AI+ Prompt Engineer Level 2™

Course code: AC1302

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.

Price of the certification exam is included in the price of the course.

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Course dates

Starting date: Upon request

Type: Self-paced

Course duration: 40 hours

Language: en

Price without VAT: 445 EUR

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Course description

Master Advanced AI Prompting:

The AI+ Prompt Engineer Level 2™ certification teaches developers to craft and optimize AI prompts for various applications.

In-demand Expertise:

As AI adoption grows, businesses seek professionals skilled in integrating prompt engineering into AI solutions.

Driving AI Innovation:

This certification helps professionals create impactful AI-driven solutions through effective prompt engineering.

Lead AI Development:

Certified Prompt Engineers enhance AI performance and contribute to innovative applications across industries.

Competitive Advantage:

With increasing demand for skilled prompt engineers, this certification boosts your career prospects in the AI field.

  • ChatGPT
  • LangChain
  • BetterPrompt
  • GitHub Copilot

Target group

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.

Course structure

Module 1: Introduction to Prompt Engineering for Developers

  1. 1.1 Overview of Prompt Engineering
  2. 1.2 Basics of API Interaction
  3. 1.3 Understanding Prompt Structures
  4. 1.4 Case Studies and Best Practices
  5. 1.5 Hands-on Exercise

Module 2: Advanced Prompt Design and Engineering

  1. 2.1 Designing Advanced Prompt Techniques
  2. 2.2 Designing Multi-Turn Interactions
  3. 2.3 Contextual and Conditional Prompting
  4. 2.4 Crafting Domain-Specific Prompts
  5. 2.5 Contextual and Stateful Prompt Engineering
  6. 2.6 Meta-Prompting and Autonomous Refinement
  7. 2.7 Hands-on Exercise

Module 3: Experimentation and Optimization

  1. 3.1 Automated Prompt Optimization Tools
  2. 3.2 A/B Testing and Evaluation
  3. 3.3 Reinforcement Learning for Prompt Engineering

Module 4: Designing Advanced Strategies for Prompt Engineering

  1. 4.1 Contextual and Role-Based Prompting
  2. 4.2 Adaptive and Multimodal Prompting

Module 5: Integration with Development Tools

  1. 5.1 Integrating with Popular Development Tools for Prompt
    Engineering
  2. 5.2 Code Repositories and Templates for Prompt
    Engineering
  3. 5.3 Developer Communities and Forums for Prompt
    Engineering
  4. 5.4 Version Control in Prompt Engineering Projects

Module 6: Applications of Prompt Engineering in Various Domains

  1. 6.1 Natural Language Processing (NLP) Applications using
    Prompt Engineering
  2. 6.2 Business Applications using Prompt Engineering
  3. 6.3 Creative Applications using Prompt Engineering

Module 7: Project-Based Learning: Real-World AI Projects Using Prompt Engineering

  1. 7.1 Project 1: AI-Driven Customer Support
  2. 7.2 Project 2: Personalized Content Generation
  3. 7.3 Project 3: AI in Data Analysis

Optional Module: AI Agents for Prompt Engineering

  1. 1. What Are AI Agents
  2. 2. Applications and Trends of AI Agents for Prompt Engineers
  3. 3. Importance of AI Agents
  4. 4. Types of AI Agents

Prerequisites

Prerequisites Basic understanding of AI concepts, RESTful services, Python familiarity,

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Certification

Exam Format 50 questions, 70% passing, 90 minutes, online proctored exam

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