AI for Developers 101: Building the Future
A practical guide for software engineers to transition from traditional logic to generative AI integration. Learn the fundamentals of LLMs, prompt engineering, and agentic workflows.
What You'll Review
Course Modules
Explore the topics and flashcards included in this study pack.
LLM Fundamentals
An introduction to how Large Language Models function, covering tokens, context windows, and the core architecture that powers modern AI.
Prompt Engineering
Mastering the art of structured communication with models, including few-shot prompting, chain-of-thought techniques, and system message optimization.
Vector Databases & RAG
Learning how to provide models with long-term memory and proprietary data through Retrieval-Augmented Generation and semantic search.
AI Orchestration
Integrating AI into software stacks using frameworks like LangChain or Laravel's ecosystem to manage complex data flows and model interactions.
Agentic Workflows
Moving beyond simple chat interfaces to build autonomous agents capable of planning, using tools, and executing multi-step tasks to solve developer problems.