AI+ Prompt Engineer Level 2™
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.
Prerequisites
- Familiarity with at least one programming language (Python recommended).
- Basic knowledge of RESTful services and API interactions.
- Basic understanding of AI concepts and language models.
- 1.1 Overview of Prompt Engineering
- 1.2 Basics of API Interaction
- 1.3 Understanding Prompt Structures
- 1.4 Case Studies and Best Practices
- 1.5 Hands-on Exercise
- 2.1 Designing Advanced Prompt Techniques
- 2.2 Designing Multi-Turn Interactions
- 2.3 Contextual and Conditional Prompting
- 2.4 Crafting Domain-Specific Prompts
- 2.5 Contextual and Stateful Prompt Engineering
- 2.6 Meta-Prompting and Autonomous Refinement
- 2.7 Hands-on Exercise
- 3.1 Automated Prompt Optimization Tools
- 3.2 A/B Testing and Evaluation
- 3.3 Reinforcement Learning for Prompt Engineering
- 4.1 Contextual and Role-Based Prompting
- 4.2 Adaptive and Multimodal Prompting
- 5.1 Integrating with Popular Development Tools for Prompt
Engineering - 5.2 Code Repositories and Templates for Prompt
Engineering - 5.3 Developer Communities and Forums for Prompt
Engineering - 5.4 Version Control in Prompt Engineering Projects
- 6.1 Natural Language Processing (NLP) Applications using
Prompt Engineering - 6.2 Business Applications using Prompt Engineering
- 6.3 Creative Applications using Prompt Engineering
- 7.1 Project 1: AI-Driven Customer Support
- 7.2 Project 2: Personalized Content Generation
- 7.3 Project 3: AI in Data Analysis
- 1. What Are AI Agents
- 2. Applications and Trends of AI Agents for Prompt Engineers
- 3. Importance of AI Agents
- 4. Types of AI Agents
ChatGPT
LangChain
BetterPrompt
GitHub Copilot
Passing Score : 70%
Number of Multiple Choice Question : 50 MCQs, 90 Minutes
Number of exams required for certification : 1
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%
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.
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.
FAQ
What is the AI+ Prompt Engineer Level 2™ Certification about?
This course dives into advanced prompt engineering techniques for AI models, focusing on optimizing prompts for better AI responses.
Who should take this course?
AI developers, data scientists, and content creators who have completed basic prompt engineering courses and want to advance their skills.
What advanced techniques will I learn?
You’ll explore advanced techniques like few-shot prompting, chain-of-thought prompting, and AI prompt optimization for complex models.
What industries benefit from this knowledge?
Industries like AI development, content creation, and AI research benefit from better prompt engineering.
What kind of projects will I work on?
You will work on projects that include optimizing AI-generated content and enhancing AI tools for business applications.
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