AI+ Prompt Engineer Level 2™

Certificate Code: AC-1302

Passing Score: 70% (35/50)

Exam Info: 50 MCQs, 90 Minutes

Tagline: Mastering Advanced Techniques for Effective AI Prompting

Course Overview:

Prerequisites:

Tools Used:

• ChatGPT
• LangChain
• BetterPrompt
• GitHub Copilot

Modules:

• 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

What You’ll Learn:

• Design and Optimization of Prompts — Demonstrate the ability to craft, refine, and optimize prompts to achieve desired outcomes across different AI applications.
• Advanced Strategies in Prompt Engineering — Apply advanced prompt engineering techniques and strategies to solve complex problems and drive innovation in AI systems.
• Integration with Development Tools — Showcase proficiency in integrating prompt engineering workflows with development tools, APIs, and programming environments.
• Real-World Applications and Project Execution — Implement prompt engineering concepts in real-world scenarios, completing project-based tasks that highlight practical applications across diverse domains.

Career Opportunities:

• AI Developers — Enhance your prompt engineering skills and optimize AI-driven applications for diverse use cases.
• Machine Learning Enthusiasts — Learn how to fine-tune models and improve AI performance with advanced prompting techniques.
• Tech Professionals — Integrate cutting-edge prompt engineering strategies into your AI solutions for greater impact.
• Students & New Graduates — Gain expertise in prompt engineering and boost your career prospects in the fast-growing AI field.
• AI Researchers & Practitioners — Deepen your knowledge of AI models and develop advanced prompt engineering techniques for real-world applications.

Exam Blueprint:

• Introduction to Prompt Engineering - 10%
• Advanced Prompt Design and Engineering - 15%
• Experimentation and Optimization - 15%
• Designing Advanced Strategies for Prompt Engineering - 15%
• Integration with Development Tools - 15%
• Applications of Prompt Engineering in Various Domains - 15%
• Project-Based Learning: Real-World AI Projects - 15%

Self-Study Materials:

• Videos: Engaging visual content to enhance understanding and learning experience.
• Podcasts: Insightful audio sessions featuring expert discussions and real-world cases.
• Audiobooks: Listen and learn anytime with convenient audio-based knowledge sharing.
• E-Books: Comprehensive digital guides offering in-depth knowledge and learning support.
• Labs: Interactive lab sessions to apply concepts and strengthen technical skills.
• Module Wise Quizzes: Interactive assessments to reinforce learning and test conceptual clarity.
• Additional Resources: Supplementary references and list of tools to deepen knowledge and practical application.

Frequently Asked Questions:

• Q: What is the AI+ Prompt Engineer Level 2™ Certification about?
  A: This course dives into advanced prompt engineering techniques for AI models, focusing on optimizing prompts for better AI responses.
• Q: Who should take this course?
  A: AI developers, data scientists, and content creators who have completed basic prompt engineering courses and want to advance their skills.
• Q: What advanced techniques will I learn?
  A: You’ll explore advanced techniques like few-shot prompting, chain-of-thought prompting, and AI prompt optimization for complex models.
• Q: What industries benefit from this knowledge?
  A: Industries like AI development, content creation, and AI research benefit from better prompt engineering.
• Q: What kind of projects will I work on?
  A: You will work on projects that include optimizing AI-generated content and enhancing AI tools for business applications.

Certificate Features:

• High-Quality Video, E-book & Audiobook
• Modules Quizzes
• AI Mentor
• Access for Tablet & Phone
• Online Proctored Exam with One Free Retake
• LABs Practices