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This comprehensive course unlocks the boundless potential of LangChain, Pinecone, OpenAI, and LLAMA 2 LLM, guiding you from AI novice to expert. Dive into 15 different practical projects, from dynamic chatbots to data analysis tools, and cultivate a profound understanding of AI, empowering your journey into the future of language-based applications.

Overview This comprehensive course on Ethical Hacking with Kali Linux will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Ethical Hacking with Kali Linux comes with accredited certification, which will enhance your CV and make you worthy in the job market. So enrol in this course today to fast track your career ladder. How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is This course for? There is no experience or previous qualifications required for enrolment on this Ethical Hacking with Kali Linux. It is available to all students, of all academic backgrounds. Requirements Our Ethical Hacking with Kali Linux is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career Path Having these various qualifications will increase the value in your CV and open you up to multiple sectors such as Business & Management, Admin, Accountancy & Finance, Secretarial & PA, Teaching & Mentoring etc. Course Curriculum 16 sections • 150 lectures • 05:54:00 total length •Introduction to the course: 00:05:00 •Virtual box installation: 00:16:00 •Kali linux installation: 00:14:00 •Enabling full screen: 00:18:00 •Basic commands part 1: 00:10:00 •Basic commands part 2: 00:21:00 •Basic commands part 3: 00:13:00 •Changing ip address and wireless adapter setup: 00:05:00 •Creating a bootable Kali USB drive: 00:05:00 •Essential networking terms: 00:10:00 •Essential hacking terms: 00:18:00 •Additional kali tools to install: 00:09:00 •Changing our MAC address with mac changer: 00:06:00 •Google hacking: 00:13:00 •Nikto basics: 00:11:00 •Whois tools: 00:07:00 •Email harvesting: 00:06:00 •Shodan: 00:10:00 •Zone transfer with Dig: 00:08:00 •Installing Metasploitable: 00:07:00 •Nmap part 1: 00:16:00 •Nmap part 2: 00:12:00 •Nmap part 3: 00:12:00 •Zen map: 00:08:00 •TCP scans: 00:16:00 •Nmap by passing defenses: 00:17:00 •Nmap scripts part 1: 00:09:00 •Nmap scripts part 2: 00:14:00 •Installing OWASP: 00:08:00 •HTTP request: 00:10:00 •HTTP response: 00:10:00 •Burpsuite configuration: 00:13:00 •Editing packets in Burpsuite: 00:12:00 •Whatweb and Dirb: 00:10:00 •Password recovery attack: 00:16:00 •Burpsuite login bruteforce: 00:11:00 •Hydra login bruteforce: 00:09:00 •Session fixation: 00:14:00 •Injection attacks: 00:06:00 •Simple command injection: 00:11:00 •Exploiting command injection vulnerability: 00:08:00 •Finding blind command injection: 00:14:00 •SQL basics: 00:10:00 •Manual SQL injection part 1: 00:13:00 •Manual SQL injection part 2: 00:21:00 •SQL map basics: 00:17:00 •XML injection: 00:16:00 •Installing XCAT and preventing injection attacks: 00:06:00 •Reflected XSS: 00:11:00 •Stored XSS: 00:13:00 •Changing HTML code with XSS: 00:07:00 •XSSer and XSS sniper: 00:14:00 •Wireless attacking theory: 00:11:00 •Enabling monitor mode: 00:05:00 •Capturing handshake with airodump: 00:15:00 •Rockyou.txt: 00:14:00 •Cracking with aircrack: 00:16:00 •Cracking with hashcat: 00:15:00 •Creating password lists with crunch: 00:18:00 •Creating password lists with cup: 00:07:00 •Rainbow tables part 1: 00:17:00 •Rainbow tables part 2: 00:06:00 •Installing fluxion: 00:06:00 •Finding and cracking hidden networks: 00:08:00 •Preventing wireless attacks: 00:08:00 •ARP protocol basics: 00:10:00 •Man in the middle attack theory: 00:07:00 •Installing MITMf: 00:07:00 •Manual ARP spoofing: 00:13:00 •Problems while installing MITMf: 00:06:00 •HTTP traffic sniffing: 00:08:00 •DNS spoofing and HTTPS password sniffing: 00:24:00 •Hooking browser with BEEF: 00:16:00 •Screenshotting targets browser: 00:11:00 •Cloning any webpage: 00:09:00 •Ettercap basics: 00:07:00 •MFS console environment: 00:16:00 •Metasploit modules explained: 00:12:00 •Bruteforcing SSH with Metasploit: 00:15:00 •Attacking tomcat with metasploit: 00:09:00 •Getting meterpreter with command injection: 00:25:00 •PHP code injection: 00:06:00 •Metasploitable exploits: 00:07:00 •Wine installation: 00:12:00 •Creating windows payloads with Msfvenom: 00:10:00 •Encoders and Hex editors: 00:19:00 •Windows 10 meterpreter shell: 00:12:00 •Meterpreter environment: 00:11:00 •Windows 10 privilege escalation: 00:11:00 •Preventing privilege escalation: 00:06:00 •Post exploitation modules: 00:14:00 •Getting Meterpreter over Internet with port forwarding: 00:11:00 •Eternalblue exploit: 00:20:00 •Persistence module: 00:13:00 •Hacking over the internet with Ngrok: 00:10:00 •Android device hacking with venom: 00:10:00 •The real hacking begins now!: 00:02:00 •Variables: 00:14:00 •Raw input: 00:11:00 •If else statements: 00:10:00 •For loops: 00:07:00 •While loops: 00:08:00 •Python lists: 00:08:00 •Functions: 00:15:00 •Classes: 00:10:00 •Importing libraries: 00:07:00 •Files in python: 00:12:00 •Try and except the rule: 00:05:00 •Theory behind reverse shells: 00:07:00 •Simple server code: 00:13:00 •Connection with reverse shell: 00:07:00 •Sending and receiving messages: 00:11:00 •Sending messages with while true loop: 00:08:00 •Executing commands on target system: 00:10:00 •Fixing backdoor bugs and adding functions: 00:20:00 •First test using our backdoor: 00:18:00 •Trying to connect every 20 seconds: 00:12:00 •Creating persistence part 1: 00:06:00 •Creating persistence part 2: 00:17:00 •Changing directory: 00:12:00 •Uploading and downloading files: 00:22:00 •Downloading files from the internet: 00:23:00 •Starting programs using our backdoor: 00:07:00 •Capturing screenshots on the target PC: 00:19:00 •Embedding backdoor in an image part 1: 00:13:00 •Embedding backdoor in an image part 2: 00:09:00 •Checking for administrator privileges: 00:12:00 •Adding help option: 00:09:00 •Importing Pynput: 00:10:00 •Simple keylogger: 00:10:00 •Adding report function: 00:11:00 •Writing key strokes to a file: 00:14:00 •Adding the keylogger to our reverse shell part 1: 00:23:00 •Adding the keylogger to our reverse shell part 2: 00:08:00 •Final project test: 00:14:00 •Printing banner: 00:11:00 •Adding available options: 00:11:00 •Starting threads for bruteforce: 00:08:00 •Writing function to run the attack: 00:11:00 •Bruteforcing router login: 00:10:00 •Bypassing antivirus with your future programs: 00:14:00 •Sending malware with spoofed email: 00:15:00 •What will you learn in this section?: 00:03:00 •Why is ethical hacking a valuable skill?: 00:23:00 •What is the best ethical hacking certification?: 00:17:00 •Tips for getting your first job as an ethical hacker: 00:18:00 •How I started my career as an ethical hacker: 00:14:00 •How to price your work: 00:11:00 •Bonuses. Enjoy the Benefits: 01:05:00 •Assignment - Ethical Hacking with Kali Linux: 00:00:00

Course Overview Learn how you can generate more leads and boost sales with creative advertising! These days, if you want to sell a product you have to be creative. Consumers are getting smarter and smarter and they're not easily impressed. Old marketing strategies do not work anymore.  This Extended Diploma in Creative Advertising will help you level up your advertising game. It'll teach you the secrets of creating ads that'll sell your products and how you can become an amazing advertiser.  In the course, you'll learn what advertising is, what you should emphasise on in your ads, what headlines you should use and how you can trigger an emotional response in your customers with your ads that'll compel them to buy your products. You'll also learn how you can advertise the Unique Selling Proposition (USP) of your product and use it to achieve your advertising goals. Remember, advertising is how you attract your customers. So, you better make sure you nail your advertising. Enrol today! What You Will Learn This is one of the top courses on creative advertising you'll find and it'll teach you everything that you need to know about this amazing topic. What is Advertising? What to emphasise on in your ads How to trigger an emotional response in your customers How to create ads that your customers will believe How to advertise The Unique Selling Proposition (USP) of your product What headline you should use How your writing should be The Structure of AIDA and many more Why You Should Choose This Course From iStudy Study at your own pace Full Tutor support on weekdays (Monday - Friday) Fully compatible with any device Free Printable PDF Certificate immediately after completion No prior qualifications are needed to take this course No hidden fees or exam charges CPD Qualification Standards and IAO accredited Efficient exam system, assessment, and instant results Our customer support team is always ready to help you Gain professional skills and better earning potential Certification After completing the course you'll receive a free printable CPD accredited PDF certificate. Hard Copy certificate is also available, and you can get one for just £9! Accreditation This course is accredited by Continuing Professional Development (CPD). It is a recognised independent accreditation service. Enrol today and learn something new with iStudy. You'll find a full breakdown of the course curriculum down below, take a look and see just how much this course offers. We're sure you'll be satisfied with this course. Extended Diploma in Creative Advertising What is Advertising? FREE 01:00:00 Emphasize Benefits, Not Features FREE 00:30:00 Push Their Emotional Hot Buttons 01:00:00 Incorporating Proof and Believability 01:00:00 The Unique Selling Proposition (USP) 01:00:00 The Headline 00:30:00 The More You Tell, The More You Sell 00:30:00 Write To Be Scanned 00:30:00 The Structure of AIDA 00:30:00 Use Takeaway Selling to Increase the Urgency 01:00:00 Conclusion 00:15:00 Mock Exam Mock Exam- Extended Diploma in Creative Advertising 00:20:00 Final Exam Final Exam- Extended Diploma in Creative Advertising 00:20:00

Course Overview: Research shows that 82% of businesses have reported significant boosts in productivity due to the deployment of Virtual Assistants (VA). As content remains king online, mastering the art of efficiently curating, creating, and editing content is indispensable. "Hiring Virtual Assistance for Content Creation" serves as a beacon, guiding you through the nuances of outsourcing content creation to VAs. This course delves deep, from understanding the value of your time and providing price insights on outsourcing to training a VA to utilise tools like WordPress and Camtasia. Moreover, we delve into the depths of platforms like Fiverr, Text Broker, UpWork, and iWriter. The journey doesn't end there. We discuss vital components like feedback mechanisms, the art of making referrals and managing a team of writers efficiently. After all, understanding potential pitfalls, as exemplified in the section on lessons learned from ineffective VAs, can save invaluable time and resources. Enrol today and begin your journey in mastering the world of virtual assistance in content creation. Key Features of the Course: Comprehensive CPD certificate upon course completion. 24/7 Learning Assistance is available to guide you at every step. Engaging learning materials crafted to maximise understanding and retention. Who is This Course For? This Hiring Virtual Assistance for Content Creation course is tailor-made for business owners, content creators, managers, and anyone looking to optimise content creation using Virtual Assistants. Learning Outcome Comprehend the importance of hiring a VA in the content creation realm. Recognise the monetary and temporal value of outsourcing. Navigate top platforms to find the suitable VA. Master training techniques, including the use of recording software. Manage content editing and publishing effectively. Understand the art of feedback and the power of positive reinforcement. Learn to manage a team of writers effectively. Gain insights from past mistakes when working with VAs. Why Enrol in This Course: Stay ahead in the content game. This top-reviewed and recently updated Hiring Virtual Assistance for Content Creation course equips you with skills essential to leverage the power of VAs, ensuring that you remain at the forefront of content creation and management. Requirements: To enrol in this Hiring Virtual Assistance for Content Creation course, Basic understanding of content creation, management, and access to a computer and stable internet. Career Path: Upon Hiring Virtual Assistance for Content Creation course completion, various avenues open up, including: Content Manager: £40,000 annually Digital Project Manager: £45,000 annually Virtual Assistant Coordinator: £35,000 annually Content Strategist: £50,000 annually Outsourcing Specialist: £42,000 annually VA Training Specialist: £38,000 annually Content Creation Analyst: £41,000 annually Certification: On successful course completion, learners will receive a recognised CPD certificate, boosting their professional standing and prowess in content creation using VAs. Course Curriculum 6 sections • 18 lectures • 00:59:00 total length •What to expect from this course: 00:01:00 •Why You Should Hire a VA: 00:01:00 •Your Time Is Valuable: 00:02:00 •Price Insights on Outsourcing Content Writing: 00:03:00 •Training Your VA To Publish on WordPress Sites: 00:03:00 •Using Recording Software Such as Camtasia: 00:01:00 •Example Training Video: 00:13:00 •Editing Content: 00:03:00 •Finding The Right People To Work With: 00:03:00 •Fiverr: 00:04:00 •Text Broker: 00:05:00 •UpWork: 00:07:00 •iWriter: 00:02:00 •Leaving Positive Feedback: 00:01:00 •Making Referrals: 00:02:00 •Hiring a Content Manager to Manage a Team of Writers: 00:04:00 •Lessons Learned From Working With Ineffective VA's: 00:03:00 •Conclusion To The Course: 00:01:00

22-in-1 Advanced Diploma| CPD Certified| +Gifts: 22 Free PDF Certificate| Lifetime Access| Learner Support

CPD Certified | 20 Courses Bundle| 200 CPD Points| 20 Free PDF+ Transcript Certificate| Lifetime Access| Tutor Support

Business Management: Business Management Training Do you want to be a skilled professional or a suitable novice? You will gain all the knowledge you need to launch or advance your Business Management career at the top level through this Business Management course. You can improve technical skills and your understanding of company management by taking a business management course. You will learn about operational management and risk management in the business management course. Moreover, business management encompasses project management, succession planning, and other topics. With this business management course, you can also study about a variety of strategic approaches and business management planning. Also, this step-by-step business management course outlines many problems and solutions to assist you in making wise management choices. Take the next step in achieving your personal and professional objectives by enrolling this Business Management right away. Learning Outcomes of Business Management Course At the end of the Business Management course, the learner will be able to: Provide a brief idea about Business Management and its importance. Discuss all the terms related to Business Management. Business Management clarifies the differences between a leader and a manager. Business Management describes the theory of leadership and management to encourage organizational direction. Business Management determines the personal and technical skills needed to attain strategic objectives. Develop a personal improvement plan and describe the concepts of strategic business management. Business Management will enhance understanding of UK law and regulations related to business. Business Management develops an action plan for an organization. Main Course: Business Management - Level 7 GIFT COURSES Course 01: HR and Payroll Management Course 02: Level 5 Retail Management Course 03: Level 5 Diploma in Risk Management Course 04: Level 4 Time Management Course 05: Level 7 Diploma in Facilities Management Course 06: Level 5 Report Writing Special Offers of this Business Management Course This Business Management Course includes a FREE PDF Certificate. Lifetime access to this Business Management Course Instant access to this Business Management: Business Management Course Get FREE Tutor Support from Monday to Friday in this Business Management: Business Management Course [ Note: Free PDF certificate as soon as completing the Business Management: Business Management Training Course] Business Management: Business Management Training Industry Experts Designed this Business Management course into 13 detailed modules. Course Curriculum Business Management Level 7 Course Module 01: Introduction Module 02: Financial Resource and Investment Management Module 03: Succession Planning Module 04: Risk Management Module 05: Supply Chain Management Module 06: Human Resource Management Module 07: Leadership and Management Module 08: Change Management Module 09: Conflict Management Module 10: Project Management Module 11: Communication Techniques for Business Management Module 12: Entrepreneurship and Small Business Management Module 13: UK Business Law Assessment Method of Business Management - Level 7 Course After completing each module of the Business Management - Level 7 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 of Business Management - Level 7 Course After completing the MCQ/Assignment assessment for this Business Management - Level 7 Course, you will be entitled to a Certificate of Completion from Training Tale. Who is this course for? Business Management: Business Management Online Training Business Management - Level 7 course is highly recommended for: Entrepreneurs. Small business owners. Existing business professionals. Program Manager. Facility Manager. Program Administrator. Students Recent graduates. Requirements Business Management: Business Management Online Training Students who intend to enrol in this Business Management: Business Management - Level 7 course must meet the following requirements: Business Management: Good command of the English language Business Management: Must be vivacious and self-driven. Business Management: Basic computer knowledge Business Management: A minimum of 16 years of age is required. Career path Business Management: Business Management Online Training The Business Management Course is designed to give you the skills and knowledge you need to land your dream job, advance at work, go self-employed, or start your own business. Certificates Certificate of completion Digital certificate - Included

Duration 4 Days 24 CPD hours This course is intended for The workshop is designed for data scientists who currently use Python or R to work with smaller datasets on a single machine and who need to scale up their analyses and machine learning models to large datasets on distributed clusters. Data engineers and developers with some knowledge of data science and machine learning may also find this workshop useful. Overview Overview of data science and machine learning at scale Overview of the Hadoop ecosystem Working with HDFS data and Hive tables using Hue Introduction to Cloudera Data Science Workbench Overview of Apache Spark 2 Reading and writing data Inspecting data quality Cleansing and transforming data Summarizing and grouping data Combining, splitting, and reshaping data Exploring data Configuring, monitoring, and troubleshooting Spark applications Overview of machine learning in Spark MLlib Extracting, transforming, and selecting features Building and evaluating regression models Building and evaluating classification models Building and evaluating clustering models Cross-validating models and tuning hyperparameters Building machine learning pipelines Deploying machine learning models Spark, Spark SQL, and Spark MLlib PySpark and sparklyr Cloudera Data Science Workbench (CDSW) Hue This workshop covers data science and machine learning workflows at scale using Apache Spark 2 and other key components of the Hadoop ecosystem. The workshop emphasizes the use of data science and machine learning methods to address real-world business challenges. Using scenarios and datasets from a fictional technology company, students discover insights to support critical business decisions and develop data products to transform the business. The material is presented through a sequence of brief lectures, interactive demonstrations, extensive hands-on exercises, and discussions. The Apache Spark demonstrations and exercises are conducted in Python (with PySpark) and R (with sparklyr) using the Cloudera Data Science Workbench (CDSW) environment. The workshop is designed for data scientists who currently use Python or R to work with smaller datasets on a single machine and who need to scale up their analyses and machine learning models to large datasets on distributed clusters. Data engineers and developers with some knowledge of data science and machine learning may also find this workshop useful. Overview of data science and machine learning at scaleOverview of the Hadoop ecosystemWorking with HDFS data and Hive tables using HueIntroduction to Cloudera Data Science WorkbenchOverview of Apache Spark 2Reading and writing dataInspecting data qualityCleansing and transforming dataSummarizing and grouping dataCombining, splitting, and reshaping dataExploring dataConfiguring, monitoring, and troubleshooting Spark applicationsOverview of machine learning in Spark MLlibExtracting, transforming, and selecting featuresBuilding and evauating regression modelsBuilding and evaluating classification modelsBuilding and evaluating clustering modelsCross-validating models and tuning hyperparametersBuilding machine learning pipelinesDeploying machine learning models Additional course details: Nexus Humans Cloudera Data Scientist Training training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Cloudera Data Scientist Training course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 3 Days 18 CPD hours This course is intended for This course is aimed at anyone who wants to harness the power of data analytics in their organization including: Business Analysts, Data Analysts, Reporting and BI professionals Analytics professionals and Data Scientists who would like to learn Python Overview This course teaches delegates with no prior programming or data analytics experience how to perform data manipulation, data analysis and data visualization in Python. Mastery of these techniques and how to apply them to business problems will allow delegates to immediately add value in their workplace by extracting valuable insight from company data to allow better, data-driven decisions. Outcome: After attending this course, delegates will: Be able to write effective Python code Know how to access their data from a variety of sources using Python Know how to identify and fix data quality using Python Know how to manipulate data to create analysis ready data Know how to analyze and visualize data to drive data driven decisioning across your organization Becoming a world class data analytics practitioner requires mastery of the most sophisticated data analytics tools. These programming languages are some of the most powerful and flexible tools in the data analytics toolkit. From business questions to data analytics, and beyond For data analytics tasks to affect business decisions they must be driven by a business question. This section will formally outline how to move an analytics project through key phases of development from business question to business solution. Delegates will be able: to describe and understand the general analytics process. to describe and understand the different types of analytics can be used to derive data driven solutions to business to apply that knowledge to their business context Basic Python Programming Conventions This section will cover the basics of writing R programs. Topics covered will include: What is Python? Using Anaconda Writing Python programs Expressions and objects Functions and arguments Basic Python programming conventions Data Structures in Python This section will look at the basic data structures that Python uses and accessing data in Python. Topics covered will include: Vectors Arrays and matrices Factors Lists Data frames Loading .csv files into Python Connecting to External Data This section will look at loading data from other sources into Python. Topics covered will include: Loading .csv files into a pandas data frame Connecting to and loading data from a database into a panda data frame Data Manipulation in Python This section will look at how Python can be used to perform data manipulation operations to prepare datasets for analytics projects. Topics covered will include: Filtering data Deriving new fields Aggregating data Joining data sources Connecting to external data sources Descriptive Analytics and Basic Reporting in Python This section will explain how Python can be used to perform basic descriptive. Topics covered will include: Summary statistics Grouped summary statistics Using descriptive analytics to assess data quality Using descriptive analytics to created business report Using descriptive analytics to conduct exploratory analysis Statistical Analysis in Python This section will explain how Python can be used to created more interesting statistical analysis. Topics covered will include: Significance tests Correlation Linear regressions Using statistical output to create better business decisions. Data Visualisation in Python This section will explain how Python can be used to create effective charts and visualizations. Topics covered will include: Creating different chart types such as bar charts, box plots, histograms and line plots Formatting charts Best Practices Hints and Tips This section will go through some best practice considerations that should be adopted of you are applying Python in a business context.