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Artificial Intelligence
Advanced
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PGP in Generative AI
Flagship 12-month Gen AI postgraduate program covering transformers, LLMs, RAG, fine-tuning, diffusion and production GenAI systems with 6 capstones, 1:1 mentorship and placement support.
4.9
520 enrolled
12 months · 480+ live learning hours
Certificate
Overview
Curriculum
Instructor
FAQ
Program Overview
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 learn
- 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
PythonPyTorchHugging FaceOpenAI APILangChainLlamaIndexPineconeWeights & BiasesDocker
Hands-on Projects
- Enterprise RAG knowledge assistant
- Fine-tuned domain-specific LLM
- Multimodal image and text generation app
- LLM evaluation and guardrails framework
- Cost-optimized production GenAI API
- Responsible-AI red-teaming capstone
Career Outcomes
Generative AI EngineerLLM Application DeveloperAI Product EngineerMachine Learning EngineerApplied AI Scientist
Complimentary software included
Enroll in this course and get these professional tools free — licenses and access are provided as part of the program, at no extra cost.
GPU Cloud Credits Compute
Managed GPU credits for training and fine-tuning.
OpenAI API Credits LLM API
Build and ship LLM applications.
Hugging Face Pro Model Hub
Access models, datasets and inference.
LangSmith LLMOps
Trace, test and evaluate GenAI pipelines.
Pinecone Standard Vector DB
Managed vector database for RAG.
Weights & Biases MLOps
Experiment tracking and dashboards.
Curriculum
Foundations of Deep Learning
- Neural networks
- Optimization
- Regularization
Neural Networks with PyTorch
- Tensors and autograd
- Training loops
- GPUs
Transformer Architectures & Attention
- Self-attention
- Encoder-decoder
- Tokenization
Large Language Models In Depth
- Pretraining
- Scaling laws
- Model families
Prompt Engineering & In-Context Learning
- Prompt patterns
- Structured output
- Few-shot
Retrieval-Augmented Generation (RAG)
- Chunking
- Retrieval
- Grounding
Fine-Tuning & Parameter-Efficient Methods
- Full fine-tuning
- LoRA and PEFT
- Alignment
Multimodal & Diffusion Models
- Diffusion
- Vision-language models
- Image generation
LLMOps & Production Deployment
- Serving
- Caching
- Scaling
Evaluation, Guardrails & Responsible AI
- Evals
- Guardrails
- Safety and bias
Vector Databases & Semantic Search
- Embeddings
- Vector DBs
- Hybrid search
Scaling, Cost & Performance Optimization
- Quantization
- Batching
- Cost control
Capstone, Certification & Career Readiness
- Capstone projects
- Portfolio review
- Placement support
Marcus Lee
AI Engineering Lead
Built GenAI products used by millions; speaker at major AI conferences.
Certificate
Industry-recognized PGP in Generative AI certificate with capstone portfolio review.
What background do I need?
Comfort with Python is recommended. The program includes a deep learning refresher before advanced GenAI topics.
Do I get compute and API credits?
Yes. Premium GPU compute and LLM API credits are provided free so you can build and fine-tune real systems.
Is placement support included?
Yes, with career coaching, portfolio reviews, mock interviews and hiring-partner referrals.
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