TBA
The AI Prompt Engineer Level 2 certification is tailored for developers and professionals seeking to excel in advanced prompt engineering methodologies. This program equips learners with expertise in designing, refining, and optimizing prompts for diverse AI applications. By mastering integration with advanced development tools, participants gain hands-on experience in leveraging AI-driven solutions to solve real-world challenges effectively. The curriculum emphasizes advanced strategies, experimentation, and project execution, ensuring proficiency in crafting impactful AI systems. Learners will explore innovative solutions to enhance AI outputs, making this certification a perfect fit for professionals aiming to bridge the gap between AI innovation and application. With this course, become a leader in the transformative landscape of prompt engineering and AI advancements.
AI developers, data scientists, and content creators who have completed basic prompt engineering courses and want to advance their skills.
Module 1: Introduction to Prompt Engineering for Developers
1.1 Overview of Prompt Engineering
1.2 Basics of API Interaction
1.3 Understanding Prompt Structures
1.4 Case Studies and Best Practices
1.5 Hands-on Exercise
Module 2: Advanced Prompt Design and Engineering
2.1 Designing Advanced Prompt Techniques
2.2 Designing Multi-Turn Interactions
2.3 Contextual and Conditional Prompting
2.4 Crafting Domain-Specific Prompts
2.5 Contextual and Stateful Prompt Engineering
2.6 Meta-Prompting and Autonomous Refinement
2.7 Hands-on Exercise
Module 3: Experimentation and Optimization
3.1 Automated Prompt Optimization Tools
3.2 A/B Testing and Evaluation
3.3 Reinforcement Learning for Prompt Engineering
Module 4: Designing Advanced Strategies for Prompt Engineering
4.1 Contextual and Role-Based Prompting
4.2 Adaptive and Multimodal Prompting
Module 5: Integration with Development Tools
5.1 Integrating with Popular Development Tools for Prompt
Engineering
5.2 Code Repositories and Templates for Prompt
Engineering
5.3 Developer Communities and Forums for Prompt
Engineering
5.4 Version Control in Prompt Engineering Projects
Module 6: Applications of Prompt Engineering in Various Domains
6.1 Natural Language Processing (NLP) Applications using
Prompt Engineering
6.2 Business Applications using Prompt Engineering
6.3 Creative Applications using Prompt Engineering
Module 7: Project-Based Learning: Real-World AI Projects Using Prompt Engineering
7.1 Project 1: AI-Driven Customer Support
7.2 Project 2: Personalized Content Generation
7.3 Project 3: AI in Data Analysis
Optional Module: AI Agents for Prompt Engineering
1. What Are AI Agents
2. Applications and Trends of AI Agents for Prompt Engineers
3. Importance of AI Agents
4. Types of AI Agents
Facilitated by a highly qualified specialist, who has extensive knowledge and experience; this program will be conducted using extensively interactive methods, encouraging participants to share their own experiences and apply the program material to real-life work situations in order to stimulate group discussions and improve the efficiency of the subject coverage.
Percentages of the total course hour classification are:
At the completion of the course, all participants who successfully accomplished the required contact hours will receive an EdTech Training Participation Certificate as a testimony to their commitment to professional development and further education.