Course Description
QUICK FACTS
Introduction to LLMs: How they work and real-world use cases.
Hands-On Lab: Exploring LLM responses and understanding input-output behavior.
What is Retrieval-Augmented Generation?
Why RAG is necessary for grounding AI and reducing hallucinations.
Hands-On Lab: Visualizing a simple RAG workflow.
Core prompt structures and best practices for controlling AI output.
Hands-On Lab: Improving response accuracy through iterative prompt design.
Concepts of chaining vs. agents vs. memory.
Hands-On Lab: Building a multi-step chained prompt workflow.
Handling PDFs, DOCX, and TXT files in AI pipelines.
Hands-On Lab: Loading and reading complex documents into a data pipeline.
CAREER GROWTH
Climb the ladder of success with structured role progression.
The most effective project-based immersive learning experience The most effective project-based immersive learning experience The most effective project-based immersive learning experience
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