PGP in Generative AI

About this program

A flagship postgraduate program for engineers and analysts building the next generation of AI products. Across 12 months, 480+ live hours and 13 modules you master deep learning, transformer architectures, large language models, retrieval-augmented generation, fine-tuning, multimodal and diffusion models, evaluation, safety and full production deployment. Includes 6 capstones, weekly 1:1 mentorship, responsible-AI training, certification and dedicated placement support, with premium GPU compute and LLM API credits provided free.

What you'll be able to do

• Understand transformers, attention and modern LLM architectures
• Build production RAG systems and GenAI applications
• Fine-tune and align open and closed LLMs
• Create multimodal and diffusion-based generation systems
• Evaluate, secure and monitor GenAI in production
• Ship responsible, cost-efficient GenAI products end to end

Tools you'll use

1. 01
   Foundations of Deep Learning3 topics

   • Neural networks
   • Optimization
   • Regularization
2. 02
   Neural Networks with PyTorch3 topics

   • Tensors and autograd
   • Training loops
   • GPUs
3. 03
   Transformer Architectures & Attention3 topics

   • Self-attention
   • Encoder-decoder
   • Tokenization
4. 04
   Large Language Models In Depth3 topics

   • Pretraining
   • Scaling laws
   • Model families
5. 05
   Prompt Engineering & In-Context Learning3 topics

   • Prompt patterns
   • Structured output
   • Few-shot
6. 06
   Retrieval-Augmented Generation (RAG)3 topics

   • Chunking
   • Retrieval
   • Grounding
7. 07
   Fine-Tuning & Parameter-Efficient Methods3 topics

   • Full fine-tuning
   • LoRA and PEFT
   • Alignment
8. 08
   Multimodal & Diffusion Models3 topics

   • Diffusion
   • Vision-language models
   • Image generation
9. 09
   LLMOps & Production Deployment3 topics

   • Serving
   • Caching
   • Scaling
10. 10
    Evaluation, Guardrails & Responsible AI3 topics

    • Evals
    • Guardrails
    • Safety and bias
11. 11
    Vector Databases & Semantic Search3 topics

    • Embeddings
    • Vector DBs
    • Hybrid search
12. 12
    Scaling, Cost & Performance Optimization3 topics

    • Quantization
    • Batching
    • Cost control
13. 13
    Capstone, Certification & Career Readiness3 topics

    • Capstone projects
    • Portfolio review
    • Placement support
14. Certificate

    Industry-recognized PGP in Generative AI certificate with capstone portfolio review.

Projects you'll build

Hands-on work reviewed by your mentor. Together they become your portfolio.

1. P1Enterprise RAG knowledge assistant
2. P2Fine-tuned domain-specific LLM
3. P3Multimodal image and text generation app
4. P4LLM evaluation and guardrails framework
5. P5Cost-optimized production GenAI API
6. P6Responsible-AI red-teaming capstone

Where it can take you

Roles this program prepares you for:

Your mentor

From learners

Questions