Generative AI and LLM Applied Certification Training - Self-Paced E-Learning Course
Learn GenAI at your own pace with HD video lectures, 500+ practice questions, downloadable cheat sheets and mentor support, fully aligned with Industry-aligned, capstone-based.
What's Inside the GenAI E-Learning Program
Self-Paced HD Video Library
On-demand access to full curriculum recordings, organised module by module.
Practice Tests with Explanations
Hundreds of exam-style questions with detailed rationales for every answer.
Downloadable Study Resources
PDF formula sheets, mind maps, glossaries and process charts to revise offline.
Mobile + Desktop Access
Learn on iOS, Android, tablet or laptop. Pick up exactly where you left off.
Mentor Support on Demand
Email and chat support from certified instructors for doubt resolution.
Certificate of Completion
Earn a verifiable Learners Ink certificate to attach to your application.
GenAI Self-Paced Curriculum
Modular content mapped to Industry-aligned, capstone-based. Watch on any device, revisit any chapter, anytime.
Module 1: LLM Foundations and Prompt Engineering
- Transformer intuition for builders
- Tokens, context windows, temperature, top-p
- Model families: GPT, Claude, Gemini, open-source
- Choosing a model: cost, latency, capability
- System and user prompts
- Few-shot and chain-of-thought
Module 2: Retrieval-Augmented Generation
- OpenAI, Cohere, Sentence Transformers
- Embedding dimensionality and storage
- Similarity metrics
- Evaluation of embeddings
- Fixed-size, sentence and recursive chunking
- Semantic chunking
Module 3: Agents, Tool Use and Multi-Step Reasoning
- ReAct pattern
- Planner-executor pattern
- Reflection and self-critique
- When NOT to use agents
- Tool design and naming
- Schema-first tool specs
Module 4: Fine-Tuning, Multi-Modal and Open-Source
- When to fine-tune vs prompt
- Hosted FT (OpenAI, Anthropic)
- LoRA and QLoRA basics
- Dataset preparation
- Llama 3.x, Mistral, Qwen, DeepSeek
- Together AI, Groq, Fireworks
Module 5: Evaluation, Safety, Observability and Deployment
- LLM-as-a-judge
- Golden sets and regression tests
- Ragas, DeepEval, TruLens
- Human eval design
- Prompt injection and jailbreaks
- Llama Guard and OpenAI Moderation
Module 6: Responsible AI and GenAI Engineer Career Launch
- EU AI Act overview
- NIST AI RMF
- Model cards and data sheets
- Bias and fairness in LLMs
- LLM system design rounds
- Prompt and eval whiteboards
Who This Program Is For
- Aspiring AI / GenAI Engineer
- Software Engineer
- ML Engineer
- Data Scientist
- Backend Engineer
- Product Manager
What You'll Achieve
- LLM Fundamentals
- Prompt Engineering
- Retrieval-Augmented Generation
- Agents and Tool Use
- Fine-Tuning Intro
- Evaluation and Observability
- Cost, Latency and Scaling
- Safety and Responsible AI
Frequently Asked Questions
More Data Science & AI E-Learning
Start Your GenAI Journey Today
Instant access, 12 months to complete, mentor support throughout. Enrol and start learning in under 5 minutes.