Getting Started Accounting and finance play a crucial role in various businesses, ranging from large corporations to small companies. Many business managers are involved in accounting functions, even though they may not have formal managerial training. In today's complex business environment, there is a high demand for professionals who can work collaboratively across organizational boundaries and with diverse teams. The OTHM Level 6 Diploma in Accounting and Business is designed to provide learners with the necessary knowledge and skills to take on middle or senior managerial positions within an organization. This encompasses responsibilities such as overseeing financial matters, managing investments, risk management, conducting audits and assurance, and engaging in research. Key Benefits Gain an understanding of financial management principles. Acquire the skills to identify, assess, and mitigate various business risks. Develop and implement strategic financial plans that align with the organization's goals. Enhance managerial skills. Cultivate the ability to collaborate effectively within diverse, cross-functional teams. Key Highlights If you're a practicing or aspiring financial manager looking to advance your career, then the Level 6 Diploma in Accounting and Business is the perfect starting point for your career development. We will ensure your access to first-class education needed to achieve your goals and dreams and to maximize future opportunities. Remember, the assessment for the qualification is based on assignments only, so you do not need to worry about taking any exams. With the School of Business and Technology London, you can complete the qualification at your own pace by choosing between online or blended learning from the comfort of your home. Learning materials, pathway materials, and study guides developed by our qualified tutors will be available around the clock in our cutting-edge learning management system. Most importantly, at the School of Business and Technology London, we will provide you with comprehensive tutor support through our dedicated support desk. If you opt for blended learning, you will also have the opportunity to enjoy live sessions with an assigned tutor, which you can book at your convenience. About Awarding Body OTHM is an established and recognised Awarding Organisation (Certification Body) launched in 2003. OTHM has already made a mark in the UK and global online education scenario by creating and maintaining a user-friendly and skill based learning environment. OTHM has both local and international recognition which aids OTHM graduates to enhance their employability skills as well as allowing them to join degree and/or Master top-up programmes. OTHM qualifications has assembled a reputation for maintaining significant skills in a wide range of job roles and industries which comprises Business Studies, Leadership, Tourism and Hospitality Management, Health and Social Care, Information Technology, Accounting and Finance, Logistics and Supply Chain Management. What is included? Outstanding tutor support that gives you supportive guidance all through the course accomplishment through the SBTL Support Desk Portal. Access our cutting-edge learning management platform to access vital learning resources and communicate with the support desk team. Quality learning materials such as structured lecture notes, study guides, and practical applications, which include real-world examples and case studies, will enable you to apply your knowledge. Learning materials are provided in one of the three formats: PDF, PowerPoint, or Interactive Text Content on the learning portal. The tutors will provide Formative assessment feedback to improve the learners' achievements. Assessment materials are accessible through our online learning platform. Supervision for all modules. Multiplatform accessibility through an online learning platform facilitates SBTL in providing learners with course materials directly through smartphones, laptops, tablets or desktops, allowing students to study at their convenience. Live Classes (for Blended Learning Students only) Assessment Internally assessed by the center and externally verified by OTHM. Assignment-based assessment. No exams. Entry Requirements Relevant NQF/QCF/RQF Level 5 diploma or an equivalent recognized qualification. Learners over 21 years with management experience. Learners must be 18 years or older at the beginning of the course. English requirements: Must provide evidence of English language competency for learners from non-English-speaking countries. Progression Relevant OTHM diploma qualifications at Level 7. This qualification is approved and regulated by Ofqual (Office of the Qualifications and Examinations Regulation). Therefore, learners are also eligible to pursue higher-level qualifications in their field. Why gain a OTHM Qualification? Quality, Standards and Recognitions- OTHM qualifications are approved and regulated by Ofqual (Office of the Qualifications and Examinations Regulation); hence, the learners can be very confident about the quality of the qualifications as well. Career Development to increase credibility with employers- All OTHM qualifications are developed to equip learners with the skills and knowledge every employer seeks. The learners pursuing an OTHM qualification will obtain an opportunity to enhance their knowledge and grow key competencies to tackle situations and work on projects more effectively, which will, in turn, give learners the potential to get promotions within the workplace. Alternatively, it allows them to progress onto an MBA top-up/Bachelor's degree / Master's degree programme around the World. Flexible study options- All OTHM qualifications have a credit value, which tells you how many credits are awarded when a unit is completed. The credit value will indicate how long it will normally take you to prepare for a unit or qualification. Three different types of qualification are: The award is achieved with 1 - 12 credits The certificate is completed with 13 - 36 credits The diploma is completed with at least 37 credits Learners must request before enrolment to interchange unit(s) other than the preselected units shown in the SBTL website because we need to make sure the availability of learning materials for the requested unit(s). SBTL will reject an application if the learning materials for the requested interchange unit(s) are unavailable. Learners are not allowed to make any request to interchange unit(s) once enrolment is complete. UNIT1- 1. Corporate and Business Law Reference No : L/617/4375 Credit : 20 || TQT : 200 The goal of this unit is to enhance learners' understanding of the fundamental principles of English Corporate and Business Law. This unit will enable learners to apply these concepts and principles in practical, real-life situations. UNIT2- 2. Business Performance Measurement Reference No : R/617/4376 Credit : 20 || TQT : 200 The primary objective of this unit is to foster a comprehensive understanding of performance management techniques in learners. They will have the opportunity to evaluate the systems used in both profit-driven and non-profit entities. Furthermore, learners will gain practical proficiency in reporting performance metrics and utilizing specialized cost and management accounting methods. UNIT3- 3. Financial Securities Markets Reference No : Y/617/4377 Credit : 20 || TQT : 200 The aim of this unit is to nurture learners' comprehension of investment theories, securities, and market analysis. Learners will also gain insight into the important laws and regulations that influence the financial services industry. UNIT4- 4. Audit and Assurance Reference No : D/617/4378 Credit : 20 || TQT : 200 The objective of this unit is to enhance learners' understanding of principles related to both internal and external auditing. Learners will examine the existing legal and professional mandates and assess the risks associated with the external auditing process. UNIT5- 5. Business Research Project Reference No : K/616/2735 Credit : 20 || TQT : 200 The purpose of this unit is to cultivate learners' research skills, which include formulating research questions, conducting independent research using appropriate methods, evaluating the research methodology employed, and effectively communicating their research findings. UNIT6- 6. Investment and Risk Management Reference No : H/617/4379 Credit : 20 || TQT : 200 The aim of this unit is to provide learners with an understanding of different trading and investment techniques and how they can be practically applied. In this unit, learners will also assess the risks associated with market trading and investment and examine strategies for risk reduction. Delivery Methods School of Business & Technology London provides various flexible delivery methods to its learners, including online learning and blended learning. Thus, learners can choose the mode of study as per their choice and convenience. The program is self-paced and accomplished through our cutting-edge Learning Management System. Learners can interact with tutors by messaging through the SBTL Support Desk Portal System to discuss the course materials, get guidance and assistance and request assessment feedbacks on assignments. We at SBTL offer outstanding support and infrastructure for both online and blended learning. We indeed pursue an innovative learning approach where traditional regular classroom-based learning is replaced by web-based learning and incredibly high support level. Learners enrolled at SBTL are allocated a dedicated tutor, whether online or blended learning, who provide learners with comprehensive guidance and support from start to finish. The significant difference between blended learning and online learning methods at SBTL is the Block Delivery of Online Live Sessions. Learners enrolled at SBTL on blended learning are offered a block delivery of online live sessions, which can be booked in advance on their convenience at additional cost. These live sessions are relevant to the learners' program of study and aim to enhance the student's comprehension of research, methodology and other essential study skills. We try to make these live sessions as communicating as possible by providing interactive activities and presentations. Resources and Support School of Business & Technology London is dedicated to offering excellent support on every step of your learning journey. School of Business & Technology London occupies a centralised tutor support desk portal. Our support team liaises with both tutors and learners to provide guidance, assessment feedback, and any other study support adequately and promptly. Once a learner raises a support request through the support desk portal (Be it for guidance, assessment feedback or any additional assistance), one of the support team members assign the relevant to request to an allocated tutor. As soon as the support receives a response from the allocated tutor, it will be made available to the learner in the portal. The support desk system is in place to assist the learners adequately and streamline all the support processes efficiently. Quality learning materials made by industry experts is a significant competitive edge of the School of Business & Technology London. Quality learning materials comprised of structured lecture notes, study guides, practical applications which includes real-world examples, and case studies that will enable you to apply your knowledge. Learning materials are provided in one of the three formats, such as PDF, PowerPoint, or Interactive Text Content on the learning portal. How does the Online Learning work at SBTL? We at SBTL follow a unique approach which differentiates us from other institutions. Indeed, we have taken distance education to a new phase where the support level is incredibly high.Now a days, convenience, flexibility and user-friendliness outweigh demands. Today, the transition from traditional classroom-based learning to online platforms is a significant result of these specifications. In this context, a crucial role played by online learning by leveraging the opportunities for convenience and easier access. It benefits the people who want to enhance their career, life and education in parallel streams. SBTL's simplified online learning facilitates an individual to progress towards the accomplishment of higher career growth without stress and dilemmas. How will you study online? With the School of Business & Technology London, you can study wherever you are. You finish your program with the utmost flexibility. You will be provided with comprehensive tutor support online through SBTL Support Desk portal. How will I get tutor support online? School of Business & Technology London occupies a centralised tutor support desk portal, through which our support team liaise with both tutors and learners to provide guidance, assessment feedback, and any other study support adequately and promptly. Once a learner raises a support request through the support desk portal (Be it for guidance, assessment feedback or any additional assistance), one of the support team members assign the relevant to request to an allocated tutor. As soon as the support receive a response from the allocated tutor, it will be made available to the learner in the portal. The support desk system is in place to assist the learners adequately and to streamline all the support process efficiently. Learners should expect to receive a response on queries like guidance and assistance within 1 - 2 working days. However, if the support request is for assessment feedback, learners will receive the reply with feedback as per the time frame outlined in the Assessment Feedback Policy.
Give a compliment to your career and take it to the next level. This Human Resources Management will provide you with the essential knowledge and skills required to shine in your professional career. Whether you want to develop skills for your next job or want to elevate skills for your next promotion, this course will help you keep ahead of the pack. The Human Resources Management incorporates basic to advanced level skills to shed some light on your way and boost your career. Hence, you can reinforce your professional skills and essential knowledge, reaching out to the level of expertise required for your position. Further, this course will add extra value to your resume to stand out to potential employers. Along with this course, you will get 10 other premium courses. Also, you will get an original Hardcopy and PDF certificate for the title course and a student ID card absolutely free. What other courses are included with this Human Resources Management? Course 1: HR And Recruitment Consultant Training - Level 4 Course 2: Virtual Interviewing for HR Course 3: Performance Management Course 4: Payroll Management - Diploma Course 5: UK Employment Law and Employee Rights Diploma Course 6: Leadership & Management Diploma Course 7: Effective Communication Skills Diploma Course 8: Conflict Management Course 9: GDPR Data Protection Level 5 Course 10: Level 2 Microsoft Office Essentials So, enrol now to advance your career! Benefits you'll get choosing Apex Learning for this Human Resources Management: One payment, but lifetime access to 11 CPD courses Certificate, student ID for the title course included in a one-time fee Full tutor support available from Monday to Friday Free up your time - don't waste time and money travelling for classes Accessible, informative modules taught by expert instructors Learn at your ease - anytime, from anywhere Study the course from your computer, tablet or mobile device CPD accredited course - improve the chance of gaining professional skills Gain valuable and in-demand skills without leaving your home. How will I get my Certificate? After successfully completing the course you will be able to order your CPD Accredited Certificates (PDF + Hard Copy) as proof of your achievement. PDF Certificate: Free (Previously it was £10 * 11 = £110) Hard Copy Certificate: Free (For The Title Course) P.S. The delivery charge inside the U.K. is £3.99 and the international students have to pay £9.99. Curriculum Course 1: HR Management Level 2 Introduction to Human Resources Employee Recruitment and Selection Procedure Employee Training and Development Process Performance Appraisal Management Employee Relations Motivation and Counselling Ensuring Health and Safety at the Workplace Employee Termination Employer Records and Statistics Essential UK Employment Law Course 2: HR And Recruitment Consultant Training - Level 4 Introduction to Recruitment: Importance and Implications An Overview of the Recruitment Industry The UK Recruitment Legislation Sales and Selling in the Recruitment Industry The Recruitment Process Key Performance Indicators for the Recruitment Industry Candidate Attraction for Recruitment Candidate Management Candidate Interview Processes Client Acquisition Client Strategy in the Recruitment Sector Course 3: Virtual Interviewing for HR An Introduction to Virtual Interviewing 2: Interviewer's Perspective 3: Interview Preparation 4: Picking a Tech to Use 5: Attract and Hire the Best Talents 6: Final Thoughts and Onboarding Course 4: Performance Management 01: Introduction 02: Performance 03: Key Performance Indicators 04: Reporting 05: Rewarding 06: Conclusion Course 5: Payroll Management - Diploma Sage 50 Payroll for Beginners 1: Payroll Basics 2: Company Settings 3: Legislation Settings 4: Pension Scheme Basics 5: Pay Elements 6: The Processing Date 7: Adding Existing Employees 8: Adding New Employees Sage 50 Payroll Intermediate Level 1: The Outline View and Criteria 2: Global Changes 3: Timesheets 4: Departments and Analysis 5: Holiday Schemes 6: Recording Holidays 7: Absence Reasons 8: Statutory Sick Pay Course 6: UK Employment Law and Employee Rights Diploma Module 01: Basic of Employment Law Module 02: Legal Recruitment Process Module 03: Employment Contracts Module 04: Employee Handbook Module 05: Disciplinary Procedure Module 06: National Minimum Wage & National Living Wage Module 07: Parental Right, Sick Pay & Pension Scheme Module 08: Discrimination in the Workplace Module 09: Health & Safety at Work Module 10: Dismissal, Grievances and Employment Tribunals Module 11: Workplace Monitoring & Data Protectionl Course 7: Preventing Workplace Violence and Harassment Level 3 Workplace Management: Violence Workplace Management: Harassment Course 8: Effective Communication Skills Diploma 01: Business Communication 02: Verbal and Non-verbal Communication 03: Written Communication 04: Electronic Communication 05: Communicating with Graphic 06: Effectively Working for Your Boss Course 9: Conflict Management 01: Introduction 02: Understand the Keys to Conflict 03: How Misunderstandings Arise and the Solution 04: Personality Types in Conflict 05: Escalation of Conflict 06: De-escalating Conflict 07: Closing Section Course 10: GDPR Data Protection Level 5 01: GDPR Basics 02: GDPR Explained 03: Lawful Basis for Preparation 04: Rights and Breaches 05: Responsibilities and Obligations Course 11: Level 2 Microsoft Office Essentials Excel 2016 Word 2016 PowerPoint 2016 Access 2016 CPD 115 CPD hours / points Accredited by CPD Quality Standards Career path Having these various certifications will increase the value in your CV and open you up to multiple job sectors. Certificates Certificate of completion Digital certificate - Included
Explore the dynamic realm of Industrial-Organizational Psychology with our in-depth study course. Delve into individual differences, job analysis, training, motivation, leadership, and more. Equip yourself with practical insights to enhance workplace effectiveness and foster positive organizational change. Join us for a transformative journey in understanding and applying the principles of I-O Psychology.
The course will familiarize students with industry history, the distribution chain, jobs in the industry, safe practices, and national codes and standards. Students will explore the different types of collectors, systems, components, and materials used in solar heating systems and determine their appropriate applications. The course will also examine the techniques and tools used for installing solar heating equipment. Finally, students will learn how to conduct site assessments, analyze hot water loads, develop accurate system sizing and project cost estimates, and identify the economic and non-economic benefits of a solar heating system. Students who complete the SHOL101 course will be able to perform the following: Differentiate between various renewable energy sources and types of systems Perform calculations as needed for system sizing and other exercises. Evaluate the different types of SH systems and their suitability for specific climates. Describe solar energy and applications for solar heating systems. Identify components specific to various types of solar water heating and solar pool heating systems. List the applications, operation, and functionality of the following SH systems - solar pool heating, ICS, thermosyphon, direct forced circulation, drainback, and antifreeze. Obtain specifications for various solar collectors and determine collector performance given various environmental and operating conditions. Identify various types of tools used in the SH industry and explain how to use them safely. Determine the magnetic declination, define azimuth and altitude angle and evaluate the shade potential for a given site. Estimate energy production of a SH system based on location specifics including orientation and tilt angle. Describe methods of attaching mounting hardware to a collector. Evaluate what type of solar heating system is most appropriate based on specific site criteria. Identify appropriate codes and standards concerning the installation, operation, and maintenance of SWH systems. Identify potential safety hazards and the proper personal protective equipment for working on solar heating systems.
The Microsoft Office Specialist is a globally recognised qualification. Having a Microsoft Office Specialist certification on your CV demonstrates that you have gained the necessary expertise to competently use Microsoft applications, giving you a competitive advantage when job hunting as well as in the workplace. It will significantly increase your confidence, skills and employability. It will serve to objectively validate your IT skills and assist in your advancement in your chosen career.
About this training course This 3-days training will provide a comprehensive review of integrity of wells exposed to carbon dioxide (CO2) in the context of Carbon Capture Utilization for enhanced oil recovery and Storage (CCUS). CO2 geological storage is a proven technology to reduce greenhouse gas emissions from sources such as coal power plants, cement kilns and steel mills. Wells are widely considered the most critical containment element, especially older wells that are not used to inject CO2 or monitor the plume evolution in the storage reservoir. The main reason for this perceived risk is the high corrosion rate of carbon steel when exposed to wet CO2, and the tendency of Portland cement to react with the gas. The training course advanced contents build on 15 years' experience in carbon storage, both in the development and deployment of technologies. First-hand, in-depth knowledge of the subject will allow us to debunk myths and focus on the real challenges of wells encountering CO2. Training Objectives After the completion of this training course, participants will be able to: Explain the CCUS market drivers Examine the behavior of CO2, on surface and in the reservoir Diagnose cement defects and design repairs Understand the limits of Portland cement Assess the benefits of different technologies and materials Realize why geology is a dominant factor in cement performance Critically choose the most appropriate monitoring techniques Classify aging processes of cement, steel, and rock when exposed to CO2 Assess the risk of existing wells if they encounter the CO2 plume Examine recent advances in real-time approaches to the production monitoring and lift management Target Audience This training course is suitable and will greatly benefit: All surface technical personnel such as process engineers & technologists Facility engineers, production engineers & technologists Drilling engineers and Well engineers Design engineers and Integrity engineers P&A engineers and Cementing engineers Geologists Senior management executives will benefit from this training as covers an overview of the technical and commercial details of CO2 capture technologies and risks involved. Course Level Intermediate Training Methods The training instructor relies on a highly interactive training method to enhance the learning process. This method ensures that all participants gain a complete understanding of all the topics covered. The training environment is highly stimulating, challenging, and effective because the participants will learn by case studies which will allow them to apply the material taught in their own organization. Course Duration: 3 days in total (21 hours). Training Schedule 0830 - Registration 0900 - Start of training 1030 - Morning Break 1045 - Training recommences 1230 - Lunch Break 1330 - Training recommences 1515 - Evening break 1530 - Training recommences 1700 - End of Training The maximum number of participants allowed for this training course is 20. This course is also available through our Virtual Instructor Led Training (VILT) format. Trainer Your expert course leader is an engineer with a passion for well integrity and possesses 28 years of international experience in field operations, technology development and management in the oil & gas and carbon storage sectors. Since 2018 he is program chair of the Well Integrity Technical Section of the Society of Petroleum Engineers (SPE). He is also author or co-author of 31 technical papers, a book chapter on CO2 geological storage and 7 patent applications. He delivers training on well integrity, plug and abandonment, asset integrity, risk management and QHSE across the Eastern Hemisphere, and carries out active research on harnessing geological barriers, modeling leaks through cement, and quantifying methane emissions from oil & gas wells. He has extensive expertise in: Well integrity, cementing, corrosion, upstream oil & gas (drilling, completion), carbon capture and storage, mathematical modeling, risk management, reliability, HSSE (health/safety/security/environment), asset integrity, management systems, sustainable development, project management, portfolio management, training, and technology development and innovation. He has personally worked on CCS projects in Europe (France, Germany, Netherlands, Norway), Algeria, Japan and USA. Partial list of companies that have benefited from the trainer's expertise: Vermilion Energy Geostock Aker BP Shell Statoil ENI TNO Geogreen Wintershall Archer INA and many more Recent CCS consulting track record: Schlumberger Total Oxand TNO THREE60 Energy and others POST TRAINING COACHING SUPPORT (OPTIONAL) To further optimise your learning experience from our courses, we also offer individualized 'One to One' coaching support for 2 hours post training. We can help improve your competence in your chosen area of interest, based on your learning needs and available hours. This is a great opportunity to improve your capability and confidence in a particular area of expertise. It will be delivered over a secure video conference call by one of our senior trainers. They will work with you to create a tailor-made coaching program that will help you achieve your goals faster. Request for further information post training support and fees applicable
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
Get Hard Copy + PDF Certificates + Transcript + Student ID Card worth £160 as a Gift-Enrol Now Give a compliment to your career and take it to the next level. This Manager Management Training Coursewill provide you with the essential knowledge and skills required to shine in your professional career. Whether you want to develop skills for your next job or want to elevate skills for your next promotion, this Manager Management Training Coursewill help you keep ahead of the pack. The Manager Management Training Course incorporates basic to advanced level skills to shed some light on your way and boost your career. Hence, you can reinforce your professional skills and knowledge, reaching out to the level of expertise required for your position. Further, this Manager Management Training Coursewill add extra value to your resume to stand out to potential employers. Along with this Manager Management Training Course, you will get 10 other premium courses. Also, you will get an original Hardcopy and PDF certificate for the title course and a student ID card absolutely free. Courses are included in this Manager Management Training Bundle: Course 1: Management for Managers Course 2: Managerial Accounting Masterclass Course 3: Level 3- Project Management Course 4: Resourcing and Managing Talent Course Course 5: Employment Law Level 3 Course 6: Contract Manager Diploma Course 7: People Management Skills Level 3 Course 8: Performance Management Course 9: Compliance & Business Risk Management Course 10: Level 2 Microsoft Office Essentials Course 11: Sexual Harassment Awareness Training So, enrol now in this Manager Management Training Course to advance your career! Manager Management Training Course You'll discover how to master the Manager skill while exploring relevant and essential topics. Course 1: Management for Managers Understanding Management and Leadership Leadership Theories Improving Management and Leadership Performance High-Performance Teams Motivating Employees Organisational Skills Talent Management Succession Planning Business Process Management Communication Skills Negotiation Techniques Managing Meetings and Giving Feedback Managing Change Time Management Stress Management Emotional Intelligence in Leadership Managing Conflict Dealing with Office Politics Risk Management Corporate Responsibility and Ethics Microsoft Word, Excel, PowerPoint How will I get my Certificate? After successfully completing the course you will be able to order your CPD Accredited Certificates (PDF + Hard Copy) as proof of your achievement. PDF Certificate: Free (Previously it was £6*11 = £66) Hard Copy Certificate: Free (For The Title Course: Previously it was £10) CPD 125 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Anyone from any background can enrol in this Manager bundle. Requirements This Manager course has been designed to be fully compatible with tablets and smartphones. Career path Having this expertise will increase the value of your CV and open you up to multiple job sectors. Certificates Certificate of completion Hard copy certificate - Included You will get the Hard Copy certificate for the title course (Management for Managers) absolutely Free! Other Hard Copy certificates are available for £10 each. Please Note: The delivery charge inside the UK is £3.99, and the international students must pay a £9.99 shipping cost. Certificate of completion Digital certificate - Included
In this self-paced course, you will learn how to use TensorFlow 2 to build convolutional neural networks (CNNs). You will learn how to apply CNNs to several practical image recognition datasets and learn about techniques that help improve performance, such as batch normalization, data augmentation, and transfer learning.