What’s Included?
High-Quality Video, E-book & Audiobook
Modules Quizzes
AI Mentor
Access for Tablet & Phone
Online Proctored Exam with One Free Retake
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.
Self Study Materials Included
Videos
Engaging visual content to enhance understanding and learning experience.
Podcasts
Insightful audio sessions featuring expert discussions and real-world cases.
Audiobooks
Listen and learn anytime with convenient audio-based knowledge sharing.
E-Books
Comprehensive digital guides offering in-depth knowledge and learning support.
Module Wise Quizzes
Interactive assessments to reinforce learning and test conceptual clarity.
Additional Resources
Supplementary references and list of tools to deepen knowledge and practical application.
Tools You’ll Master
LangChain
OpenAI's GPT-4
What You’ll Learn
Foundations of Artificial Intelligence (AI) and Prompt Engineering
Introduction to AI, its history, machine learning basics, deep learning, neural networks, and NLP.
Principles of Effective Prompting
Learn the essential principles of effective prompting, including giving directions, formatting responses.
Introduction to AI Tools and Models
Explore AI tools like ChatGPT, GPT-4, DALL-E 2, and specialized models, as well as understanding their practical applications.
Mastering Prompt Engineering Techniques
Focus on advanced prompting techniques such as zero-shot, few-shot, chain-of-thought, prompt chaining.
Mastering Image Model Techniques
Study the use of image models, style modifiers, image generation techniques, and practical applications.
Project-Based Learning Session
Engage in hands-on projects to apply AI concepts, select themes, design AI projects, integrate text and image models.
Ethical Considerations and Future of AI
Understand AI ethics, bias and fairness in models, privacy concerns, data security, transparency in AI.
Course Modules
Course Overview
- Course Introduction Preview
Module 1: Foundations of Artificial Intelligence (AI) and Prompt Engineering
Module 2: Principles of Effective Prompting
Module 3: Introduction to AI Tools and Models
- 3.1 Understanding AI Tools and Models Preview
- 3.2 Deep Dive into ChatGPT Preview
- 3.3 Exploring GPT-4 Preview
- 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
Module 4: Mastering Prompt Engineering Techniques
- 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
Module 5: Mastering Image Model Techniques
- 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
Module 6: Project-Based Learning Session
- 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
Module 7: Ethical Considerations and Future of AI
- 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
Optional Module: AI Agents for Prompt Engineering
- 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
Frequently Asked Questions
The course combines theoretical instruction with practical exercises and project-based learning sessions. This structure helps participants gain both conceptual knowledge and hands-on experience.
This certification is suitable for individuals from diverse backgrounds and levels of expertise who want to gain a comprehensive understanding of AI and prompt engineering. It is ideal for AI developers, data scientists, educators, and anyone interested in harnessing the full potential of AI models through effective prompting.
The certification covers principles of effective prompting, such as giving clear directions, formatting responses, providing examples, evaluating response quality, and fixing failing prompts. Participants will learn to apply these principles through practical exercises and real-life scenarios.
Completing the certification will equip you with essential skills in industries like AI content generation, customer support automation, and enterprise AI optimization.
You will apply AI and prompt engineering skills to various projects, improving your problem-solving, communication, and collaboration abilities.