Next Level AI
Imagine learning to work with the technology that’s revolutionizing the world: Generative Artificial Intelligence.
In this course, you’ll discover step by step and through hands-on practice how to use tools like ChatGPT, Claude, Gemini, or Copilot, master Prompt Engineering, and even create your own custom GPTs.
Without complex technical jargon, you’ll learn to integrate AI into your daily routine and enhance your creativity, productivity, and professional future.
Your journey toward innovation starts here.
Section 1: Introduction - 10 min
1. Course presentation
2. Objectives and general structure
3. Scope and applications of Generative AI
4. Tools we will use in the course
5. Recommendations for learning
6. Spaces for practice and evaluation
7. Frequently Asked Questions and Technical Support
Section 2: Generative AI and Large Language Models (LLMs) – 20 min
1. What is Generative AI?
2. Introduction to LLMs
3. How an LLM works
4. Getting Started with ChatGPT
5. ChatGPT Registration and Configuration
6. Initial practical cases with ChatGPT
7. Limitations and best practices for use
Section 3: Prompt Engineering – 90 min
1. Fundamentals of Prompt Engineering
2. Basic principles: delimiters, structured output, conditions
3. In-Context Learning: Zero, One and Few-shot examples
4. Specification of actions and use of placeholders
5. Guided exercises and practical tasks
6. Advanced Principles: Root Prompt, Persona Pattern, Meta-language
7. Reasoning patterns: Chain of Thought, ReAct, Game Play
8. Collection and reuse of effective prompts
Section 4: Generative AI Tools: DeepSeek, Gemini, Claude, Copilot – 90 min
1. Introduction to tools that complement ChatGPT
2. DeepSeek: Registration, operation, and privacy
3. Practical cases with DeepSeek
4. Claude: Characteristics and case study
5. Gemini: Uses and comparison with other LLMs
6. Microsoft Copilot: Workflow Integration
7. POE: Platform for accessing multiple LLMs
Section 5: Advanced Prompt Engineering and Use of GPTs – 60 min
1. Advanced use of ChatGPT with GPT-4 and GPT-4o
2. Multimodal capabilities: text, image, web search
3. Introduction to Custom GPTs
4. Creating and configuring your own GPTs
5. Connecting GPTs to external services (AiPDF, Canva, Browser)
6. Advanced data analysis with ChatGPT
7. Publishing and sharing GPTs
