AI+ Prompt Engineer Level 2™ - eLearning (exam included)
448,00 EUR
- 40 hours
The AI+ Prompt Engineer Level 2 Certification equips developers with advanced skills in prompt engineering, focusing on optimizing AI model outputs and improving performance across diverse projects. You’ll master techniques for API integration, effective prompt creation, and real-time dynamic adjustments with tools like LangChain. Advanced topics include contextual and stateful prompts, meta-prompting, and domain-specific designs—ensuring adaptability and precision in AI-driven solutions.
Key Features
Language
Course and material in English
Level
Advanced level (Category: AI+ Technical)
1 year platform access
and Virtual Hands-on Lab included
40 hours of video lessons & multimedia
50 hours of study time recommendation
Material
Video, PDF Material, audio eBook, Podcasts, quizzes and assessments.
Exam
Online Proctored Exam with One Free Retake
Certificate
Certification of completion included. Valid for 1 year
Tools You’ll Master
ChatGPT, LangChain, BetterPrompt, GitHub Copilot

About the course
Master Advanced Skills for AI Prompting
- Prompt Expertise: Learn to craft, refine, and optimize prompts for diverse AI applications.
- Practical Experience: Get hands-on practice with advanced tools for prompt integration.
- Real-World Application: Apply AI-driven prompts to solve practical challenges.
- Comprehensive Curriculum: Focus on experimentation, project work, and innovation.
- Leadership Focus: Designed for professionals driving AI innovation into actionable solutions.
Through hands-on labs, case studies, and project-based learning, you’ll gain practical experience in building AI-powered applications for tasks such as code completion, debugging, and business data analysis.
By the end, you’ll be equipped with both technical and strategic expertise to drive AI innovations in fields like Natural Language Processing (NLP), business applications, and creative industries—making this certification ideal for developers seeking to advance in AI technologies.
Why This Certification Matters
Learn to design and optimize AI prompts for diverse applications.

Learning Outcomes
At the end of this course, you will be able to:
Prompt Design and Optimization
Learn to craft, refine, and tailor prompts for optimal AI performance across applications.
Integration with Development Tools
Gain expertise in connecting workflows with APIs and advanced development frameworks
Advanced Prompt Engineering Techniques
Master cutting-edge strategies to enhance AI model outputs and solve complex problems
Practical Applications and Projects
Apply your skills to real-world business scenarios through hands-on AI projects.
Course timeline

Introduction to Prompt Engineering for Developers
Lesson 1
- 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
Advanced Prompt Design and Engineering
Lesson 2
- 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
Experimentation and Optimization
Lesson 3
- 3.1 Automated Prompt Optimization Tools
- 3.2 A/B Testing and Evaluation
- 3.3 Reinforcement Learning for Prompt Engineering
Designing Advanced Strategies for Prompt Engineering
Lesson 4
- 4.1 Contextual and Role-Based Prompting
- 4.2 Adaptive and Multimodal Prompting
Integration with Development Tools
Lesson 5
- 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
Applications of Prompt Engineering in Various Domains
Lesson 6
- 6.1 Natural Language Processing (NLP) Applications using Prompt Engineering
- 6.2 Business Applications using Prompt Engineering
- 6.3 Creative Applications using Prompt Engineering
Project-Based Learning: Real-World AI Projects Using Prompt Engineering
Lesson 7
- 7.1 Project 1: AI-Driven Customer Support
- 7.2 Project 2: Personalized Content Generation
- 7.3 Project 3: AI in Data Analysis
AI Agents for Prompt Engineering
Optional Module
- 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

Who Should Enroll in this Program?
AI Developers: Improve prompt engineering and AI application performance.
Machine Learning Enthusiasts: Fine-tune models using advanced prompting techniques.
Tech Professionals: Apply prompt engineering to enhance AI solutions.
AI Researchers: Master advanced prompt techniques for practical AI use.
Industry Growth
Advancing Human-AI Interaction
- The prompt engineering market is expanding rapidly, projected at $222.1M in 2023 with a CAGR of 32.8% through 2030 (McKinsey).
- Create AI prompts to optimize model responses and enhance interaction quality.
- Use advanced prompting to fine-tune AI models for better performance and personalization.
- Improve AI efficiency in NLP and machine learning through prompt engineering.
- Growing demand for prompt engineers is driving high-paying global career opportunities.
More Details
Prerequisites
- Experience with at least one programming language (Python preferred).
- Basic understanding of RESTful APIs and service interactions.
- Fundamental knowledge of AI concepts and language models.
Exam Details
- Duration: 90 minutes
- Passing :70% (35/50)
- Format: 50 multiple-choice/multiple-response questions
- Delivery Method: Online via proctored exam platform (flexible scheduling)
- Language: English
Licensing and accreditation
This course is offered by AVC according to Partner Program Agreement and complies with the License Agreement requirements.
Equity Policy
AVC does not provide accommodations due to a disability or medical condition of any students. Candidates are encouraged to reach out to AVC for guidance and support throughout the accommodation process.
Frequently Asked Questions

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