AI+ Prompt Engineer Level 1 ™ - eLearning (exam included)

AI+ Prompt Engineer Level 1™ - eLearning (exam included)

This certification delivers a solid foundation in AI and prompt engineering, covering core concepts such as machine learning, deep learning, neural networks, and natural language processing (NLP). Through hands-on training, you'll learn how to design and refine prompts to boost AI model performance and achieve accurate, relevant results.

Designed for professionals across various industries, the program blends theory with real-world application, using advanced tools like ChatGPT and DALL·E 2. It also highlights the importance of ethical AI development and offers strategic guidance for applying AI in business contexts. Become part of an innovative community and lead the way in the rapidly evolving AI landscape.

Why Choose AI Prompt Engineer Level 1™? Amplify Your AI Innovation by 10X

• In-Depth AI Understanding: Build a strong foundation in AI fundamentals such as machine learning, deep learning, and NLP.
• Expert-Level Prompt Engineering: Learn advanced techniques to create high-impact prompts and effectively resolve prompt-related challenges.
• Hands-On with Leading AI Tools: Work directly with cutting-edge technologies like GPT-4 and DALL·E 2 for text and image generation.
• Responsible AI Use: Understand key ethical considerations, including data privacy, security, and regulatory compliance, to apply AI responsibly.

Industry Expansion: Driving Innovation in AI Content and Communication

• As AI adoption grows rapidly, sectors like healthcare, finance, and retail are increasingly in need of skilled prompt engineers.
• These professionals are essential for fine-tuning AI responses, ensuring output quality, accuracy, and relevance.
• With the surge of AI-powered tools, prompt engineers are becoming pivotal in optimizing and guiding AI model performance.

Key Features

• Course and material in English
• Beginner-intermediate level
• 1 year access to the platform 24/7

• 6 hours of video lessons & multimedia resources
• 15 hours of study time recommendation
• Video, PDF Material, audio eBook, Podcasts, quizzes and assessments.
• Online Proctored Exam with One Free Retake
• Certification of completion included
• Tools You’ll Master: OpenAI’s GPT-4, LangChain

Learning Outcomes:

• AI Foundations: Learn the basics of AI, including its history, machine learning, deep learning, neural networks, NLP, and prompt engineering.
• Prompting Techniques: Master key principles for crafting clear prompts, formatting responses, using examples, evaluating output, and applying the 5 core prompting principles.
• AI Tools & Models: Get hands-on experience with tools like ChatGPT, DALL·E, and CLIP, understanding their strengths, limitations, and real-world applications.
• Prompt Engineering Methods: Explore techniques like zero-shot, few-shot, and chain-of-thought prompting to enhance model performance.
• Project-Based Learning: Apply your skills through themed projects, including planning, implementing AI methods, and reflecting on real-world outcomes.
• Ethics & Future of AI: Delve into responsible AI use by examining issues like bias, fairness, privacy, transparency, sustainability, regulations, and governance frameworks.

Target Audience

• Research Scientists: Leverage AI and prompt engineering to analyze complex data and drive scientific discovery.
• Data Scientists & Analysts: Improve model performance and extract deeper insights by mastering prompt design and optimization.
• Developers & Programmers: Learn to create and refine AI-powered applications through effective prompt engineering techniques.
• Business Leaders & Strategists: Acquire the skills to integrate AI into business processes and enhance strategic decision-making.
• Machine Learning Engineers: Expand your skillset by fine-tuning prompts to boost the efficiency and accuracy of ML models.

Pre-requisites

• Basic understanding of AI concepts and its general applications—no technical background needed.
• An open and creative mindset to brainstorm ideas and use AI tools efficiently.

Exam Details

• Duration: 90 minutes
• Passing :70% (35/50)
• Format: 50 multiple-choice/multiple-response questions
• Delivery Method: Online via proctored exam platform (flexible scheduling)
• Language: English

Course Content

Module 1: Foundations of Artificial Intelligence (AI) and Prompt Engineering

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

Module 2: Principles of Effective Prompting

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

Module 3: Introduction to AI Tools and Models

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

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

Licensing and accreditation

This course is offered by AVC according to Partner Program Agreement and complies with the License Agreement requirements.

Equity Policy

AVC does not provide accommodations due to a disability or medical condition of any students. Candidates are encouraged to reach out to AVC for guidance and support throughout the accommodation process.

FAQ

Who is the AI+ Prompt Engineer Level 1™ Certification for?

This certification is designed for learners of all backgrounds and experience levels who want to build a strong foundation in AI and prompt engineering. It’s especially valuable for AI developers, data scientists, educators, and anyone looking to unlock the full capabilities of AI models through skilled prompting techniques.

How does the certification teach effective prompting?

The program teaches core prompting principles like crafting clear instructions, structuring responses, using examples, assessing output quality, and correcting ineffective prompts. These skills are developed through hands-on activities and real-world applications.

What resources are available after completing the course?

Upon completion, you'll receive access to additional learning materials, case studies, and curated resources to help you dive deeper into AI topics and stay current with the latest developments.

How will this certification benefit my career?

Earning this certification will provide you with valuable skills applicable to fields such as AI-driven content creation, automated customer support, and enterprise-level AI optimization.

What practical exercises are part of the course?

The course includes hands-on projects where you'll use AI and prompt engineering techniques to enhance your problem-solving, communication, and teamwork skills.

How Can AVC Help Foster an AI-Ready Culture?

While AI offers significant advantages, many organizations struggle with challenges like talent gaps, complex data environments, and system integration barriers. At AVC, we understand these obstacles and have tailored our certification programs to help businesses overcome them effectively.

Our strategic approach focuses on building a culture that embraces AI adoption and innovation. Through our industry-recognized certifications and in-depth training, we equip your workforce with the skills and knowledge needed to lead your organization confidently into an AI-powered future.

Customized for Impact: Our programs aren't one-size-fits-all. We offer specialized training designed by industry experts to equip your workforce with the specific skills and knowledge needed for critical AI roles.

Practical, Real-World Learning: We prioritize hands-on experience over theory, using real-world projects and case studies. This approach ensures your team gains the confidence and capability to implement AI solutions effectively, driving innovation and measurable business outcomes.