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AI+ Prompt Engineer Level 2

SS Course: 9000589

Course Overview

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The AI+ Prompt Engineer : Level 2 course explores advanced strategies for prompt engineering, including multi-turn interactions, contextual techniques, and optimization tools. Participants gain a deep understanding of creating effective, domain-specific prompts while integrating them into cutting-edge AI applications. The course bridges theoretical knowledge with practical applications in AI development.                                                                  

Scheduled Classes

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08/11/25 - NVT - Virtual Classroom - Live Virtual (click to enroll)
09/08/25 - NVT - Virtual Classroom - Live Virtual (click to enroll)
10/20/25 - NVT - Virtual Classroom - Live Virtual (click to enroll)
11/03/25 - NVT - Virtual Classroom - Live Virtual (click to enroll)

What You'll Learn

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  • Analyze and apply effective principles for crafting and optimizing prompts.
  • Design advanced prompts for multi-turn interactions, contextual/conditional scenarios, and domain-specific use cases.
  • Implement stateful and role-based prompt engineering strategies for adaptive and impactful AI solutions.
  • Leverage meta-prompting and autonomous refinement techniques to enhance AI-driven interactions.
  • Optimize prompts using automated tools, A/B testing, and reinforcement learning approaches.
  • Seamlessly integrate prompts with development tools, repositories, and version control systems.
  • Explore innovative applications of prompt engineering across domains such as NLP, business, and creative industries.
  • Solve real-world challenges through hands-on projects in AI-driven customer support, personalized content creation, and data analysis.

Outline

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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
 
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
 
Experimentation and Optimization
  • Automated Prompt Optimization Tools
  • A/B Testing and Evaluation
  • Reinforcement Learning for Prompt Engineering
 
Designing Advanced Strategies for Prompt Engineering
  • Contextual and Role-Based Prompting
  • Adaptive and Multimodal Prompting
 
Integration with Development Tools
  • Integrating with Popular Development Tools for Prompt Engineering
  • Code Repositories and Templates for Prompt Engineering
  • Developer Communities and Forums for Prompt Engineering
  • Version Control in Prompt Engineering Projects

Prerequisites

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Required

  • Basic knowledge of RESTful services and API interactions.
  • Basic understanding of AI concepts and language models.

Recommended

  • Familiarity with at least one programming language (Python recommended).

    Who Should Attend

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    • AI Engineer
    • IT Professional

    Next Step Courses

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