The course provided me with a solid understanding of IT service desk operations and troubleshooting techniques. It has improved my ability to handle user issues with confidence and professionalism.
AI+ Prompting Fundamentals™
AC-130
Formerly known as AI+ Prompt Engineer Level 1™
Master AI Prompts: Elevate Your Engineering Skills
Foundational Knowledge: Covers generative AI, ML, NLP, and neural networks essentials
Hands-on Learning: Offers practical training in designing and optimizing prompts
Industry-Relevant Skills: Prepares learners to build effective AI solutions across sectors
Prompting Expertise: Certifies participants to craft impactful, domain-specific prompts
- High-Quality Video, E-book & Audiobook
- Modules Quizzes
- AI Mentor
- Access for Tablet & Phone
- Online Proctored Exam with One Free Retake
- Hands-on Practices
Why This Certification Matters
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Comprehensive AI Knowledge: Understand AI fundamentals, including machine learning, deep learning, and natural language processing.
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Advanced Prompt Engineering: Master key principles and advanced techniques to craft effective prompts and troubleshoot issues.
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Practical AI Tools and Models: Gain hands-on experience with cutting-edge AI tools, text, and image generation models like GPT and DALL-E
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Ethical AI Practices: Learn about AI ethics, including data security, privacy, and regulatory compliance to ensure responsible AI use.
At a Glance: Course + Exam Overview
Program Name
AI+ Prompting Fundamentals™
Included
Instructor-led OR Self-paced course + Official exam + Digital badge
Prerequisites
Understand AI basics, Willingness to think creatively to generate ideas and use AI tools effectively.
Exam Format
50 questions, 70% passing, 90 minutes, online proctored exam
Delivery
Online labs, projects, case studies
Outcome
Industry-recognized credential + hands-on experience
Who Should Enroll?
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Research Scientists: Advance your research with AI by creating and utilizing effective prompts to explore new scientific data and solve complex problems.
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Data Scientists & Analysts: Enhance your ability to optimize machine learning models by mastering prompt engineering for better data analysis and insights.
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Developers & Programmers: Learn to build, refine, and deploy AI-driven applications by creating efficient prompts for improved AI system performance.
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Business Leaders & Strategists: Gain the skills to incorporate AI solutions into business strategies, optimizing processes and decision-making.
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Machine Learning Engineers: Strengthen your expertise by learning how to fine-tune AI prompts to enhance the performance of machine learning models.
Skills You'll Gain
Familiarity with Neural NetworksBasics of Natural Language Processing (NLP)History and Concepts of AIDesigning Effective AI PromptsPractical Application of Prompt EngineeringProject-Based Learning in AI Prompting
What You'll Learn
- Foundational Knowledge: Covers generative AI, ML, NLP, and neural networks essentials
- Hands-on Learning: Offers practical training in designing and optimizing prompts
- Industry-Relevant Skills: Prepares learners to build effective AI solutions across sectors
- Prompting Expertise: Certifies participants to craft impactful, domain-specific prompts
- 1.1 Introduction to Artificial Intelligence
- 1.2 History of AI
- 1.3 Machine Learning Basics
- 1.4 Deep Learning and Neural Networks
- 1.5 Natural Language Processing (NLP)
- 1.6 Prompt Engineering Fundamentals
- 2.1 Introduction to the Principles of Effective Prompting
- 2.2 Giving Directions
- 2.3 Formatting Responses
- 2.4 Providing Examples
- 2.5 Evaluating Response Quality
- 2.6 Dividing Labor
- 2.7 Applying The Five Principles
- 2.8 Fixing Failing Prompts
- 3.1 Understanding AI Tools and Models
- 3.2 Deep Dive into ChatGPT
- 3.3 Exploring GPT
- 3.4 Revolutionizing Art with DALL-E
- 3.5 Introduction to Emerging Tools using GPT
- 3.6 Specialized AI Models
- 3.7 Advanced AI Models
- 3.8 Google AI Innovations
- 3.9 Comparative Analysis of AI Tools
- 3.10 Practical Application Scenarios
- 3.11 Harnessing AI's Potential
- 4.1 Zero-Shot Prompting
- 4.2 Few-Shot Prompting
- 4.3 Chain-of-Thought Prompting
- 4.4 Ensuring Self-Consistency in AI Responses
- 4.5 Generate Knowledge Prompting
- 4.6 Prompt Chaining
- 4.7 Tree of Thoughts: Exploring Multiple Solutions
- 4.8 Retrieval Augmented Generation
- 4.9 Graph Prompting and Advanced Data Interpretation
- 4.10 Application in Practice: Real-Life Scenarios
- 4.11 Practical Exercises
- 5.1 Introduction to Image Models
- 5.2 Understanding Image Generation
- 5.3 Style Modifiers and Quality Boosters in Image Generation
- 5.4 Advanced Prompt Engineering in AI Image Generation
- 5.5 Prompt Rewriting for Image Models
- 5.6 Image Modification Techniques: Inpainting and Outpainting
- 5.7 Realistic Image Generation
- 5.8 Realistic Models and Consistent Characters
- 5.9 Practical Application of Image Model Techniques
- 5.10 Ethical and Legal Dimensions of AI-Generated Images
- 6.1 Introduction to Project-Based Learning in AI
- 6.2 Selecting a Project Theme
- 6.3 Project Planning and Design in AI
- 6.4 AI Implementation and Prompt Engineering
- 6.5 Integrating Text and Image Models
- 6.6 Evaluation and Integration in AI Projects
- 6.7 Engaging and Effective Project Presentation
- 6.8 Guided Project Example
- 6.9 Sample Projects and Evaluation Framework
- 7.1 Introduction to AI Ethics
- 7.2 Bias and Fairness in AI Models
- 7.3 Privacy and Data Security in AI
- 7.4 The Imperative for Transparency in AI Operations
- 7.5 Sustainable AI Development: An Imperative for the Future
- 7.6 Ethical Scenario Analysis in AI: Navigating the Complex Landscape
- 7.7 Navigating the Complex Landscape of AI Regulations and Governance
- 7.8 Navigating the Regulatory Landscape: A Guide for AI Practitioners
- 7.9 Ethical Frameworks and Guidelines in AI Development
- 7.10 Future of AI Governance and Responsible Innovation
- What Are AI Agents
- Applications and Trends of AI Agents for Prompt Engineers
- How Does an AI Agent Work
- Core Characteristics of AI Agents
- Importance of AI Agents
- Types of AI Agents
Tools You'll Master
Prerequisites
- Understand AI basics and how AI is used – no technical skills required
- Willingness to think creatively to generate ideas and use AI tools effectively
Exam Details
Duration
90 minutes
Passing Score
70% (35/50)
Format
50 multiple-choice/multiple-response questions
Delivery Method
Online via proctored exam platform (flexible scheduling)
Exam Blueprint:
- Foundations of Artificial Intelligence (AI) and Prompt Engineering – 8%
- Principles of Effective Prompting – 16%
- Introduction to AI Tools and Models – 16%
- Mastering Prompt Engineering Techniques – 15%
- Mastering Image Model Techniques – 15%
- Project-Based Learning Session – 15%
- Ethical Considerations and Future of AI – 15%
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
Instructor-Led (Live Virtual/Classroom)
- 1 day (live or virtual) Self-Paced: 8 hours of content
- Real-time Q&A, peer collaboration, and hands-on labs
- Led by AI Certified Trainers and delivered through Authorized Training Partners
Self-Paced Online
- 8 hours of content
- Learn anywhere, anytime, with modular quizzes to track progress
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