Generative AI

Learn how large language models work and build practical applications with generative AI. This intermediate program follows a practical, step-by-step approach — every module combines concept sessions with guided hands-on practice, so you build real, job-relevant skills in Generative AI.

• LLMs
• Prompt Design
• Python
• LLM APIs
• Embeddings
• RAG
• Vector Databases

• Clean, analyse and visualise real datasets
• Apply statistics to real business problems
• Build and evaluate predictive models
• Communicate insights with dashboards & reports
• Use modern AI tools responsibly and effectively
• Present end-to-end data projects

1. 01GenAI Foundations
   • How LLMs work
   • Tokens & context
   • Capabilities & limits
2. 02Prompting
3. 03Building with APIs
4. 04Retrieval-Augmented Generation
5. 05Responsible AI

Curriculum may be updated to reflect current industry practices. Contact us for the latest syllabus.

• 1Document Q&A Assistant
• 2AI Content Assistant
• 3Customer Support Chatbot

• Structured, step-by-step curriculum
• Hands-on coding in every module
• Real-time project development
• Mentor guidance & doubt clearing
• GitHub portfolio building
• Interview preparation support

1. 01Concept sessions with clear, real-world examples
2. 02Guided hands-on practice after every topic
3. 03Assignments and regular skill assessments
4. 04Mini projects and a final real-time project
5. 05Mentor reviews, feedback and doubt clearing
6. 06Career preparation: resume, portfolio & mock interviews