Generative AI Masters
Master LLMs, Prompt Engineering, RAG frameworks, and multi-modal AI models.
About This Program
Be at the forefront of the AI boom. Generative AI Masters dives into the mechanics of Large Language Models (LLMs), instructing you on how to fine-tune open-source models, construct Retrieval-Augmented Generation (RAG) applications, and master vector databases.
Career Outcomes
Position yourself perfectly as an AI Solutions Architect, Prompt Engineer, or GenAI Developer.
Who Should Enroll
Aimed at developers, analysts, and tech founders who want to integrate the power of OpenAI, Anthropic, or Hugging Face into their products.
Skills You Will Master
Detailed Syllabus
Module 1: Evolution of NLP to LLMs
- Transformers architecture overview.
- Understanding tokens, context windows, and embeddings.
- Navigating Hugging Face.
Module 2: Advanced Prompt Engineering
- Zero-shot and Few-shot prompting.
- Chain-of-Thought reasoning.
- System prompts and behavioral guardrails.
Module 3: AI Agents & Frameworks
- Introduction to LangChain components.
- Building conversational chains.
- Creating autonomous AI agents with specialized tools.
Module 4: Vector Databases & RAG
- Chunking and embedding documents.
- Integrating vector stores (Pinecone, ChromaDB).
- Building enterprise Retrieval-Augmented Generation systems.
Module 5: Model Fine-Tuning
- PEFT and LoRA techniques.
- Fine-tuning open-source models (Llama, Mistral) on custom datasets.
- Evaluating model hallucinations.
Module 6: Multi-Modal AI & Deployment
- Image generation models (Stable Diffusion, Midjourney integrations).
- Audio and video generation APIs.
- Deploying scalable GenAI apps to the cloud.
Frequently Asked Questions
Do I need prior coding experience?
Basic Python programming is necessary to interact with APIs and build RAG chains using LangChain or LlamaIndex.
Do you provide placement assistance?
Yes! We provide 100% placement assistance, resume building workshops, mock interviews, and direct referrals to our hiring partners.
What if I miss a live class?
All live sessions are recorded and made available on your student dashboard within 24 hours, giving you lifetime access to review them anytime.