management (IAM) Overview 00:07:00 Principals 00:10:00 Root User 00:06:00 Authentication 00:06:00 Authorization Policies 00:13:00 Multi-Factor Authentication 00:08:00 Key Rotation 00:10:00 Multiple Permissions 00:06:00 AWS Compliance Program 00:07:00 AWS Security Hub 00:06:00 Shared Responsibility Models 00:06:00 Section 10: IAM Best Practices User Accounts 00:11:00 Password Policies 00:09:00 Credential Rotation 00:06:00 Principle of Least Privilege 00:05:00 IAM Roles 00:08:00 Policy Conditions 00:08:00 CloudTrail 00:12:00 Section 11: Auto Scaling Solutions Auto Scaling Overview 00:06:00 Auto Scaling Groups 00:04:00 Termination Policies 00:07:00 Auto Scaling Configuration Lab 00:13:00 Launch Methods 00:04:00 Load Balancer Concepts 00:08:00 Elastic Load Balancing (ELB) 00:10:00 Section 12: Virtual Network Services DNS 00:14:00 Configuring DNS Lab 00:07:00 Configuring Route 53 Lab 00:13:00 Configuring ACLs and NACLs Lab 00:09:00 Flow Logs 00:07:00 Section 13: AWS Application Deployment Application and Deployment Services 00:04:00 Lambda 00:06:00 API Gateway 00:09:00 Kinesis 00:06:00 Kinesis Data Streams and Firehose 00:06:00 Kinesis Data Analytics 00:04:00 Reference Architectures 00:06:00 CloudFront 00:10:00 Web Application Firewall (WAF) 00:09:00 Simple Queue Service (SQS) 00:10:00 Simple Notification Service (SNS) 00:08:00 Simple Workflow (SWF) 00:07:00 Step Functions 00:05:00 OpsWorks 00:08:00 Cognito 00:04:00 Elastic MapReduce (EMR) 00:05:00 CloudFormation 00:10:00 CloudFormation Properties 00:03:00 CloudWatch 00:06:00 Trusted Advisor 00:07:00 Organizations 00:09:00 Section 14: AWS Database Design Database Types 00:08:00 Relational Databases 00:08:00 Database Hosting Methods 00:05:00 High Availability Solutions 00:06:00 Scalability Solutions 00:06:00 Database Security 00:08:00 Aurora 00:06:00 Redshift 00:11:00 DynamoDB 00:10:00 Section 15: Database Deployment DynamoDB Tables Lab 00:08:00 MySQL Lab 00:13:00 Configuration Lab 00:13:00 Backups Lab 00:04:00 Restore Lab 00:04:00 Snapshot Lab 00:08:00 Monitoring Lab 00:06:00 Section 16: Additional AWS Services Media Content Delivery 00:13:00 Desktop and Appstreaming 00:06:00 ElastiCache 00:05:00 Security Services Lab 00:12:00 Analytics Engines 00:11:00 Development Operations (DevOps) 00:12:00 AWS Solutions 00:05:00 AWS Transit Gateway 00:03:00 AWS Backup 00:04:00 AWS Cost Explorer 00:04:00 Section 17: Operational Excellence with AWS The Operational Excellence Process 00:08:00 Widget Makers Scenario 00:06:00 Resilient Design 00:08:00 Resilient Design Scenario 00:05:00 Performant Design 00:09:00 Performant Design Scenario 00:06:00 Secure Design 00:08:00 Secure Design Scenario 00:05:00 Cost Optimization 00:07:00 Cost Optimization Scenario 00:05:00 General Best Practices 00:07:00

***Business Management Certificate*** Our Level 2 Certificate in Business Management course is designed by the relevant industry experts so that you can gain excellent theoretical and practical knowledge and skills in business management. In modern businesses, the business administrator or business manager is the key person who contributes effectively to the organisation's success and is considered a leader in contemporary management approaches. This course is designed in such a way to provide candidates with effective knowledge and essential skills that are in demand in modern organisations. This Level 2 Certificate in Business Management course will teach you more about what it takes to be a manager and business analyst. Through this course, you will gain in-depth knowledge of business management, as well as the roles and responsibilities of business managers in modern organisations. The Level 2 Certificate in Business Management course will teach you about various business operations such as human resource management, communication management, risk analysis, evaluation and management, and customer relationship management. It will define business managers' roles in all of these operations. Furthermore, through thiscourse, you will learn how teams are formed within an organisation and effectively managed. Learning Outcomes After completing this Level 2 Certificate in Business Management course, the learner will be able to: Gain a thorough understanding of Business Management. Understand the basic concepts of Human Resource Management. Understand the basic concepts of Customer Relationship Management. Understand the basic concepts of Performance Management. Understand the basic concepts of Risk Management. Why Choose this Course from Us Self-paced course, access available from anywhere. Easy to understand, high-quality study materials. Course developed by industry experts. MCQ quiz after each module to assess your learning. Automated and instant assessment results. 24/7 support via live chat, phone call or email. Free PDF certificate as soon as completing the course. ***Business Management Certificate*** Course Curriculum of Business Management Module 01: An Overview of Business Management Module 02: Fundamental Concepts of Human Resource Management Module 03: Fundamental Concepts of Customers Relationship Management Module 04: Fundamental Concepts of Performance Management Module 05: Fundamental Concepts of Risk Management ---------------- Assessment Method After completing each module of the Business Management Course, you will find automated MCQ quizzes. To unlock the next module, you need to complete the quiz task and get at least 60% marks. Certification After completing the MCQ/Assignment assessment for this Business Management course, you will be entitled to a Certificate of Completion from Training Tale. The certificate is in PDF format, which is completely free to download. A printed version is also available upon request. It will also be sent to you through a courier for £13.99. Who is this course for? Business Management Certificate The course is ideal for individuals interested in business management and learning more about the business world and its administration. Requirements Business Management Certificate There are no specific requirements for this Business Management course because it does not require any advanced knowledge or skills. Certificates Certificate of completion Digital certificate - Included

Our Level 2 Certificate in Business Management course is designed by the relevant industry experts so that you can gain excellent theoretical and practical knowledge and skills in business management. In modern businesses, the business administrator or business manager is the key person who contributes effectively to the organisation's success and is considered a leader in contemporary management approaches. This course is designed in such a way to provide candidates with effective knowledge and essential skills that are in demand in modern organisations. This Level 2 Certificate in Business Management course will teach you more about what it takes to be a manager and business analyst. Through this course, you will gain in-depth knowledge of business management, as well as the roles and responsibilities of business managers in modern organisations. The Level 2 Certificate in Business Management course will teach you about various business operations such as human resource management, communication management, risk analysis, evaluation and management, and customer relationship management. It will define business managers' roles in all of these operations. Furthermore, through this Level 2 Certificate in Business Management course, you will learn how teams are formed within an organisation and effectively managed. Learning Outcomes After completing this Level 2 Certificate in Business Management course, the learner will be able to: Gain a thorough understanding of Business Management. Understand the basic concepts of Human Resource Management. Understand the basic concepts of Customer Relationship Management. Understand the basic concepts of Performance Management. Understand the basic concepts of Risk Management. Why Choose Course from Us Self-paced course, access available from anywhere. Easy to understand, high-quality study materials. Course developed by industry experts. MCQ quiz after each module to assess your learning. Automated and instant assessment results. 24/7 support via live chat, phone call or email. Free PDF certificate as soon as completing the course. ***Level 2 Certificate in Business Management Course 01: Level 2 Certificate in Business Management Course 02: Level 3 Business Administration Course 03: Level 7 Diploma in Operations Management ***Other Benefits of this Free 3 PDF Certificate Lifetime Access Free Retake Exam Tutor Support [ Note: Free PDF certificate as soon as completing the Level 2 Certificate in Business Management course] ***Level 2 Certificate in Business Management*** Course Curriculum of Level 2 Certificate in Business Management Module 01: An Overview of Business Management Module 02: Fundamental Concepts of Human Resource Management Module 03: Fundamental Concepts of Customers Relationship Management Module 04: Fundamental Concepts of Performance Management Module 05: Fundamental Concepts of Risk Management ---------------- Assessment Method After completing each module of the Level 2 Certificate in Business Management Course, you will find automated MCQ quizzes. To unlock the next module, you need to complete the quiz task and get at least 60% marks. Certification After completing the MCQ/Assignment assessment for this Level 2 Certificate in Business Management course, you will be entitled to a Certificate of Completion from Training Tale. The certificate is in PDF format, which is completely free to download. A printed version is also available upon request. It will also be sent to you through a courier for £13.99. Who is this course for? Level 2 Certificate in Business Management The course is ideal for individuals interested in business management and learning more about the business world and its administration. Requirements Level 2 Certificate in Business Management There are no specific requirements for this Level 2 Certificate in Business Management course because it does not require any advanced knowledge or skills. Certificates Certificate of completion Digital certificate - Included