Categories GenAI

AI+ Prompt Engineer Level 1™

  • Master AI Prompts: Elevate Your Engineering Skills

$144.99

Intermediate
AI+ Prompt Engineer Level 1.
40h
1 Year.
$144.99
Training 5 or more people?

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
  • 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-4 and DALL-E 2.
  • Ethical AI Practices: Learn about AI ethics, including data security, privacy, and regulatory compliance to ensure responsible AI use.

Course Curriculum

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

Learning Objectives

  • The AI+ Prompt Engineer Level 1 Certification Program introduces learners from diverse backgrounds and levels of expertise to the fundamental principles of artificial intelligence and prompts engineering.
  • Covering the history, concepts, and applications of AI, machine learning, deep learning, neural networks, and natural language processing, the program also delves into best practices for designing effective prompts that harness the capabilities of AI models to their fullest potential.
  • Through a combination of theoretical instruction and practical exercises, including project-based learning sessions, participants acquire the skills needed to create and utilize prompts across various domains and objectives.

Resource Center

  • Videos, Use cases, Workshops, E-books and tools.

Target Audience

  • Research Scientists.
  • Data Scientists & Analysts.
  • Developers & Programmers.
  • Business Leaders & Strategists.
  • Machine Learning Engineers.

Job Roles & Industry Outlook 

Interaction Designer
Focuses on designing the user experience (UX) by creating intuitive interactions between users and Al systems.
User Experience Engineer
UX Engineers specialize in creating Al systems that prioritize user experience.
Communication Developer
Communication Developers focus on building Al-driven systems that support communication tasks, such as chatbots or virtual assistants.
Prompt Engineer
Specializes in designing and optimizing Al prompts to improve model performance.

Exam Information

Duration
90 minutes
Passing Score
70% (35/50)
Format
50 multiple-choice/multiple-response questions
Delivery Method
Online via proctored exam platform (flexible scheduling)
Fees include
One year of access to course content, including continuous updates. Certification exam. One exam re-take.

Exam Blueprint:

Foundations of Artificial Intelligence (AI) and Prompt Engineering – 11%
Principles of Effective Prompting – 15%
Introduction to AI Tools and Models – 15%
Mastering Prompt Engineering Techniques – 20%
Mastering Image Model Techniques – 15%
Project-Based Learning Session – 12%
Ethical Considerations and Future of AI – 12%

Explore our Schedules

Sep 20 - Sep 24
GMT 09:00 AM - 05:00 PM
In-person
Doha
880.5$
5 Days
Jun 15 - Jun 28
GMT 06:00 PM- 10:00 PM
LVT
Zoom
643.2$
10 Days
Nov 8 - Nov 19
GMT 06:00 PM- 10:00 PM
LVT
Zoom
643.2$
6 Days

Certificate of Completion

AI+ Prompt Engineer Level 1.

$144.99

Intermediate
AI+ Prompt Engineer Level 1.
40h
1 Year.
$144.99
Training 5 or more people?

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