Prompt Engineering Bootcamp From Beginner To Expert
Posted: Sun Aug 02, 2026 8:42 pm

Prompt Engineering Bootcamp: From Beginner To Expert
Published 7/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 4h 27m | Size: 2.85 GB
Master Prompt Engineering: Unlock the Full Potential of Generative AI
What you'll learn
Understand Prompt Engineering and how Large Language Models (LLMs) generate responses using tokens and context windows
Craft clear, structured, context-rich prompts for ChatGPT, Claude, Gemini, and other Generative AI tools
Master core prompting techniques including zero-shot, one-shot, few-shot, Chain-of-Thought (CoT), prompt chaining, and structured outputs
Design better prompts using task, context, constraints, output formats, and examples to get more accurate and useful AI responses
Apply practical Prompt Engineering frameworks including RTF, CARE, and RACE to structure prompts for different tasks
Use meta-prompting and prompt libraries to improve, optimize, and reuse effective prompts
Apply Prompt Engineering to real-world tasks including emails, reports, brainstorming, learning, upskilling, and meeting summaries
Recognise AI hallucinations, fact-check AI-generated content, improve reliability, and understand how prompting can differ between cloud and local AI models
Requirements
This course is designed to be accessible to everyone, so no coding or AI background required
Description
Demand for AI fluency - the ability to effectively use and work with AI tools - has grown nearly sevenfold in U.S. job postings in just two years.
Whether you're using AI at work, managing teams, creating content, studying, running a business, or simply trying to stay ahead, one skill is becoming increasingly valuable: Knowing how to communicate effectively with AI.
That's where prompt engineering comes in.
Prompt Engineering Bootcamp: From Beginner to Expert is a practical, hands-on course designed to help you master prompt engineering with ChatGPT, Claude, Gemini, and other leading AI tools - with no coding or previous AI experience required.
You won't just memorize prompt formulas. You'll learn how to design better prompts, choose the right prompting technique, use proven prompt engineering frameworks, improve weak AI responses, and apply these skills to real-world work.
What you'll learn
- Understand how Large Language Models (LLMs) work, including tokens and context windows, and choose between ChatGPT, Claude, and Gemini
- Design powerful prompts using task, context, constraints, examples, and output formats
- Master zero-shot, one-shot, few-shot, chain-of-thought prompting, prompt chaining, and structured outputs
- Apply practical prompt engineering frameworks such as RTF, CARE and RACE
- Use meta-prompting to make AI critique, improve, and optimize your prompts
- Build and organize reusable prompt templates and prompt libraries
- Apply prompt engineering to emails, reports, brainstorming, meetings, learning, and everyday professional tasks
- Identify AI hallucinations, verify outputs, and get more reliable responses from generative AI
This course is designed for beginners, professionals, students, educators, entrepreneurs, managers, and anyone who wants to get better results from AI.
You need to know how to work effectively with AI.
And that starts with knowing how to prompt it.
Who this course is for
Beginners who want to learn Prompt Engineering from the ground up with no coding or previous AI experience
Professionals, managers, entrepreneurs, freelancers, and consultants who want to get better results from ChatGPT, Claude, Gemini, and Generative AI
Students, educators, and lifelong learners who want to use AI more effectively for learning, research, brainstorming, and productivity
Anyone already using AI who is frustrated by vague, generic, or inconsistent responses and wants to learn structured Prompt Engineering techniques and frameworks
Anyone who wants practical, transferable prompting skills that can be applied across different Large Language Models (LLMs), cloud AI tools, and local AI models
Please Login or Register to see this code