AI+ Prompt Engineer™ Level 2 – Course Outline
Program Overview
The AI+ Prompt Engineer™ Level 2 certification is an advanced, developer-focused program designed to equip learners with professional-grade skills in prompt engineering, large language model (LLM) optimization, and AI application development. As generative AI becomes a core component of modern software systems, organizations require engineers who can design, test, optimize, and integrate high-performance prompts into scalable AI solutions.
This program focuses on advanced prompt design techniques, multi-turn conversational systems, contextual and stateful prompting, API-based AI interactions, and automation-driven prompt optimization. Participants will learn how to engineer prompts that improve accuracy, consistency, reasoning ability, and domain-specific performance of AI models.
The course also emphasizes real-world integration with development tools, version control systems, and AI APIs, enabling learners to build production-ready prompt workflows. It introduces experimentation methods such as A/B testing, reinforcement learning concepts for prompt optimization, and automated evaluation frameworks.
By the end of the program, learners will be able to design advanced prompt systems, optimize AI outputs, integrate prompts into software applications, and build intelligent AI-powered solutions across multiple domains.
Course Objectives
By the end of this program, participants will be able to:
• Understand advanced principles of prompt engineering for LLMs and AI systems
• Design structured, contextual, and multi-turn prompts for complex applications
• Integrate AI models using APIs for real-world software development
• Apply advanced prompt optimization and evaluation techniques
• Use A/B testing to compare and improve prompt performance
• Develop domain-specific prompts for business, NLP, and creative applications
• Implement contextual, role-based, and stateful prompting techniques
• Use automation tools for prompt refinement and optimization
• Integrate prompt engineering workflows into development environments
• Apply version control and collaboration practices in AI prompt projects
• Build real-world AI applications using prompt-driven architectures
• Understand AI agents and their role in modern prompt engineering systems
Target Audience
This program is designed for:
• AI developers and machine learning engineers
• Software developers and backend engineers
• Data scientists and NLP practitioners
• Prompt engineers seeking advanced-level specialization
• AI product developers and solution architects
• Full-stack developers integrating LLMs into applications
• Technical consultants working with generative AI systems
• Students and graduates in computer science or AI-related fields
• Automation engineers and API integration specialists
• Professionals transitioning into AI engineering roles
Course Duration
• Instructor-Led: 5 days (live or virtual)
• Self-Paced: 40 hours of content
Assessment
Assessment is designed to evaluate both technical understanding and applied prompt engineering capability:
• Module-based quizzes on prompt engineering concepts and techniques
• Hands-on coding exercises using APIs and LLM integrations
• Case study analysis of real-world AI prompt applications
• Prompt optimization and A/B testing assignments
• Multi-turn conversation design challenges
• Domain-specific prompt engineering tasks (business, NLP, creative AI)
• Final capstone project demonstrating an advanced AI prompt system (e.g., AI chatbot, automated content generator, intelligent assistant, or API-driven LLM application)
Certification
Upon successful completion of all assessments and the final capstone project, participants will be awarded the AI+ Prompt Engineer™ Level 2 Certification.
This certification validates the learner’s ability to design, optimize, and deploy advanced prompt engineering systems for real-world AI applications, including API integration, workflow automation, and domain-specific AI solutions.
Training Methodology
The program follows a hands-on, developer-oriented, and applied AI learning approach:
• Instructor-led virtual or classroom-based technical sessions
• Live demonstrations of prompt engineering techniques using LLM APIs
• Interactive coding labs for prompt design and optimization
• Real-world case studies of generative AI applications
• Project-based learning with iterative development cycles
• API integration exercises using industry-standard AI platforms
• A/B testing and evaluation workshops for prompt improvement
• Version control and collaborative development practices
• Continuous engagement through coding challenges, discussions, and practical assignments
Course Modules
Module 1: Introduction to Prompt Engineering for Developers
• Overview of Prompt Engineering
• Basics of API Interaction
• Understanding Prompt Structures
• Case Studies and Best Practices
• Hands-on Exercise
Module 2: Advanced Prompt Design and Engineering
• Designing Advanced Prompt Techniques
• Designing Multi-Turn Interactions
• Contextual and Conditional Prompting
• Crafting Domain-Specific Prompts
• Contextual and Stateful Prompt Engineering
• Meta-Prompting and Autonomous Refinement
• Hands-on Exercise
Module 3: Experimentation and Optimization
• Automated Prompt Optimization Tools
• A/B Testing and Evaluation
• Reinforcement Learning for Prompt Engineering
Module 4: Designing Advanced Strategies for Prompt Engineering
• Contextual and Role-Based Prompting
• Adaptive and Multimodal Prompting
Module 5: Integration with Development Tools
• Integrating Prompt Engineering with Development Tools
• Code Repositories and Templates for Prompt Engineering
• Developer Communities and Forums for Prompt Engineering
• Version Control in Prompt Engineering Projects
Module 6: Applications of Prompt Engineering in Various Domains
• NLP Applications using Prompt Engineering
• Business Applications using Prompt Engineering
• Creative Applications using Prompt Engineering
Module 7: Project-Based Learning: Real-World AI Projects Using Prompt Engineering
• Project 1: AI-Driven Customer Support
• Project 2: Personalized Content Generation
• Project 3: AI in Data Analysis
Optional Module: AI Agents for Prompt Engineering
• What Are AI Agents
• Applications and Trends of AI Agents for Prompt Engineers
• Importance of AI Agents
• Types of AI Agents
