Programme Content
Introduction to Artificial Intelligence and Machine Learning
Build a solid foundation in AI and ML by exploring essential concepts, their evolution, applications, key learning methods, and the neural network architectures that drive today’s advanced AI systems.
Course 2Introduction to Python (Optional)
Learn Python fundamentals with a focus on data analytics and deep learning. Write code for data analysis, visualize insights, and understand Python’s role in powering advanced deep learning models.
Course 3Generative AI
Get a comprehensive introduction to Generative AI, covering core principles, key models, and practical uses. Explore how generative models work and gain hands-on experience with tools like ChatGPT and DALL-E.
Course 4AI Agents and Automation
Explore AI agents and automation, learning foundational concepts and practical applications in business. Understand how AI autonomously performs tasks to streamline workflows and enhance cross-functional efficiency.
Course 5AI Tools for Productivity
Gain hands-on experience with AI tools for personal and technical productivity. Learn to apply them across task management, writing, code generation, and debugging to improve efficiency and output quality.
Course 6AI for Business
Harness AI across the full spectrum of business functions. Explore applications in customer journey, products, finance, operations, and HR to drive innovation, streamline processes, and improve decision-making across your organisation.
Course 7AI Ethics and Future Trends
Examine ethical challenges and responsibilities in AI. Understand potential biases, dilemmas, and best practices for responsible use as AI becomes deeply integrated into business and society.
