Curriculum
- 13 Sections
- 78 Lessons
- 28 Weeks
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- Description
The AI & Machine Learning Course follows an industry-focused curriculum designed to help learners master Artificial Intelligence, Machine Learning, Python Programming, Data Science, Generative AI, and Prompt Engineering. Through live online classes, practical assignments, and project-based learning, you'll gain the technical skills required to become an AI professional.
0 - Module 1 – Introduction to Artificial IntelligenceBuild a strong foundation in Artificial Intelligence by understanding its history, evolution, core concepts, and real-world applications. This module introduces the fundamentals of an Artificial Intelligence Course, explores how AI is transforming industries, and highlights exciting career opportunities in the UK. It prepares learners for advanced topics covered throughout this Machine Learning Course.5
- Module 2 – Python Programming for AILearn Python, the most popular programming language used in Artificial Intelligence, Data Science, and Machine Learning. This module covers Python syntax, data structures, functions, object-oriented programming, and essential libraries used in every Artificial Intelligence Course UK, preparing learners to build intelligent applications confidently.8
- Module 3 – Mathematics & Statistics for Machine LearningDevelop the mathematical foundation required for Machine Learning and Data Science. Topics include linear algebra, probability, statistics, vectors, matrices, and optimisation techniques that power AI algorithms. These concepts are essential for anyone pursuing a Data Science Course, Artificial Intelligence Course, or AI Certification.7
- Module 4 – Data Science & Data AnalysisDiscover the fundamentals of Data Science, data preparation, exploratory data analysis, and data visualisation using modern tools. Learn how data drives Artificial Intelligence and business decision-making while developing practical skills required for a successful Data Science Course, Data Analytics Course, or Data Analyst Course.8
- Module 5 – SQL & Database ManagementMaster SQL and relational database concepts essential for AI and analytics professionals. Learn database design, queries, joins, indexing, and data management techniques used in enterprise environments. This module builds the practical skills required for a SQL Course, Data Analytics Certification, and Data Science careers.7
- Module 6 – Machine Learning
- Introduction to Machine Learning
- Supervised Learning
- Unsupervised Learning
- Regression Algorithms
- Classification Algorithms
- Decision Trees
- Random Forest
- Support Vector Machine (SVM)
- K-Means Clustering
- Model Evaluation Techniques
10 - Module 7 – Deep LearningLearn advanced Deep Learning techniques using neural networks, TensorFlow, Keras, CNNs, and RNNs. This module demonstrates how Deep Learning powers image recognition, natural language processing, and modern AI systems. It provides valuable skills for learners pursuing Artificial Intelligence, Data Science, and AI Certification.8
- Module 8 – Generative AI & Prompt EngineeringDiscover the latest developments in Generative AI, Large Language Models, and Prompt Engineering. Learn how to work effectively with ChatGPT, Gemini, Claude, and other AI tools to automate tasks, generate content, and solve business problems. This module strengthens practical skills for a modern Artificial Intelligence Course and future AI careers.8
- Module 9 – AI Applications & AutomationUnderstand how Artificial Intelligence is transforming healthcare, finance, retail, education, manufacturing, and customer service. Explore AI automation, predictive analytics, intelligent assistants, and business workflows that improve productivity and innovation. This module prepares learners for real-world AI implementation across multiple industries.5
- Module 10 – Capstone ProjectsApply everything learned throughout the course by developing real-world AI and Machine Learning projects. Build portfolio-ready applications using industry-standard tools while solving practical business problems. These hands-on projects strengthen employability and prepare learners for AI Certification, Data Science Jobs UK, and professional AI roles.4
- Module 11 – Career Development & Placement SupportPrepare for successful careers in Artificial Intelligence, Machine Learning, and Data Science with CV building, LinkedIn optimisation, GitHub portfolio development, interview preparation, and career guidance. This module helps learners become job-ready for Data Science Jobs UK, Data Science Jobs London, and Artificial Intelligence roles while supporting long-term professional growth.8
- Capstone ProjectDuring the final phase of the programme, learners will build an end-to-end Artificial Intelligence & Machine Learning solution using Python, Machine Learning algorithms, SQL, Data Science techniques, Prompt Engineering, and Generative AI tools. This industry-ready project will become part of your professional portfolio and demonstrate your practical skills to future employers.0
History & Evolution of AI
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