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.
Get certificate
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.
Explore More Learning Paths
Take your AI and large language model expertise to the next level with these hand-picked programs designed to help you build, deploy, and optimize LLMs for real-world applications.
Related Courses
-
Generative AI with Large Language Models Course – Learn how to design and implement generative AI models, including LLMs, for advanced applications across industries.
-
Introduction to Large Language Models Course – Get a foundational understanding of LLM architectures, training methods, and practical use cases.
-
Generative AI Engineering with LLMs Specialization Course – Master end-to-end generative AI engineering, from prompt design to deploying intelligent agents powered by LLMs.
Related Reading
-
What Is Python Used For? – Explore the programming foundation behind AI and LLMs, and learn why Python is essential for building and interacting with large language models.
