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AI+ Prompt Engineer: Level 2 (AI+ Prompt Engineer: Level 2)

AI CERTS
5 Days
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    • T87356
    • 5 days
    • 06/09/2025 - 06/13/2025*
    • 9:00 AM
    • (GMT -05:00) Central Daylight Time
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    • T87357
    • 5 days
    • 07/07/2025 - 07/11/2025*
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    • T87358
    • 5 days
    • 08/11/2025 - 08/15/2025*
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    • T87359
    • 5 days
    • 09/08/2025 - 09/12/2025*
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    • T87360
    • 5 days
    • 10/20/2025 - 10/24/2025*
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Course Summary
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Description

The AI+ Prompt Engineer : Level 2 course focuses on advanced techniques for crafting, refining, and integrating prompts. It emphasizes creating innovative, AI-driven solutions across industries. Ideal for those aiming to excel in AI innovation.

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.

 

Objectives

  • 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.

Prerequisites

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

  • AI Engineer
  • IT Professional

Outline

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

Applications of Prompt Engineering in Various Domains

  • Natural Language Processing (NLP) Applications using Prompt Engineering
  • Business Applications using Prompt Engineering
  • Creative Applications using Prompt Engineering

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