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AI+ Prompting Practitioner™

Course code: NPAC1302

Formerly known as AI+ Prompt Engineer Level 2™

Mastering Advanced Techniques for Effective AI Prompting

Formerly known as 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.
75 EUR

91 EUR including VAT

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Course dates

Starting date: Upon request

Guaranteed

Type: Self-paced

Course duration: 40 hours

Language: en

Price without VAT: 285 EUR

Register

Starting date: Upon request

Guaranteed

Type: Self-paced

Course duration: 40 hours

Language: en

Price without VAT: 75 EUR

Register

Starting
date		 Place
Type Course
duration		 Language Price without VAT
G Upon request Self-paced 40 hours en 285 EUR Register
G Upon request Self-paced 40 hours en 75 EUR Register
G Guaranteed course

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Course description

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.

Course structure

Module 1: Introduction to Prompt Engineering for Developers

  • 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

Module 2: Advanced Prompt Design and Engineering

  • 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

Module 3: Experimentation and Optimization

  • 3.1 Automated Prompt Optimization Tools
  • 3.2 A/B Testing and Evaluation
  • 3.3 Reinforcement Learning for Prompt Engineering

Module 4: Designing Advanced Strategies for Prompt Engineering

  • 4.1 Contextual and Role-Based Prompting
  • 4.2 Adaptive and Multimodal Prompting

Module 5: Integration with Development Tools

  • 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

Module 6: Applications of Prompt Engineering in Various Domains

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

Module 7: Project-Based Learning: Real-World AI Projects 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

Optional Module: AI Agents for Prompt Engineering

  • 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

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.

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