Master ChatGPT, Claude and AI Tools With Proven Frameworks That Get Consistent, Professional Results Every Time
What you'll learn
Understand how LLMs work, including tokens, context windows, and probability, so you prompt with intention rather than guesswork.
Write effective prompts using zero-shot, few-shot, chain-of-thought, and role prompting for real-world tasks.
Control model output using formatting instructions, temperature settings, and structured outputs like JSON and XML.
Apply advanced techniques like self-consistency, ReAct, and RAG for complex, multi-step AI workflows.
Evaluate and iterate on prompts systematically to identify and fix hallucinations, sycophancy, and instruction drift.
Build prompt pipelines for summarization, classification, code generation, and information extraction tasks. You said: What Are the Requirements or Prerequisite
Requirements
No programming experience required. This course is built for non-technical learners.
Basic comfort using a computer and typing in a chat interface like ChatGPT or Claude is helpful but not mandatory.
No math or machine learning background needed. Technical concepts are explained from the ground up.
Access to any free AI tool such as ChatGPT, Claude, or Gemini is recommended so you can practice alongside the lessons.
