AI+ Prompting Fundamentals™ eLearning

• Research Scientists: Advance your research with AI by creating and utilizing effective prompts to explore new scientific data and solve complex problems.
• Data Scientists & Analysts: Enhance your ability to optimize machine learning models by mastering prompt engineering for better data analysis and insights.
• Developers & Programmers: Learn to build, refine, and deploy AI-driven applications by creating efficient prompts for improved AI system performance.
• Business Leaders & Strategists: Gain the skills to incorporate AI solutions into business strategies, optimizing processes and decision-making.
• Machine Learning Engineers: Strengthen your expertise by learning how to fine-tune AI prompts to enhance the performance of machine learning models.

• 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 and DALLE

• Ethical AI Practices:

  Learn about AI ethics, including data security, privacy, and regulatory compliance to ensure responsible AI use.

Inhoud

• Course Introduction Preview

• 1.1 Introduction to Artificial Intelligence Preview
• 1.2 History of AI Preview
• 1.3 Machine Learning Basics Preview
• 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 PromptingPreview
• 2.2 Giving DirectionsPreview
• 2.3 Formatting ResponsesPreview
• 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 Preview
• 3.2 Deep Dive into ChatGPT Preview
• 3.3 Exploring GPT Preview
• 3.4 Revolutionizing Art with DALLE
• 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

• LangChain
• OpenAI’s GPT

Lesmethode

Instructor-led OR Self-paced course + Official exam + Digital badge

Kenmerken

Online proctored exam included, with one free retake.
Exam format:

50 questions, 70% passing, 90 minutes, online proctored exam

Access to all materials and exams is provided for 365 days after delivery.

Voorkennis

• Understand AI basics, Willingness to think creatively to generate ideas and use AI tools effectively.