AI+ Prompt Engineer Level 1TM
A practical course that builds foundational AI knowledge and hands-on prompting skills, preparing learners to design effective, industry-ready AI solutions.
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
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.
Course Delivery Options
The AI+ Prompt Engineer Level 1™ self-paced course includes:
1. 8 hours of on-demand videos, an e-book, and podcasts.
2. Modular quizzes to help learners monitor their progress.
The course allows learners to study at their own pace. After completing the course, learners can take the certification exam online through a secure remote-proctored system.
Why This Certification Matters?
- Comprehensive AI Knowledge: Understand AI fundamentals, including machine learning, deep learning, and natural language processing.
- Advanced Prompt Engineering: Master key principles and advanced techniques to craft effective prompts and troubleshoot issues.
- Practical AI Tools and Models: Gain hands-on experience with cutting-edge AI tools, text, and image generation models like GPT-4 and DALL-E 2.
- Ethical AI Practices: Learn about AI ethics, including data security, privacy, and regulatory compliance to ensure responsible AI use.
AI+ Prompt Engineer Level 1TM
A practical course that builds foundational AI knowledge and hands-on prompting skills, preparing learners to design effective, industry-ready AI solutions.
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
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.
Course Delivery Options
The AI+ Prompt Engineer Level 1™ self-paced course includes:
1. 8 hours of on-demand videos, an e-book, and podcasts.
2. Modular quizzes to help learners monitor their progress.
The course allows learners to study at their own pace. After completing the course, learners can take the certification exam online through a secure remote-proctored system.
AI+ Prompt Engineer Level 1TM
A practical course that builds foundational AI knowledge and hands-on prompting skills, preparing learners to design effective, industry-ready AI solutions.
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
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.
The AI+ Prompt Engineer Level 1™ self-paced course includes:
1. 8 hours of on-demand videos, an e-book, and podcasts.
2. Modular quizzes to help learners monitor their progress.
The course allows learners to study at their own pace. After completing the course, learners can take the certification exam online through a secure remote-proctored system.
Why This Certification Matters?
- Comprehensive AI Knowledge: Understand AI fundamentals, including machine learning, deep learning, and natural language processing.
- Advanced Prompt Engineering: Master key principles and advanced techniques to craft effective prompts and troubleshoot issues.
- Practical AI Tools and Models: Gain hands-on experience with cutting-edge AI tools, text, and image generation models like GPT-4 and DALL-E 2.
- Advancing AI Education & Career Growth: As AI continues to transform industries, this certification equips educators to stay ahead, ensuring they are prepared to guide the next generation of AI professionals.
What You'll Learn?
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-4
3.4 Revolutionizing Art with DALL-E 2
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
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
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
1. What Are AI Agents
2. Applications and Trends of AI Agents for Prompt Engineers
3. How Does an AI Agent Work
4. Core Characteristics of AI Agents
5. Importance of AI Agents
6. Types of AI Agents
Job Roles & Industry Outlook
What You'll Learn?
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-4
3.4 Revolutionizing Art with DALL-E 2
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
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
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
1. What Are AI Agents
2. Applications and Trends of AI Agents for Prompt Engineers
3. How Does an AI Agent Work
4. Core Characteristics of AI Agents
5. Importance of AI Agents
6. Types of AI Agents
Job Roles & Industry Outlook
Interaction Designer
Focuses un designing the user experience (UX) by creating intuitive interactions between users and AI systems.
User Experience Engineer
UX Engineers specialize in creating AI systems that prioritize user experience.
Communication Developer
Focus in building AI-driven systems that support communication tasks such as chatbots or virtual assistants.
Training Manager
Specializes in designing and optimizing AI prompts to improve model performance.
Interaction Designer
Focuses in designing the user experience (UX) by creating intuitive interactions between users and AI systems.
User Experience Engineer
UX Engineers specialize in creating AI systems that prioritize user experience.
Communication Developer
Focus on building AI-driven systems that support communication tasks such as chatbots or virtual assistants,
Training Manager
Specializes in designing and optimizing AI prompts to improve model performance
Tools You’ll Master
Tools You’ll Master
Exam Details
Exam Details
Duration
Passing Score
Format
Delivery Method
(flexible scheduling)
Duration
Passing Score
Format
Delivery Method
Exam Blueprint
What's Included
- 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
(One-Year Subscription + All Updates)
Exam Blueprint
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