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Understand how Docker works and learn its core features with this hands-on course. This is 90% practice without any useless demos! Learn how to create different containers such as Node.js, Python, WordPress, MongoDB, MySQL, Redis, Elasticsearch, and much more.

The course focuses on the five domains that should be known for the CompTIA PenTest+ PT0-002 exam. Learn to successfully plan and scope a pen test engagement with a client, find vulnerabilities, exploit them to get into a network, then report on those findings to the client with the help of this comprehensive course.

Overview This Deep Learning & Neural Networks Python - Keras: For Dummies course will unlock your full potential and will show you how to excel in a career in Deep Learning & Neural Networks Python - Keras: For Dummies. So upskill now and reach your full potential. Everything you need to get started in Deep Learning & Neural Networks Python - Keras: For Dummies is available in this course. Learning and progressing are the hallmarks of personal development. This Deep Learning & Neural Networks Python - Keras: For Dummies will quickly teach you the must-have skills needed to start in the relevant industry. In This Deep Learning & Neural Networks Python - Keras: For Dummies Course, You Will: Learn strategies to boost your workplace efficiency. Hone your Deep Learning & Neural Networks Python - Keras: For Dummies skills to help you advance your career. Acquire a comprehensive understanding of various Deep Learning & Neural Networks Python - Keras: For Dummies topics and tips from industry experts. Learn in-demand Deep Learning & Neural Networks Python - Keras: For Dummies skills that are in high demand among UK employers, which will help you to kickstart your career. This Deep Learning & Neural Networks Python - Keras: For Dummies course covers everything you must know to stand against the tough competition in the Deep Learning & Neural Networks Python - Keras: For Dummies field.  The future is truly yours to seize with this Deep Learning & Neural Networks Python - Keras: For Dummies. Enrol today and complete the course to achieve a Deep Learning & Neural Networks Python - Keras: For Dummies certificate that can change your professional career forever. Additional Perks of Buying a Course From Institute of Mental Health Study online - whenever and wherever you want. One-to-one support from a dedicated tutor throughout your course. Certificate immediately upon course completion 100% Money back guarantee Exclusive discounts on your next course purchase from Institute of Mental Health Enrolling in the Deep Learning & Neural Networks Python - Keras: For Dummies course can assist you in getting into your desired career quicker than you ever imagined. So without further ado, start now. Process of Evaluation After studying the Deep Learning & Neural Networks Python - Keras: For Dummies course, your skills and knowledge will be tested with a MCQ exam or assignment. You must get a score of 60% to pass the test and get your certificate.  Certificate of Achievement Upon successfully completing the Deep Learning & Neural Networks Python - Keras: For Dummies course, you will get your CPD accredited digital certificate immediately. And you can also claim the hardcopy certificate completely free of charge. All you have to do is pay a shipping charge of just £3.99. Who Is This Course for? This Deep Learning & Neural Networks Python - Keras: For Dummies is suitable for anyone aspiring to start a career in Deep Learning & Neural Networks Python - Keras: For Dummies; even if you are new to this and have no prior knowledge on Deep Learning & Neural Networks Python - Keras: For Dummies, this course is going to be very easy for you to understand.  And if you are already working in the Deep Learning & Neural Networks Python - Keras: For Dummies field, this course will be a great source of knowledge for you to improve your existing skills and take them to the next level.  Taking this Deep Learning & Neural Networks Python - Keras: For Dummies course is a win-win for you in all aspects.  This course has been developed with maximum flexibility and accessibility, making it ideal for people who don't have the time to devote to traditional education. Requirements This Deep Learning & Neural Networks Python - Keras: For Dummies course has no prerequisite.  You don't need any educational qualification or experience to enrol in the Deep Learning & Neural Networks Python - Keras: For Dummies course. Do note: you must be at least 16 years old to enrol. Any internet-connected device, such as a computer, tablet, or smartphone, can access this online Deep Learning & Neural Networks Python - Keras: For Dummies course. Moreover, this course allows you to learn at your own pace while developing transferable and marketable skills. 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

[vc_row][vc_column][vc_column_text] Description: Dialectical Behaviour Therapy ( DBT) is a form of cognitive psychotherapy, designed to treat people with borderline personality disorders and mental health illnesses. DBT is often used to treat individuals who self-harm, abuse drugs or have suicidal tendencies. If you're considering a career in counselling, then you may want to consider this dialectical behaviour therapy training course. The Dialectical Behaviour Therapy (DBT) Diploma Course is an exploration of DBT theory and an introduction to the role of a DBT therapist. To begin with, you will explore the strategies of the DBT approach and DBT treatments, including interpersonal effectiveness and mindfulness practices. You will then move onto how to use psychotherapy, and DBT counselling approaches for solving common psychological disorders such as depression, anxiety and OCD. Finally, you will study the benefits and limitations of the DBT approach. Throughout this course, you will develop essential problem-solving and clinical skills to help you with your career advancement to becoming a fully qualified DBT practitioner. Who is the course for? Anyone who wants to work as a therapist or use therapy in work Anyone who is interested in counselling or psychotherapy Anyone who wants to learn DBT approach Entry Requirement: This course is available to all learners, of all academic backgrounds. Learners should be aged 16 or over to undertake the qualification. Good understanding of English language, numeracy and ICT are required to attend this course. Assessment: At the end of the course, you will be required to sit an online multiple-choice test. Your test will be assessed automatically and immediately so that you will instantly know whether you have been successful. Before sitting for your final exam, you will have the opportunity to test your proficiency with a mock exam. Certification: After completing and passing the course successfully, you will be able to obtain an Accredited Certificate of Achievement. Certificates can be obtained either in hard copy at a cost of £39 or in PDF format at a cost of £24. Why choose us? Affordable, engaging & high-quality e-learning study materials; Tutorial videos/materials from the industry leading experts; Study in a user-friendly, advanced online learning platform; Efficient exam systems for the assessment and instant result; The UK & internationally recognised accredited qualification; Access to course content on mobile, tablet or desktop from anywhere anytime; The benefit of career advancement opportunities; 24/7 student support via email. Career Path: After completing this course you will be able to build up accurate knowledge and skills with proper confidence to enrich yourself and brighten up your career in the relevant job market.[/vc_column_text][/vc_column][/vc_row] Introduction About the Instructor FREE 00:02:00 About the Course 00:06:00 What is Counselling & Psychotherapy Definition of Counselling 00:07:00 Counselling & Psychotherapy 00:07:00 Approaches in Counselling & Psychotherapy 00:12:00 About Dialectical Behaviour Therapy (DBT) What is DBT? 00:05:00 What is 'dialectical'? 00:06:00 History & Philosophy of DBT 00:06:00 DBT Strategies & 'Life Skills' What is 'Mindfulness' 00:08:00 What is 'Distress Tolerance' 00:10:00 What is 'Emotion regulation' 00:11:00 What is 'Interpersonal Effectiveness' 00:06:00 Treatment by DBT Multistage approach of DBT 00:11:00 The Stages of Treatment in DBT 00:06:00 Prioritising Treatments Targets 00:05:00 How to set up 'learning environment' for the client 00:07:00 How to conduct 'Behavioural Analysis' 00:11:00 DBT for Psychological Disorders Uses of DBT 00:03:00 DBT in the treatment of Borderline Personality Disorder 00:07:00 DBT in the treatment of Depression 00:09:00 DBT for treatment of Anxiety & OCD 00:08:00 DBT for treatment of 'Eating Disorders' 00:08:00 Effectiveness of DBT How effective is DBT? 00:07:00 Criticism and Limitations of DBT 00:05:00 Thank You and Good Bye! 00:04:00 Mock Exam Mock Exam - Dialectical Behaviour Therapy (DBT) Diploma 00:20:00 Final Exam Final Exam - Dialectical Behaviour Therapy (DBT) Diploma 00:20:00 Certificate and Transcript Order Your Certificates and Transcripts 00:00:00

Overview of Dialectical Behaviour Therapy (DBT) Course Many people suffer from extreme emotional pain and often hurt themselves on purpose. DBT is designed to help people cope with their mental suffering and self-injurious behaviour.  This Dialectical Behaviour Therapy (DBT) Course will teach you the DBT therapy techniques to help people with borderline personality disorders and other mental conditions. Training with us, you'll understand mindfulness in DBT and how to incorporate mindfulness in clinical settings. In addition, the modules will explain how emotions work and introduce you to the most essential tools in emotion regulation. You'll also learn about different communication types in DBT and the DBT interventions where people learn to manage distress in a healthy way. Finally, you'll discover the application of DBT in treating diverse patient populations. Course Preview Learning Outcomes Identify the core components of DBT Determine the role of mindfulness in DBT Understand what are emotion regulation skills in DBT Realise how DBT can improve communication outcomes Learn about the ethical and professional considerations in DBT practice Why Take This Course From John Academy? Affordable, well-structured and high-quality e-learning study materials Meticulously crafted engaging and informative tutorial videos and materials Efficient exam systems for the assessment and instant result Earn UK & internationally recognised accredited qualification Easily access the course content on mobile, tablet, or desktop from anywhere, anytime Excellent career advancement opportunities Get 24/7 student support via email Who Should Take this Dialectical Behaviour Therapy (DBT) Course? Whether you're an existing practitioner or an aspiring professional, this course is an ideal training opportunity. It will elevate your expertise and boost your CV with key skills and a recognised qualification attesting to your knowledge. Are There Any Entry Requirements? This Dialectical Behaviour Therapy (DBT) Course is available to all learners of all academic backgrounds. But learners should be aged 16 or over to undertake the qualification. And a good understanding of the English language, numeracy, and ICT will be helpful. Certificate of Achievement After completing this course successfully, you will be able to obtain an Accredited Certificate of Achievement. Certificates & Transcripts can be obtained either in Hardcopy at £14.99 or in PDF format at £11.99. Career Path​ Dialectical Behaviour Therapy (DBT) Course provides essential skills that will make you more effective in your role. It would be beneficial for any related profession in the industry, such as: Dialectal Behaviour Therapist Mental Health Assistant Human Service Caseworker Module 1: Introduction to DBT Introduction to DBT 00:19:00 Module 2: Mindfulness Skills Training Mindfulness Skills Training 00:20:00 Module 3: Emotion Regulation Skills Emotion Regulation Skills 00:19:00 Module 4: Interpersonal Effectiveness Skills Interpersonal Effectiveness Skills 00:16:00 Module 5: Distress Tolerance Skills Distress Tolerance Skills 00:26:00 Module 6: Application of DBT in Specific Populations Application of DBT in Specific Populations 00:27:00 Module 7: Implementation of DBT in Clinical Settings Implementation of DBT in Clinical Settings 00:28:00 Module 8: Ethical and Professional Considerations in DBT Practice Ethical and Professional Considerations in DBT Practice 00:19:00 Certificate and Transcript Order Your Certificates and Transcripts 00:00:00

AI in Project Management: The Next Generation of Project Decision Making Project managers need to make critical project decisions on a daily basis. They are confronted with increasing complexities, high ambiguity and the need to process an exponentially growing amount of data and information in order to make informed and good decisions. This leads to an increasing risk of project failure - meanwhile, the project management industry is already challenged with ongoing low project success rates, caused by often massive failures of projects. Project Data Analytics and Artificial Intelligence (AI) are expected to fill the gap by providing analytical and unbiased capabilities that go beyond human possibilities, towards a data-driven and fact-based decision-making approach. While there is little doubt that AI as a trending technology will disrupt the project management practice and augment today's project management capabilities, AI cannot be seen as just another new tool to make project management more effective. Rather, AI will act as a complement to human intelligence, requiring a collaborative approach and, accordingly, a significant change in project culture and peoples' mindset. Today's project decisions are usually driven by human intuition, experience, leadership, and often do not follow any rational logic. Project decision-makers will be required to abandon such an approach and shift to a data-driven, decision-making approach. This session will provide an overview of the expected changes from AI-driven project management, the resulting impact on project decision making and changes in project culture, and what actions can be taken by project professionals to match their beliefs and behaviours with the new project culture. Learning goals: Gain insights into how AI for project management will significantly change decision-making in projects Gain an understanding of how to transition to a new AI-powered project culture

The world of Artificial Intelligence (AI) is rapidly expanding, with new breakthroughs and applications emerging every day. If you're looking to stay ahead of the curve, then look no further than our comprehensive course, "Learn AI with Python." Through a combination of engaging modules and real-world case studies, our course covers everything from the basics of AI to advanced techniques for detecting patterns and natural language processing. With a particular focus on Python programming language, learners will gain insights into Class Imbalance and Grid Search, Adaboost Regressor, Affinity Propagation Model, Gaussian Mixture Model, Logic Programming, Heuristic Search and more. Whether you're a beginner or an experienced programmer, our course will take you on a journey through the fascinating and ever-changing world of AI. By the end of the course, learners will be equipped with the knowledge and skills to create AI models and programs that can solve real-world problems. With our expert guidance and in-depth analysis, you'll gain the knowledge and confidence to make informed decisions and navigate the complex and dynamic world of AI. Don't miss out on this opportunity to enhance your skills and advance your career - enroll in "Learn AI with Python" today and join the ranks of successful AI programmers around the world. Learning Outcomes: Develop an understanding of the principles and practices of Artificial Intelligence (AI) Learn effective strategies for detecting patterns and natural language processing Develop analytical skills for creating AI models and programs Understand Python programming language and its applications in AI Be able to make informed decisions and navigate the complex and dynamic world of AI The "Learn AI with Python" course is designed to provide a comprehensive understanding of the principles and practices that underpin successful AI programming. Through engaging modules and real-world case studies, learners will gain insights into the basics of AI, advanced techniques for detecting patterns and natural language processing, and effective strategies for creating AI models and programs using Python programming language. By the end of the course, learners will be equipped with the knowledge and skills to make informed decisions and navigate the complex and dynamic world of AI. Whether you're a beginner or an experienced programmer, this course is a must-have for anyone interested in the world of AI. ⊱⊱ Learn AI with Python Course Curriculum Section 01: Introduction Section 02: Class Imbalance and Grid Search Section 03: Adaboost Regressor Section 04: Detecting patterns with Unsupervised Learning Section 05: Affinity Propagation Model Section 06: Clustering Quality Section 07: Gaussian Mixture Model Section 08: Classifiers Section 09: Logic Programming Section 10: Heuristic Search Section 11: Natural Language Processing How is the course assessed? Upon completing an online module, you will immediately be given access to a specifically crafted MCQ test. For each test, the pass mark will be set to 60%. Exam & Retakes: It is to inform our learners that the initial exam for this online course is provided at no additional cost. In the event of needing a retake, a nominal fee of £9.99 will be applicable. Certification Upon successful completion of the assessment procedure, learners can obtain their certification by placing an order and remitting a fee of __ GBP. £9 for PDF Certificate and £15 for the Hardcopy Certificate within the UK ( An additional £10 postal charge will be applicable for international delivery). CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Programmers looking to enhance their AI skills Business professionals interested in AI applications Computer science students interested in AI Entrepreneurs looking to incorporate AI into their products or services Anyone interested in gaining a comprehensive understanding of AI and its applications Requirements There are no formal entry requirements for the course, with enrollment open to anyone! Career path AI Programmer: £30,000 - £70,000 per year Data Scientist: £30,000 - £80,000 per year Machine Learning Engineer: £35,000 - £90,000 per year AI Researcher: £40,000 - £100,000 per year Software Developer: £25,000 - £70,000 per year Certificates Certificate of completion Digital certificate - £9 You can apply for a CPD Accredited PDF Certificate at the cost of £9. Certificate of completion Hard copy certificate - £15 Hard copy can be sent to you via post at the expense of £15.

The world of Artificial Intelligence (AI) is rapidly expanding, with new breakthroughs and applications emerging every day. If you're looking to stay ahead of the curve, then look no further than our comprehensive course, "Learn AI with Python." Through a combination of engaging modules and real-world case studies, our course covers everything from the basics of AI to advanced techniques for detecting patterns and natural language processing. With a particular focus on Python programming language, learners will gain insights into Class Imbalance and Grid Search, Adaboost Regressor, Affinity Propagation Model, Gaussian Mixture Model, Logic Programming, Heuristic Search and more. Whether you're a beginner or an experienced programmer, our course will take you on a journey through the fascinating and ever-changing world of AI. By the end of the course, learners will be equipped with the knowledge and skills to create AI models and programs that can solve real-world problems. With our expert guidance and in-depth analysis, you'll gain the knowledge and confidence to make informed decisions and navigate the complex and dynamic world of AI. Don't miss out on this opportunity to enhance your skills and advance your career - enroll in "Learn AI with Python" today and join the ranks of successful AI programmers around the world. Learning Outcomes: Develop an understanding of the principles and practices of Artificial Intelligence (AI) Learn effective strategies for detecting patterns and natural language processing Develop analytical skills for creating AI models and programs Understand Python programming language and its applications in AI Be able to make informed decisions and navigate the complex and dynamic world of AI The "Learn AI with Python" course is designed to provide a comprehensive understanding of the principles and practices that underpin successful AI programming. Through engaging modules and real-world case studies, learners will gain insights into the basics of AI, advanced techniques for detecting patterns and natural language processing, and effective strategies for creating AI models and programs using Python programming language. By the end of the course, learners will be equipped with the knowledge and skills to make informed decisions and navigate the complex and dynamic world of AI. Whether you're a beginner or an experienced programmer, this course is a must-have for anyone interested in the world of AI. ⊱⊱ Learn AI with Python Course Curriculum Section 01: Introduction Section 02: Class Imbalance and Grid Search Section 03: Adaboost Regressor Section 04: Detecting patterns with Unsupervised Learning Section 05: Affinity Propagation Model Section 06: Clustering Quality Section 07: Gaussian Mixture Model Section 08: Classifiers Section 09: Logic Programming Section 10: Heuristic Search Section 11: Natural Language Processing How is the course assessed? Upon completing an online module, you will immediately be given access to a specifically crafted MCQ test. For each test, the pass mark will be set to 60%. Exam & Retakes: It is to inform our learners that the initial exam for this online course is provided at no additional cost. In the event of needing a retake, a nominal fee of £9.99 will be applicable. Certification Upon successful completion of the assessment procedure, learners can obtain their certification by placing an order and remitting a fee of __ GBP. £9 for PDF Certificate and £15 for the Hardcopy Certificate within the UK ( An additional £10 postal charge will be applicable for international delivery). CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Programmers looking to enhance their AI skills Business professionals interested in AI applications Computer science students interested in AI Entrepreneurs looking to incorporate AI into their products or services Anyone interested in gaining a comprehensive understanding of AI and its applications Requirements There are no formal entry requirements for the course, with enrollment open to anyone! Career path AI Programmer: £30,000 - £70,000 per year Data Scientist: £30,000 - £80,000 per year Machine Learning Engineer: £35,000 - £90,000 per year AI Researcher: £40,000 - £100,000 per year Software Developer: £25,000 - £70,000 per year Certificates Certificate of completion Digital certificate - £9 You can apply for a CPD Accredited PDF Certificate at the cost of £9. Certificate of completion Hard copy certificate - £15 Hard copy can be sent to you via post at the expense of £15.

You will learn how to become a Python developer through this course.

Advance your Python skills with Level 2 Programming! From strings and operators to control flow and games, this course sharpens your coding prowess, culminating in a hands-on Python project. Ideal for those seeking to deepen their understanding and application of Python.