
Learn Features of AI : Complete Prompt Engineering Bootcamp
Last updated 10/2025
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
What you’ll learn
Understand how prompt design influences ChatGPT outputs
Master key LLM controls (system messages, temperature, top_p, max_tokens, penalties).
Learn the different types of prompts (instruction, few-shot, chain-of-thought, role, etc.).
Grasp tokens, cost, and latency trade-offs for efficiency.
Design, test, and iterate prompts across multiple use-cases (summarization, coding, data extraction, customer support, content generation).
Build a library of reusable prompt templates.
Apply chaining methods to connect multiple AI steps into workflows.
Use tools and APIs (ChatGPT Playground, LangChain, PromptLayer) to automate workflows.
Measure prompts with qualitative and quantitative metrics (accuracy, F1, BLEU/ROUGE, user satisfaction).
Optimize for cost and latency in real deployments.
understand why hallucinations happen and how to mitigate them.
Implement guardrails (refusal prompts, style constraints, profanity/PII filters).
Apply legal, privacy, and safety considerations when deploying AI in production.
Add logging, caching, and observability for scaling.
Plan failover strategies and human-in-loop safeguards.
Optimize tokens and examples for efficiency.
Explore prompt tuning vs. instruction tuning.
Learn retrieval-augmented generation (RAG) basics.
Experiment with multimodal prompts (text + image).
Get an intro to RLHF and future LLM research directions.
Requirements
Basic computer literacy – comfortable with using web apps, browsers, and online tools.
Familiarity with ChatGPT (or similar LLMs) – at least basic experience asking questions and reading outputs.
Curiosity and problem-solving mindset – willingness to experiment, iterate, and think critically about outputs.
Description
Who this course is for
Aspiring Traders & Investors
Content Creators & YouTubers
AI & Automation Enthusiasts
Entrepreneurs & Side Hustlers
Students & Professionals
Lifelong Learners

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