491 Media courses in Cardiff delivered Live Online

Course Duration: Half-day or full-day (can also be delivered as a 3-part virtual workshop series) Target Audience: Professionals in non-technical roles (e.g. executive assistants, HR, marketing, project managers, operations staff, trainers, and admin support) who want to use generative AI to enhance their work—without needing coding skills. Course Objectives By the end of this course, participants will be able to: Understand what generative AI is and how it works in plain language. Identify use cases relevant to their role or industry. Use popular generative AI tools (like ChatGPT, Gemini, and Copilot) confidently. Write effective prompts to get better, more relevant results. Apply AI ethically and responsibly in the workplace. Course Outline Module 1: Demystifying Generative AI What is generative AI? (Plain language explanation) How AI models like ChatGPT, Copilot, and Gemini work Examples of what generative AI can (and can’t) do Myths, risks, and benefits of AI in non-tech roles Module 2: Everyday Use Cases for Professionals Time-saving applications: Drafting emails, reports, meeting summaries Creating checklists, plans, or SOPs Enhancing creativity: Brainstorming ideas for events, campaigns, or training Writing social media posts, newsletters, or job ads Organising information: Summarising documents Structuring spreadsheets or creating templates Supporting communication: Improving tone and clarity Translating or simplifying content Module 3: Prompting Essentials What is a “prompt” and why does it matter? How to write clear, specific, and effective prompts Prompting frameworks (e.g., “Role–Task–Goal” method) Live practice: transforming a vague prompt into a powerful one Troubleshooting: when AI gives poor answers and how to improve them Module 4: Hands-On Exploration Try-it-yourself exercises using ChatGPT or Gemini (guided) Real workplace examples and team challenges Create an AI-generated email, checklist, or idea list Optional: use industry-specific examples (e.g., HR, admin, events, comms) Module 5: Responsible AI Use at Work Understanding AI limitations and biases Protecting privacy and sensitive data When not to use AI Workplace policies and guidelines (customisable for your organisation) Ethical use: attribution, transparency, and human review Module 6: Getting Started in Your Role Tools overview: free vs paid options (ChatGPT, Microsoft Copilot, Gemini) Building your own AI toolkit Tips for staying up to date as tools evolve 30-day challenge: how to build AI into your daily workflow Delivery Style Highly interactive, practical, and low-jargon No coding or tech background required Hands-on demos, guided practice, and scenario-based activities Group discussion and peer learning Course Materials Provided Quick-start guide: Top 10 prompts for non-tech roles AI Prompt Library for your job type Do’s and Don’ts for ethical use of AI at work “AI in Action” workbook with examples and checklists Personal AI Action Plan Optional Add-ons Team-based AI hackathon (mini workplace challenge) Tailored follow-up webinar for Q&A and deeper use cases Co-branded playbook for organisational AI use Integration with digital transformation or innovation initiatives

Course Duration: Half-day or full-day (can also be delivered as a 3-part virtual workshop series) Target Audience: Professionals in non-technical roles (e.g. executive assistants, HR, marketing, project managers, operations staff, trainers, and admin support) who want to use generative AI to enhance their work—without needing coding skills. Course Objectives By the end of this course, participants will be able to: Understand what generative AI is and how it works in plain language. Identify use cases relevant to their role or industry. Use popular generative AI tools (like ChatGPT, Gemini, and Copilot) confidently. Write effective prompts to get better, more relevant results. Apply AI ethically and responsibly in the workplace. Course Outline Module 1: Demystifying Generative AI What is generative AI? (Plain language explanation) How AI models like ChatGPT, Copilot, and Gemini work Examples of what generative AI can (and can’t) do Myths, risks, and benefits of AI in non-tech roles Module 2: Everyday Use Cases for Professionals Time-saving applications: Drafting emails, reports, meeting summaries Creating checklists, plans, or SOPs Enhancing creativity: Brainstorming ideas for events, campaigns, or training Writing social media posts, newsletters, or job ads Organising information: Summarising documents Structuring spreadsheets or creating templates Supporting communication: Improving tone and clarity Translating or simplifying content Module 3: Prompting Essentials What is a “prompt” and why does it matter? How to write clear, specific, and effective prompts Prompting frameworks (e.g., “Role–Task–Goal” method) Live practice: transforming a vague prompt into a powerful one Troubleshooting: when AI gives poor answers and how to improve them Module 4: Hands-On Exploration Try-it-yourself exercises using ChatGPT or Gemini (guided) Real workplace examples and team challenges Create an AI-generated email, checklist, or idea list Optional: use industry-specific examples (e.g., HR, admin, events, comms) Module 5: Responsible AI Use at Work Understanding AI limitations and biases Protecting privacy and sensitive data When not to use AI Workplace policies and guidelines (customisable for your organisation) Ethical use: attribution, transparency, and human review Module 6: Getting Started in Your Role Tools overview: free vs paid options (ChatGPT, Microsoft Copilot, Gemini) Building your own AI toolkit Tips for staying up to date as tools evolve 30-day challenge: how to build AI into your daily workflow Delivery Style Highly interactive, practical, and low-jargon No coding or tech background required Hands-on demos, guided practice, and scenario-based activities Group discussion and peer learning Course Materials Provided Quick-start guide: Top 10 prompts for non-tech roles AI Prompt Library for your job type Do’s and Don’ts for ethical use of AI at work “AI in Action” workbook with examples and checklists Personal AI Action Plan Optional Add-ons Team-based AI hackathon (mini workplace challenge) Tailored follow-up webinar for Q&A and deeper use cases Co-branded playbook for organisational AI use Integration with digital transformation or innovation initiatives

Course Duration: Half-day or full-day (can also be delivered as a 3-part virtual workshop series) Target Audience: Professionals in non-technical roles (e.g. executive assistants, HR, marketing, project managers, operations staff, trainers, and admin support) who want to use generative AI to enhance their work—without needing coding skills. Course Objectives By the end of this course, participants will be able to: Understand what generative AI is and how it works in plain language. Identify use cases relevant to their role or industry. Use popular generative AI tools (like ChatGPT, Gemini, and Copilot) confidently. Write effective prompts to get better, more relevant results. Apply AI ethically and responsibly in the workplace. Course Outline Module 1: Demystifying Generative AI What is generative AI? (Plain language explanation) How AI models like ChatGPT, Copilot, and Gemini work Examples of what generative AI can (and can’t) do Myths, risks, and benefits of AI in non-tech roles Module 2: Everyday Use Cases for Professionals Time-saving applications: Drafting emails, reports, meeting summaries Creating checklists, plans, or SOPs Enhancing creativity: Brainstorming ideas for events, campaigns, or training Writing social media posts, newsletters, or job ads Organising information: Summarising documents Structuring spreadsheets or creating templates Supporting communication: Improving tone and clarity Translating or simplifying content Module 3: Prompting Essentials What is a “prompt” and why does it matter? How to write clear, specific, and effective prompts Prompting frameworks (e.g., “Role–Task–Goal” method) Live practice: transforming a vague prompt into a powerful one Troubleshooting: when AI gives poor answers and how to improve them Module 4: Hands-On Exploration Try-it-yourself exercises using ChatGPT or Gemini (guided) Real workplace examples and team challenges Create an AI-generated email, checklist, or idea list Optional: use industry-specific examples (e.g., HR, admin, events, comms) Module 5: Responsible AI Use at Work Understanding AI limitations and biases Protecting privacy and sensitive data When not to use AI Workplace policies and guidelines (customisable for your organisation) Ethical use: attribution, transparency, and human review Module 6: Getting Started in Your Role Tools overview: free vs paid options (ChatGPT, Microsoft Copilot, Gemini) Building your own AI toolkit Tips for staying up to date as tools evolve 30-day challenge: how to build AI into your daily workflow Delivery Style Highly interactive, practical, and low-jargon No coding or tech background required Hands-on demos, guided practice, and scenario-based activities Group discussion and peer learning Course Materials Provided Quick-start guide: Top 10 prompts for non-tech roles AI Prompt Library for your job type Do’s and Don’ts for ethical use of AI at work “AI in Action” workbook with examples and checklists Personal AI Action Plan Optional Add-ons Team-based AI hackathon (mini workplace challenge) Tailored follow-up webinar for Q&A and deeper use cases Co-branded playbook for organisational AI use Integration with digital transformation or innovation initiatives

Conflict Resolution and Mediation in International Relations Course Overview This course, "Conflict Resolution and Mediation in International Relations," offers an in-depth exploration of the complexities of global conflicts and the mechanisms used to resolve them. Students will gain a thorough understanding of the theories, practices, and institutions that play a key role in mediation and conflict management within the context of international relations. Emphasising the practical application of conflict resolution, the course explores contemporary case studies, providing learners with the essential skills to engage in diplomatic negotiations. By the end of the course, participants will be equipped to navigate the intricate dynamics of international diplomacy and contribute meaningfully to peace-building efforts globally. Course Description "Conflict Resolution and Mediation in International Relations" delves into the foundational theories and methods that underpin the field of conflict resolution within the international sphere. Key topics include the historical context of international conflicts, the roles of global actors, and an analysis of the major theories of international relations, such as realism, liberalism, and constructivism. Students will explore contemporary challenges such as global economic tensions, regional conflicts, and the role of international organisations in peace-building. This course is designed to offer learners a comprehensive understanding of conflict dynamics and the strategies for resolution, equipping them with essential diplomatic, negotiation, and analytical skills. Learners will emerge with the capability to analyse complex international issues and formulate effective strategies for conflict resolution in the global context. Conflict Resolution and Mediation in International Relations Curriculum Module 01: Understanding International Relations Module 02: Historical Context Module 03: Actors in International Relations Module 04: Theories in International Relations I: Realism and Liberalism Module 05: Theories in International Relations II: The Marxist, The Constructivist and The Feminist Tradition Module 06: International Political Economy Module 07: Recent Issues in International Relations Module 08: War Module 09: International Organisation (See full curriculum) Who is this course for? Individuals seeking to understand the dynamics of global conflict and its resolution. Professionals aiming to enhance their career in international diplomacy or global governance. Beginners with an interest in international relations and global issues. Students considering careers in international organisations or conflict resolution. Career Path Diplomat International Relations Consultant Conflict Resolution Specialist Political Analyst Foreign Affairs Advisor International Development Officer United Nations/NGO Specialist

Workplace Mediation

Course Overview This Sexual Harassment Awareness Training is designed to equip individuals with the knowledge and skills to recognise, address, and prevent sexual harassment in the workplace. Covering key concepts, legal frameworks, and organisational responsibilities, the course provides essential insights into maintaining a respectful and safe work environment. Participants will gain a thorough understanding of what constitutes sexual harassment, how to identify it, and how to manage such situations effectively. By completing this course, learners will be better prepared to contribute to a respectful and legally compliant workplace culture. Course Description This course delves into various aspects of sexual harassment, from definitions to workplace implications, and legal frameworks. It covers the different forms of harassment, employee rights, and employer obligations. Learners will explore how to effectively address and prevent incidents of harassment, ensuring worker protection through robust policies and procedures. The course also covers the process of dealing with incidents, including mediation and the aftermath, helping individuals recognise the importance of fostering a safe, respectful work environment. Upon completion, learners will have the skills to proactively contribute to creating a harassment-free workplace. Course Modules Module 01: What is Sexual Harassment? Module 02: Sexual Harassment in the Workplace Module 03: The Law and Sexual Harassment Module 04: Addressing Sexual Harassment Module 05: Worker Protection Module 06: Prevent Sexual Harassment at Work Module 07: Policies and Procedures Module 08: How to Deal with Sexual Harassment in the Workplace? Module 09: Mediation and the Aftermath (See full curriculum) Who is this course for? Individuals seeking to understand workplace dynamics and employee rights. Professionals aiming to enhance their knowledge of workplace law and ethical practices. Beginners with an interest in workplace relations and human resources. Any other individual interested in fostering a respectful workplace environment. Career Path HR Manager Equality and Diversity Officer Workplace Health and Safety Specialist Legal Advisor (Employment Law) Corporate Trainer or Consultant

Listening Course - The Power of Listening Course Overview The "Listening Course - The Power of Listening" equips learners with essential listening skills, enabling them to effectively engage in conversations and enhance communication. By exploring various listening techniques and understanding the difference between active and passive listening, this course helps individuals sharpen their ability to listen attentively. It will empower learners to build stronger relationships, improve professional communication, and foster a more understanding environment. Upon completion, participants will have developed advanced listening abilities that will enhance both personal and professional interactions. Course Description In this comprehensive course, learners will delve into the different types of listening and explore the distinct approaches of active versus passive listening. Through examining key listening techniques, they will discover ways to improve their skills and recognise the difference between simply hearing and truly listening. Learners will also gain an understanding of the benefits of strong listening skills, such as enhanced decision-making and improved relationships. This course will provide learners with valuable insights into refining their communication, both in everyday conversations and in professional settings, making them more effective listeners. Listening Course - The Power of Listening Curriculum Module 01: Introduction Module 02: Lead Generation with Attraction Marketing for Business Module 03: Types of Listening Module 04: Difference Between Active and Passive Listening Module 05: Difference Between Listening and Hearing Module 06: Ways to Improve Your Listening Skills Module 07: What are Good Listening Skills Module 08: Benefits of Good Listening Skills Module 09: Conclusion (See full curriculum) Who is this course for? Individuals seeking to improve their communication skills. Professionals aiming to enhance their leadership and interpersonal abilities. Beginners with an interest in developing effective listening techniques. Anyone wanting to build stronger relationships through better communication. Career Path Customer Service Representative HR Professional Communications Specialist Sales and Marketing Expert Leadership and Management Roles Mediation and Conflict Resolution Specialist

Listening Masterclass Course Overview: The "Listening Masterclass" is designed to enhance learners' listening abilities, focusing on effective communication and comprehension. This course delves into the key components of listening, exploring the difference between hearing and listening, as well as the nuances of active and passive listening. It highlights various listening types and offers techniques to improve listening skills. Upon completion, learners will be able to engage in more focused and empathetic conversations, benefiting both their personal and professional relationships. This course is ideal for those who wish to refine their communication abilities, develop stronger listening techniques, and understand the power of listening in various contexts. Course Description: This course provides a deep dive into the fundamentals of listening, including the distinction between hearing and listening, and the differences between active and passive listening. Learners will explore various types of listening, from empathetic to critical listening, and how each plays a role in communication. The course also covers practical strategies for enhancing listening skills, such as mindfulness techniques and the importance of body language. Learners will gain a comprehensive understanding of the benefits of listening, including improved personal interactions, better professional relationships, and enhanced problem-solving capabilities. By the end of the course, participants will be able to apply effective listening strategies in diverse situations, from the workplace to social interactions, resulting in stronger connections and more effective communication. Listening Masterclass Curriculum: Module 01: What are Good Listening Skills? Module 02: Difference between Active and Passive Listening Module 03: Difference between Listening and Hearing Module 04: Ways to Improve Your Listening Skills Module 05: Types of Listening Module 06: Benefits of Good Listening Skills Module 07: Conclusion (See full curriculum) Who is this course for? Individuals seeking to improve their communication skills. Professionals aiming to enhance their ability to engage with others effectively. Beginners with an interest in refining their listening abilities. Anyone looking to foster stronger personal and professional relationships. Career Path Customer Service Representative Human Resources Professional Sales and Marketing Specialist Public Relations Officer Educational Instructor or Trainer Mediator or Conflict Resolution Specialist Healthcare Provider (e.g., Nurses, Therapists)

Duration 5 Days 30 CPD hours This course is intended for This course is intended for individuals who want to learn how to program Android applications using the Java Programming Language. Overview Upon successful completion of this course, students will have an understanding of basic application Android development. This course will teach the basics of Android Development using the Java Programming Language and Android Studio. Introduction and Setup Android Studio Development Essentials Introduction Setting up an Android Studio Development Environment Creating an Example Android App in Android Studio A Tour of the Android Studio User Interface Creating an Android Virtual Device (AVD) in Android Studio Using and Configuring the Android Studio AVD Emulator Testing Android Studio Apps on a Physical Android Device The Basics of the Android Studio Code Editor Android Architecture and State Changes An Overview of the Android Architecture The Anatomy of an Android Application Understanding Android Application and Activity Lifecycles Handling Android Activity State Changes Android Activity State Changes by Example Saving and Restoring the State of an Android Activity Views and Layouts Understanding Android Views, View Groups and Layouts in Android Studio A Guide to the Android Studio Layout Editor Tool A Guide to the Android ConstraintLayout A Guide to using ConstraintLayout in Android Studio An Android Studio Layout Editor ConstraintLayout Tutorial Manual XML Layout Design in Android Studio Creating an Android User Interface in Java Code Event Handling An Overview and Example of Android Event Handling A Guide to using Instant Run in Android Studio Android Touch and Multi-touch Event Handling Detecting Common Gestures using Android Studio and the Gesture Detector Class Implementing Custom Gesture and Pinch Recognition on Android Advanced Layout and Transitions An Introduction Android Fragments Using Fragments in Android Studio - An Example Creating and Managing Overflow Menus on Android Animating User Interfaces with the Android Transitions Framework An Android Transition Tutorial using beginDelayedTransition Implementing Android Scene Transitions ? A Tutorial Working with the Floating Action Button and Snackbar Creating a Tabbed Interface using the TabLayout Component Working with the RecyclerView and CardView Widgets An Android RecyclerView and CardView Tutorial Working with the AppBar and Collapsing Toolbar Layouts Implementing an Android Navigation Drawer An Android Studio Master/Detail Flow Tutorial Intents, Threads, Services, and Notifications An Overview of Android Intents Android Explicit Intents ? A Worked Example Android Implicit Intents ? A Worked Example Android Broadcast Intents and Broadcast Receivers A Basic Overview of Threads and Thread Handlers An Overview of Android Started and Bound Services Implementing an Android Started Service - A Worked Example Android Local Bound Services - A Worked Example Android Remote Bound Services - A Worked Example An Android 7 Notifications Tutorial An Android 7 Direct Reply Notification Tutorial Data Access and Storage Integrating Firebase Support into an Android Studio Project An Android 7 Firebase Remote Notification Tutorial An Introduction to Android 7 Multi-Window Support An Android Studio Multi-Window Split-Screen and Freeform Tutorial An Overview of Android SQLite Databases in Android Studio An Android TableLayout and TableRow Tutorial An Android SQLite Database Tutorial Understanding Android Content Providers Implementing an Android Studio Content Provider in Android Studio Accessing Cloud Storage using the Android Storage Access Framework An Android Storage Access Framework Example Multimedia, Maps and Printing Video Playback on Android VideoView and MediaController Classes Video Recording and Image Capture using Camera Intents Making Runtime Permission Requests in Android Android Audio Recording and Playback using MediaPlayer and MediaRecorder Working with the Google Maps Android API in Android Studio Printing with the Android Printing Framework An Android HTML and Web Content Printing Example A Guide to Android Custom Document Printing Final Build An Android Fingerprint Authentication Tutorial Handling Different Android Devices and Displays Signing and Preparing an Android Application for Release Integrating Google Play In-app Billing into an Android Application An Overview of Gradle in Android Studio An Android Studio Gradle Build Variants Example Additional course details: Nexus Humans Android Studio Development Essentials 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 Android Studio Development Essentials 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 geared for attendees with solid Python skills who wish to learn and use basic machine learning algorithms and concepts Overview This 'skills-centric' course is about 50% hands-on lab and 50% lecture, with extensive practical exercises designed to reinforce fundamental skills, concepts and best practices taught throughout the course. Topics Covered: This is a high-level list of topics covered in this course. Please see the detailed Agenda below Getting Started & Optional Python Quick Refresher Statistics and Probability Refresher and Python Practice Probability Density Function; Probability Mass Function; Naive Bayes Predictive Models Machine Learning with Python Recommender Systems KNN and PCA Reinforcement Learning Dealing with Real-World Data Experimental Design / ML in the Real World Time Permitting: Deep Learning and Neural Networks Machine Learning Essentials with Python is a foundation-level, three-day hands-on course that teaches students core skills and concepts in modern machine learning practices. This course is geared for attendees experienced with Python, but new to machine learning, who need introductory level coverage of these topics, rather than a deep dive of the math and statistics behind Machine Learning. Students will learn basic algorithms from scratch. For each machine learning concept, students will first learn about and discuss the foundations, its applicability and limitations, and then explore the implementation and use, reviewing and working with specific use casesWorking in a hands-on learning environment, led by our Machine Learning expert instructor, students will learn about and explore:Popular machine learning algorithms, their applicability and limitationsPractical application of these methods in a machine learning environmentPractical use cases and limitations of algorithms Getting Started Installation: Getting Started and Overview LINUX jump start: Installing and Using Anaconda & Course Materials (or reference the default container) Python Refresher Introducing the Pandas, NumPy and Scikit-Learn Library Statistics and Probability Refresher and Python Practice Types of Data Mean, Median, Mode Using mean, median, and mode in Python Variation and Standard Deviation Probability Density Function; Probability Mass Function; Naive Bayes Common Data Distributions Percentiles and Moments A Crash Course in matplotlib Advanced Visualization with Seaborn Covariance and Correlation Conditional Probability Naive Bayes: Concepts Bayes? Theorem Naive Bayes Spam Classifier with Naive Bayes Predictive Models Linear Regression Polynomial Regression Multiple Regression, and Predicting Car Prices Logistic Regression Logistic Regression Machine Learning with Python Supervised vs. Unsupervised Learning, and Train/Test Using Train/Test to Prevent Overfitting Understanding a Confusion Matrix Measuring Classifiers (Precision, Recall, F1, AUC, ROC) K-Means Clustering K-Means: Clustering People Based on Age and Income Measuring Entropy LINUX: Installing GraphViz Decision Trees: Concepts Decision Trees: Predicting Hiring Decisions Ensemble Learning Support Vector Machines (SVM) Overview Using SVM to Cluster People using scikit-learn Recommender Systems User-Based Collaborative Filtering Item-Based Collaborative Filtering Finding Similar Movie Better Accuracy for Similar Movies Recommending movies to People Improving your recommendations KNN and PCA K-Nearest-Neighbors: Concepts Using KNN to Predict a Rating for a Movie Dimensionality Reduction; Principal Component Analysis (PCA) PCA with the Iris Data Set Reinforcement Learning Reinforcement Learning with Q-Learning and Gym Dealing with Real-World Data Bias / Variance Tradeoff K-Fold Cross-Validation Data Cleaning and Normalization Cleaning Web Log Data Normalizing Numerical Data Detecting Outliers Feature Engineering and the Curse of Dimensionality Imputation Techniques for Missing Data Handling Unbalanced Data: Oversampling, Undersampling, and SMOTE Binning, Transforming, Encoding, Scaling, and Shuffling Experimental Design / ML in the Real World Deploying Models to Real-Time Systems A/B Testing Concepts T-Tests and P-Values Hands-on With T-Tests Determining How Long to Run an Experiment A/B Test Gotchas Capstone Project Group Project & Presentation or Review Deep Learning and Neural Networks Deep Learning Prerequisites The History of Artificial Neural Networks Deep Learning in the TensorFlow Playground Deep Learning Details Introducing TensorFlow Using TensorFlow Introducing Keras Using Keras to Predict Political Affiliations Convolutional Neural Networks (CNN?s) Using CNN?s for Handwriting Recognition Recurrent Neural Networks (RNN?s) Using an RNN for Sentiment Analysis Transfer Learning Tuning Neural Networks: Learning Rate and Batch Size Hyperparameters Deep Learning Regularization with Dropout and Early Stopping The Ethics of Deep Learning Learning More about Deep Learning Additional course details: Nexus Humans Machine Learning Essentials with Python (TTML5506-P) 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 Machine Learning Essentials with Python (TTML5506-P) 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.