AI+ Prompt Engineer Level 2™
AC-1302
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.
Why This Certification Matters
At a Glance: Course + Exam Overview
- Instructor-Led: 5 days (live or virtual)
- Self-Paced: 40 hours of content
Job Roles & Industry Outlook
AI Systems Engineer
Design and optimize data pipelines, warehouses, and systems to enable AI-driven analytics and applications.
User Experience Engineer
Design and build engaging, intuitive, and responsive digital interfaces that bring ideas to life and enhance user journeys.
Industry Growth: AI+ Prompt Engineer Level 2™
- 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.
Who Should Enroll?
- 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.
What You'll Learn
- 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
- 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
- 3.1 Automated Prompt Optimization Tools
- 3.2 A/B Testing and Evaluation
- 3.3 Reinforcement Learning for Prompt Engineering
- 4.1 Contextual and Role-Based Prompting
- 4.2 Adaptive and Multimodal Prompting
- 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
- 6.1 Natural Language Processing (NLP) Applications using
Prompt Engineering - 6.2 Business Applications using Prompt Engineering
- 6.3 Creative Applications 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
- 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
Tools You'll Explore
ChatGPT
LangChain
BetterPrompt
GitHub Copilot
Prerequisites
- Prerequisites Basic understanding of AI concepts, RESTful services, Python familiarity,
Exam Details
Duration
90 minutes
Passing Score
70% (35/50)
Format
50 multiple-choice/multiple-response questions
Delivery Method
Online via AI proctored exam platform (flexible scheduling)
Exam Blueprint
- Module 1: Introduction to Prompt Engineering for Developers - 12%
- Module 2: Advanced Prompt Design and Engineering - 12%
- Module 3: Experimentation and Optimization - 12%
- Module 4: Designing Advanced Strategies for Prompt Engineering - 12%
- Module 5: Integration with Development Tools - 13%
- Module 6: Applications of Prompt Engineering in Various Domains - 13%
- Module 7: Project-Based Learning: Real-World AI Projects Using Prompt Engineering - 13%
- Optional Module: AI Agents for Prompt Engineering - 13%
Choose the Format That Fits Your Schedule
What's Included (One-Year Subscription + All Updates):
- High-Quality Videos, E-book (PDF & Audio), and Podcasts
- AI Mentor for Personalized Guidance
- Quizzes, Assessments, and Course Resources
- Online Proctored Exam with One Free Retake
- Comprehensive Exam Study Guide
- Access for Tablet & Phone
Frequently Asked Questions
The course includes a mix of theoretical knowledge and practical applications, culminating in an interactive capstone project. This structure ensures that participants gain both conceptual understanding and hands-on experience.
This course is ideal for developers, IT professionals, and anyone with a foundational understanding of AI and cloud computing who wants to enhance their skills in integrating AI with cloud platforms like AWS, Azure, or Google Cloud.
Participants will learn to develop, deploy, and manage AI models on leading cloud platforms. Skills include optimizing AI model performance, ensuring security, meeting compliance standards, and applying AI and cloud concepts to solve real-world problems.
This certification enhances your professional profile by demonstrating proficiency in integrating AI with cloud computing. It equips you with in-demand skills, giving you a competitive edge in the job market and opening doors to lucrative career opportunities.
The certification includes an interactive capstone project where participants apply their knowledge to design and implement AI solutions within cloud environments. This project is designed to simulate real-world scenarios and challenges.