AI+ Prompt Engineer Level 1 AC-130

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

AI+ Prompt Engineer Level 1 AC-130

Virtual Instructor Led Online Schedule

Virtual Instructor-Led Online Training

Duration

1 Day

Price

$995.00

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Virtual Instructor-Led Online Training

Duration

8 Hours (Self-Paced)

Price

$195.00

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Interested in group training?

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Schedule Course Outline

Course Schedule

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Course Outline

  • 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. 
  • Understand AI basics and how AI is used – no technical skills required.
  • Willingness to think creatively to generate ideas and use AI tools effectively.
  • Familiarity with Neural Networks
  • Basics of Natural Language Processing (NLP)
  • History and Concepts of AI
  • Designing Effective AI Prompts
  • Practical Application of Prompt Engineering
  • Project-Based Learning in AI Prompting
  1. 1.1 Introduction to Artificial Intelligence
  2. 1.2 History of AI
  3. 1.3 Machine Learning Basics
  4. 1.4 Deep Learning and Neural Networks
  5. 1.5 Natural Language Processing (NLP)
  6. 1.6 Prompt Engineering Fundamentals
  1. 2.1 Introduction to the Principles of Effective Prompting
  2. 2.2 Giving Directions
  3. 2.3 Formatting Responses
  4. 2.4 Providing Examples
  5. 2.5 Evaluating Response Quality
  6. 2.6 Dividing Labor
  7. 2.7 Applying The Five Principles
  8. 2.8 Fixing Failing Prompts
  1. 3.1 Understanding AI Tools and Models
  2. 3.2 Deep Dive into ChatGPT
  3. 3.3 Exploring GPT-4
  4. 3.4 Revolutionizing Art with DALL-E 2
  5. 3.5 Introduction to Emerging Tools using GPT
  6. 3.6 Specialized AI Models
  7. 3.7 Advanced AI Models
  8. 3.8 Google AI Innovations
  9. 3.9 Comparative Analysis of AI Tools
  10. 3.10 Practical Application Scenarios
  11. 3.11 Harnessing AI’s Potential
  1. 4.1 Zero-Shot Prompting
  2. 4.2 Few-Shot Prompting
  3. 4.3 Chain-of-Thought Prompting
  4. 4.4 Ensuring Self-Consistency in AI Responses
  5. 4.5 Generate Knowledge Prompting
  6. 4.6 Prompt Chaining
  7. 4.7 Tree of Thoughts: Exploring Multiple Solutions
  8. 4.8 Retrieval Augmented Generation
  9. 4.9 Graph Prompting and Advanced Data Interpretation
  10. 4.10 Application in Practice: Real-Life Scenarios
  11. 4.11 Practical Exercises
  1. 5.1 Introduction to Image Models
  2. 5.2 Understanding Image Generation
  3. 5.3 Style Modifiers and Quality Boosters in Image Generation
  4. 5.4 Advanced Prompt Engineering in AI Image Generation
  5. 5.5 Prompt Rewriting for Image Models
  6. 5.6 Image Modification Techniques: Inpainting and Outpainting
  7. 5.7 Realistic Image Generation
  8. 5.8 Realistic Models and Consistent Characters
  9. 5.9 Practical Application of Image Model Techniques
  1. 6.1 Introduction to Project-Based Learning in AI
  2. 6.2 Selecting a Project Theme
  3. 6.3 Project Planning and Design in AI
  4. 6.4 AI Implementation and Prompt Engineering
  5. 6.5 Integrating Text and Image Models
  6. 6.6 Evaluation and Integration in AI Projects
  7. 6.7 Engaging and Effective Project Presentation
  8. 6.8 Guided Project Example
  1. 7.1 Introduction to AI Ethics
  2. 7.2 Bias and Fairness in AI Models
  3. 7.3 Privacy and Data Security in AI
  4. 7.4 The Imperative for Transparency in AI Operations
  5. 7.5 Sustainable AI Development: An Imperative for the Future
  6. 7.6 Ethical Scenario Analysis in AI: Navigating the Complex Landscape
  7. 7.7 Navigating the Complex Landscape of AI Regulations and Governance
  8. 7.8 Navigating the Regulatory Landscape: A Guide for AI Practitioners
  9. 7.9 Ethical Frameworks and Guidelines in AI Development
  1. 1. What Are AI Agents
  2. 2. Applications and Trends of AI Agents for Prompt Engineers
  3. 3. How Does an AI Agent Work
  4. 4. Core Characteristics of AI Agents
  5. 5. Importance of AI Agents
  6. 6. Types of AI Agents

Virtual Instructor-Led Online Training

Duration

1 Day

Price

$995.00

Contact Us

Virtual Instructor-Led Online Training

Duration

8 Hours (Self-Paced)

Price

$195.00

Contact Us

Interested in group training?

Contact Us