Transform your AI interactions. Master prompt engineering with professional-grade tools and interactive learning.
Complete learning path from beginner to professional
Most AI courses teach theory. This course is built around hands-on practice.
Every concept is taught through interactive Jupyter notebooks with real-world projects you can immediately apply in your work.
Master the core skills that separate professionals from beginners
| #### **Lab 1: Prompt Foundations** Available Now **Skills:** Clarity, specificity, CLEAR framework **Time:** 2-3 hours - Fix 3 broken prompts that everyone struggles with - Master the CLEAR framework systematically - Complete real-world scenarios (job applications, social media) - Take the $500 content challenge [**Start Lab 1 →**](/AI-Prompt-Engineering/foundations_lab.html) | #### **Lab 2: Context Mastery** Coming Soon **Skills:** Information grounding, domain knowledge **Time:** 2-3 hours - Make AI understand YOUR specific business context - Learn few-shot and zero-shot prompting techniques - Master data integration and knowledge injection - Build domain-specific prompt libraries |
| #### **Lab 3: Structured Outputs** Coming Soon **Skills:** JSON, XML, API-ready data generation **Time:** 2-3 hours - Generate clean, parseable data formats - Master schema-driven prompt design - Build API integration workflows - Create data validation pipelines | #### **Lab 4: Chain-of-Thought** Coming Soon **Skills:** Step-by-step reasoning, logic chains **Time:** 2-3 hours - Implement reasoning frameworks - Build multi-step problem solving - Create verification and validation loops - Master complex analytical tasks |
Build advanced systems that professionals use in production
| #### **Lab 5: Advanced Frameworks** Coming Soon **Skills:** ReAct agents, tool integration **Time:** 3-4 hours - Build AI agents that use external tools - Implement ReAct (Reasoning + Acting) patterns - Create tool-calling workflows - Master agent orchestration | #### **Lab 6: Prompt Chaining** Coming Soon **Skills:** Multi-step workflows, pipeline design **Time:** 3-4 hours - Chain prompts for complex tasks - Build conditional logic flows - Create error handling and fallbacks - Master workflow optimization |
| #### **Lab 7: Self-Critique Systems** Coming Soon **Skills:** Quality loops, self-improvement **Time:** 3-4 hours - Build AI that critiques its own work - Implement iterative improvement cycles - Create quality scoring systems - Master self-correction patterns | #### **Lab 8: Testing & Evaluation** Coming Soon **Skills:** Benchmarking, optimization, A/B testing **Time:** 3-4 hours - Measure prompt performance scientifically - Build A/B testing frameworks - Create evaluation metrics and benchmarks - Master continuous improvement processes |
Ship real applications with measurable business value
| #### **Project 1: Customer Support AI** Coming Soon **Goal:** Reduce response times by 40% - Automated ticket classification and routing - Context-aware response generation - Escalation detection and handoff - Performance monitoring and optimization | #### **Project 2: Content Strategy Engine** Coming Soon **Goal:** Automated content pipelines - Multi-platform content generation - Brand voice consistency systems - Content calendar automation - Performance tracking and optimization |
| #### **Project 3: Code Review Assistant** Coming Soon **Goal:** Improve code quality metrics - Automated code analysis and suggestions - Security vulnerability detection - Performance optimization recommendations - Documentation generation | #### **Project 4: Research Synthesis Bot** Coming Soon **Goal:** Accelerate literature reviews - Multi-source information synthesis - Citation and reference management - Insight extraction and summarization - Knowledge graph construction |
| Tool | Purpose | Benefit |
|---|---|---|
| Prompt Validator | Scores prompts 0-100% using best practices | Get immediate feedback on prompt quality |
| Progress Tracker | Tracks mastery across 17 core competencies | See exactly what you’ve learned and what’s next |
| Version Control | Git-like system for prompt management | Save, compare, and reuse your best prompts |
| A/B Testing | Compare prompt performance scientifically | Optimize prompts with data, not guesswork |
| 🏆 Certificates | Completion certificates for each level | Document your skills for career advancement |
| Phase | Duration | Weekly Time | Focus |
|---|---|---|---|
| Foundation Labs | 2-3 weeks | 8-12 hours | Master core prompt engineering |
| Engineering Playground | 2-3 weeks | 10-15 hours | Build advanced AI systems |
| Professional Projects | 2-3 weeks | 12-18 hours | Ship portfolio applications |
| Total Course | 6-9 weeks | 10-15 hours/week | Complete mastery |
“Went from spending 4 hours writing one blog post to generating 10 high-quality articles in 30 minutes. Got promoted within 3 months.”
— Sarah, Marketing Manager
“Built an AI code reviewer that catches bugs I miss. Clients love it. Raised my rates 40%.”
— Mike, Freelance Developer
“Used prompt engineering to automate customer support. Went from 6 hours/day answering emails to 30 minutes reviewing AI responses.”
— Jessica, Startup Founder
| ### 🆕 **Complete Beginner** Never written a good prompt? [**Start with Foundations Lab →**](/AI-Prompt-Engineering/foundations_lab.html) Fix 3 broken prompts and see immediate improvements. | ### 🔧 **Some Experience** Used AI tools but want better results? [**Take Skill Assessment →**](skill_assessment.md) Find your level and jump to the right lab. | ### 👀 **Just Exploring** Want to see what you'll learn? [**View Examples →**](/AI-Prompt-Engineering/notebooks/foundations_lab_solutions.html) See before/after transformations and real results. |