Learn Features of AI : Complete Prompt Engineering Bootcamp

Master Practical Prompt Engineering for ChatGPT, API to Build Smarter AI Workflows and Real-World Applications

Sub Category

• Data Science

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Objectives

• 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).
• Run A/B testing to compare prompt variations.
• 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.

Pre Requisites

1. Basic computer literacy — comfortable with using web apps, browsers, and online tools.
2. Familiarity with ChatGPT (or similar LLMs) — at least basic experience asking questions and reading outputs.
3. English proficiency — since prompts and outputs are in English, learners should be able to write clear instructions.
4. Introductory programming knowledge (optional but helpful) — understanding JSON, variables, or simple Python/JavaScript will help in API and automation lessons, but not mandatory.
5. Curiosity and problem-solving mindset — willingness to experiment, iterate, and think critically about outputs.

FAQ

• Q. How long do I have access to the course materials?
  • A. You can view and review the lecture materials indefinitely, like an on-demand channel.
• Q. Can I take my courses with me wherever I go?
  • A. Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!

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