What will you in LLM Engineering: Master AI, Large Language Models & Agents Course
- Master the foundations of LLM engineering using models like GPT, Claude, and LLaMA.
- Learn prompt engineering, fine-tuning, embeddings, and vector databases.
- Build real-world applications using Retrieval-Augmented Generation (RAG).
- Explore agent frameworks like LangChain and AutoGen.
- Understand LLM deployment, evaluation, and safety best practices.
Program Overview
Module 1: Introduction to LLM Engineering
⏳ 30 minutes
What is LLM engineering and why it matters today.
Overview of key LLMs (GPT, Claude, LLaMA, Mistral) and architecture basics.
Module 2: Prompt Engineering & APIs
⏳ 60 minutes
Types of prompts: zero-shot, few-shot, and chain-of-thought.
Calling LLMs via APIs (OpenAI, Anthropic) and optimizing responses.
Module 3: Embeddings, Vectors & Memory
⏳ 60 minutes
How embeddings work and use cases in search and personalization.
Introduction to vector databases (Pinecone, FAISS) and memory storage.
Module 4: Retrieval-Augmented Generation (RAG)
⏳ 75 minutes
Architecture of RAG systems and benefits.
Connecting LLMs with custom data using embedding search.
Module 5: Agents & LangChain Frameworks
⏳ 75 minutes
What are LLM agents and how they function.
Using LangChain and AutoGen to build dynamic multi-step workflows.
Module 6: Evaluation & Safety in LLMs
⏳ 45 minutes
Evaluating outputs: hallucinations, factual accuracy, and toxicity.
Best practices for safety, bias reduction, and responsible deployment.
Module 7: Real-World Projects & Capstone
⏳ 60 minutes
End-to-end AI app build using LangChain + RAG + Pinecone.
Deploying LLM-powered apps for document Q&A, chatbots, and more.
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Job Outlook
- High Demand: Companies seek LLM engineers for AI integration and product development.
- Career Advancement: Ideal for software developers, ML engineers, and AI architects.
- Salary Potential: $120K–$220K+ for roles in GenAI engineering and AI product development.
- Freelance Opportunities: High-paying gigs in building LLM-powered solutions and consulting on GenAI systems.
Specification: LLM Engineering: Master AI, Large Language Models & Agents
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