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AI+ Prompt Engineer Level 2™
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Course
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.
AVALIABLE AT COMPUNET LIMITED
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Certificate Code
AC-1302
Exam Format
AI-Driven Remote Exam Proctoring
Course Overview
Important details and certification information
Included Instructor-led OR Self-paced course + Official exam + Digital badge
Instructor-Led: 3 Days (live or virtual)
Prerequisites Basic understanding of AI concepts, RESTful services, Python familiarity,
Exam Format 50 questions, 70% passing, 90 minutes, online proctored exam
Certification Modules
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
AI Tools Covered
ChatGPT
LangChain
BetterPrompt
GitHub Copilot
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