GenAI / Agentic AI
This course explores Generative AI and Agentic AI, covering large language models, prompt engineering, retrieval-augmented generation, and autonomous AI agents. Learners will build practical applications using modern GenAI tools and frameworks used across the industry today.
Course Curriculum
A practical GenAI and Agentic AI learning journey covering large language models, prompt engineering, APIs, RAG, autonomous agents, tool use, and a project demonstration.
Understand how generative AI creates content and how large language models support diverse tasks.
What is Generative AI
Understand how generative AI models create text, images, and other content, and their business applications.
Foundation Models & LLMs
Explore how large language models are trained and what makes them capable of diverse tasks.
Craft prompts that improve the accuracy, usefulness, reasoning, and quality of model outputs.
Prompt Design Techniques
Learn to craft effective prompts to get accurate, useful outputs from language models.
Few-Shot & Chain-of-Thought Prompting
Apply advanced prompting techniques to improve reasoning and output quality.
Use language model APIs to generate text, automate tasks, and create basic GenAI-powered applications.
Using LLM APIs
Integrate large language model APIs into simple applications to generate text and automate tasks.
Building GenAI Applications
Build a basic GenAI-powered application such as a chatbot or content generator.
Understand semantic search and build a pipeline that grounds language model responses in custom data.
Vector Databases & Embeddings
Understand how embeddings and vector databases enable semantic search over documents.
Building a RAG Pipeline
Build a simple RAG pipeline that grounds LLM responses in custom data.
Explore how AI agents plan, reason, and take multi-step actions with external tools.
Introduction to AI Agents
Understand how AI agents plan, reason, and take multi-step actions to complete tasks.
Agent Frameworks & Tool Use
Explore frameworks such as LangChain for building agents that use external tools.
Apply GenAI and agent concepts in a practical project and explain the design decisions.
Building an AI Agent
Design and build an AI agent that solves a real-world task using tools and reasoning.
Capstone Demonstration
Present the GenAI / Agentic AI project and explain the design decisions.
What You'll Learn
Build practical GenAI and Agentic AI skills across language models, prompt design, APIs, retrieval, autonomous agents, and tool use.
Generative AI & LLMs
Understand generative models, their business applications, and foundation language models.
Prompt Engineering
Design effective prompts and apply few-shot and chain-of-thought techniques.
LLM APIs & Applications
Integrate LLM APIs to generate text, automate tasks, and build a basic application.
RAG & Vector Search
Explore embeddings and vector databases and build a RAG pipeline grounded in custom data.
Agentic AI & Tools
Understand how agents plan and reason and explore frameworks such as LangChain for tool use.
AI Agent Capstone
Build an agent for a real-world task and present the project design.
Ready to Build Your GenAI / Agentic AI Skills?
Take the next step toward practical GenAI learning in prompt engineering, LLM APIs, retrieval-augmented generation, and autonomous AI agents.
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