AI+ Prompt Engineer Level 1™ - eLearning (exam included)
225,00 EUR
- 15 hours
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.
Key Features
Language
Course and material in English
Level
Beginner-Friendly level
Access
1 year access to the platform 24/7
6 hours of video lessons & multimedia
15 hours of study time recommendation
Material
Video, PDF Material, audio eBook, Podcasts, quizzes and assessments.
Tools You’ll Master
OpenAI’s GPT-4, LangChain
Exam
Online Proctored Exam with One Free Retake
Certificate
Certification of completion included
About the course
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.
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.
Why Choose AI Prompt Engineer Level 1™?
Build a strong foundation in AI fundamentals such as machine learning, deep learning, and NLP.
Learning Outcomes
At the end of this course, you will be able to:
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.
Course timeline
Foundations of AI and Prompt Engineering
Lesson 1
- 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
Principles of Effective Prompting
Lesson 2
- 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
Introduction to AI Tools and Models
Lesson 3
- 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
Mastering Prompt Engineering Techniques
Lesson 4
- 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
Mastering Image Model Techniques
Lesson 5
- 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
Project-Based Learning Session
Lesson 6
- 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
Ethical Considerations and Future of AI
Lesson 7
- 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
AI Agents for Prompt Engineering
Optional Module
- 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
Who Should Enroll in this Program?
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.
More Details
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
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.
Frequently Asked Questions
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