AI Skill StudioMaster Generative AI & Prompt Engineering
A complete, hands-on system for understanding how AI models actually work, so you can get consistent, professional results with any tool, on any task: websites, PDFs, presentations, code and campaigns.
- No pre-knowledge needed
- Lifetime access
- Secure checkout by Digistore24
Using AI is not the same as using it well.
Vague prompts get vague results. Copied "prompt tricks" stop working when the task changes. And without knowing how a model reads your instructions, every result feels like luck.
Inconsistent output
One prompt works, the next one doesn't, and you can't tell why.
Tricks that don't transfer
A list of clever phrases breaks the moment your task is different.
Same tool, different skill
You don't talk to everybody the same way. Prompting needs tone, structure and specific wording.
A system, not a list of tricks.
You learn how large language models work (tokens, context windows, temperature), then build a repeatable way to write prompts that works with GPT, Claude, Gemini or any other tool. Understand the mechanics well enough to solve problems no course ever covered.
How AI really works
LLMs, tokens, parameters, context windows and today's AI landscape.
Prompts that work
Task, context, constraints and format; roles, tone and output control.
Advanced patterns
Few-shot, chain-of-thought, self-consistency and prompt chaining.
Real-world tasks
Writing, research, coding, data and creative work with AI.
Control model behavior
System prompts, temperature and top-p, hallucinations and safety.
Scale and integrate
APIs, no-code tools, RAG, agents, evaluation and A/B testing.
7 modules, 44 lessons, one clear path.
From beginner foundations to advanced, each module ends with a quiz, and lessons include labs where you practice.
01What Is Generative AI?Beginner · 2 hours
- A brief history of AI: from rule-based systems to neural networks 25 min
- What makes AI "generative"? Text, images, audio, code 20 min
- How Large Language Models (LLMs) work: a plain-English walkthrough 30 min
- Key concepts: tokens, parameters, temperature, context windows 20 min
- The AI landscape today: GPT, Claude, Gemini, LLaMA and beyond 15 min
- Hands-on: Your first conversation with an AI assistant 10 min
02Prompt Engineering BasicsBeginner · 2.5 hours
- What is a prompt, really? Anatomy of a well-formed instruction 20 min
- The clarity principle: specificity beats vagueness every time 25 min
- Roles and personas: asking AI to "be" something 20 min
- Context and tone: adjusting formality, audience, and style 20 min
- Output format control: lists, tables, JSON, paragraphs 20 min
- Negative constraints: telling AI what NOT to do 15 min
- Lab: rewrite 3 weak prompts into strong ones 15 min
03Advanced Prompting PatternsIntermediate · 2.5 hours
- Few-shot prompting: teaching by example 25 min
- Chain-of-thought prompting: making AI show its work 25 min
- Self-consistency and multi-path reasoning 20 min
- Negative constraints and output guards 20 min
- Prompt chaining: breaking complex tasks into steps 20 min
- Lab: build a decision-making prompt chain 20 min
04AI for Real-World TasksIntermediate · 2.5 hours
- Writing and editing: drafts, summaries, rewrites, translation 25 min
- Research and analysis: extracting insights from long documents 25 min
- Coding with AI: generating, explaining, and debugging code 30 min
- Data tasks: classifying, structuring, and transforming information 20 min
- Creative use cases: brainstorming, ideation, storytelling 20 min
- Lab: solve 3 different real-world tasks using prompts alone 20 min
05System Prompts & Model BehaviorIntermediate · 2 hours
- System prompts vs. user prompts: what's the difference? 20 min
- Designing a system prompt: personas, rules, and guardrails 25 min
- Controlling temperature, top-p, and other model parameters 20 min
- Hallucinations: why they happen and how to reduce them 20 min
- Safety and ethical considerations in AI use 20 min
- Lab: build a custom AI assistant with a full system prompt 15 min
06Integrating AI Into Your WorkflowIntermediate · 2 hours
- Introduction to AI APIs: what they are and how to use them 25 min
- No-code tools: Zapier, Make, and AI workflow platforms 20 min
- Retrieval-Augmented Generation (RAG): grounding AI in your data 25 min
- AI agents: autonomous task execution and tool use 20 min
- Prompt libraries: storing, versioning, and sharing your best prompts 15 min
- Lab: automate a personal task using a no-code AI workflow 15 min
07Prompt Engineering at ScaleAdvanced · 2.5 hours
- Evaluating prompt performance: metrics and testing frameworks 25 min
- A/B testing prompts: systematic improvement methodology 20 min
- Multi-modal prompting: combining text, images, and documents 25 min
- Fine-tuning vs. prompting: when to use which approach 20 min
- The future of prompt engineering: where the field is heading 15 min
- Building your personal AI toolkit and learning roadmap 20 min
- Course review and final project briefing 15 min
You finish with something you built.
The capstone: build your own AI-powered assistant from scratch, for a domain of your choice.
Problem statement
Who the assistant is for and what real task it solves.
System prompt
Persona, scope, guardrails and a default response format.
Prompt library
5+ prompts, including edge cases, organized like a real library.
Evaluation report
Test the assistant, note what fell short, propose improvements.
Demo walkthrough
A short walkthrough of your assistant in action.
Hands-on labs
Rewrite prompts, build prompt chains, automate a task with a no-code workflow.
Everything in one member area.
- 7 modules and 44 lessons, about 16 hours of material
- 50 quizzes: a quiz for 43 lessons plus a quiz at the end of each of the 7 modules
- 14 diagrams and demos that make the concepts visual
- 1 capstone project: build your own AI assistant
- Progress tracker and lesson-by-lesson navigation
- Self-paced, lifetime access with your own login
Anatomy of a Well-Formed Prompt
- Beginners. No pre-knowledge needed, just internet and a PC.
- Everyday AI users of GPT, Claude or Gemini who want consistent, professional results.
- Anyone using AI for work: writing, research, coding, data or creative tasks.
- Self-paced learners who like quizzes, labs and a hands-on project.
- Anyone looking for a list of "10 prompt tricks". This is a complete system.
- People who want a fixed live schedule. The course is self-paced.
- Anyone without a PC and an internet connection.
- Anyone unwilling to practice. The labs, quizzes and capstone are hands-on.
From checkout to your first lesson.
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Generative AI & Prompt Engineering
- 7 modules, 44 lessons, 50 quizzes
- Capstone project: build your own AI assistant
- 14 diagrams and demos
- Progress tracker in your own member area
Secure checkout and payment by Digistore24.
Questions, answered.
Do I need any pre-knowledge?
No. You just need internet and a PC.
I already use AI tools like GPT, Claude and Gemini. Will this help?
Yes. Prompting is a skill in itself: just like people, you don't talk to everybody the same way. You need a tone, a structure and specific words to interact better, and the course teaches exactly that.
Is there an age limit?
None, really, as long as you know how to form a sentence. It helps if you already know how to use a PC for more complex, professional tasks.
Is access really for life?
Yes. Once you buy it, it's yours. Come back to it whenever you want.
How do I get into the course after paying?
After checkout you land on a thank-you page. Create your account with the same email you used at checkout, verify it, then log in. The course opens once your payment is confirmed.
Any tip for learning faster?
Keep an AI tool (GPT, Claude or Gemini) open alongside the course to get more examples and test what you learn in real time.
Learn the skill behind building anything.
16 hours. One powerful skill. Start whenever you're ready.
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