AI+ Prompt Engineer Level 2™

Mastering Advanced Techniques for Effective AI Prompting
  • Prompt Mastery: Learn to design, refine, and optimise prompts across AI applications
  • Hands-On Learning: Gain practical experience with advanced tools for prompt integration
  • Real-World Focus: Solve real-world challenges using AI-driven prompt solutions
  • Advanced Curriculum: Emphasises experimentation, project execution, and innovation
  • Leadership-Oriented: Ideal for professionals bridging the gap between AI innovation and application.

Módulos

  • Module 1: Introduction to Prompt Engineering for Developers:
    1. 1.1 Overview of Prompt Engineering
    2. 1.2 Basics of API Interaction
    3. 1.3 Understanding Prompt Structures
    4. 1.4 Case Studies and Best Practices
    5. 1.5 Hands-on Exercise
  • Module 2: Advanced Prompt Design and Engineering:
    1. 2.1 Designing Advanced Prompt Techniques
    2. 2.2 Designing Multi-Turn Interactions
    3. 2.3 Contextual and Conditional Prompting
    4. 2.4 Crafting Domain-Specific Prompts
    5. 2.5 Contextual and Stateful Prompt Engineering
    6. 2.6 Meta-Prompting and Autonomous Refinement
    7. 2.7 Hands-on Exercise
  • Module 3: Experimentation and Optimization:
    1. 3.1 Automated Prompt Optimization Tools
    2. 3.2 A/B Testing and Evaluation
    3. 3.3 Reinforcement Learning for Prompt Engineering
  • Module 4: Designing Advanced Strategies for Prompt Engineering:
    1. 4.1 Contextual and Role-Based Prompting
    2. 4.2 Adaptive and Multimodal Prompting
  • Module 5: Integration with Development Tools:
    1. 5.1 Integrating with Popular Development Tools for Prompt
      Engineering
    2. 5.2 Code Repositories and Templates for Prompt
      Engineering
    3. 5.3 Developer Communities and Forums for Prompt
      Engineering
    4. 5.4 Version Control in Prompt Engineering Projects
  • Module 6: Applications of Prompt Engineering in Various Domains:
    1. 6.1 Natural Language Processing (NLP) Applications using
      Prompt Engineering
    2. 6.2 Business Applications using Prompt Engineering
    3. 6.3 Creative Applications using Prompt Engineering
  • Module 7: Project-Based Learning: Real-World AI Projects Using Prompt Engineering:
    1. 7.1 Project 1: AI-Driven Customer Support
    2. 7.2 Project 2: Personalized Content Generation
    3. 7.3 Project 3: AI in Data Analysis
  • Optional Module: AI Agents for Prompt Engineering:
    1. 1. What Are AI Agents
    2. 2. Applications and Trends of AI Agents for Prompt Engineers
    3. 3. Importance of AI Agents
    4. 4. Types of AI Agents

Herramientas de IA

  • ChatGPT
  • LangChain
  • BetterPrompt
  • GitHub Copilot
← Volver a cursos