AC-1302
AI+ Prompt Engineer Level 2
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Price:
Duration:
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5 Days
Prerequisites
• Familiarity with at least one programming language (Python recommended).
• Basic knowledge of RESTful services and API interactions.
• Basic understanding of AI concepts and language models.
What you’ll learn in this course
The AI+ Prompt Engineer Level 2 certification is designed for developers aiming to master advanced prompt engineering techniques. This program equips learners with skills in crafting and optimizing prompts, integrating them with cutting-edge development tools, and applying them across diverse domains. Through project-based learning, participants gain practical experience by working on real-world AI projects.
The curriculum explores advanced strategies, experimentation, and optimization, ensuring proficiency in creating impactful AI-driven solutions. Ideal for professionals looking to enhance their expertise, this certification bridges the gap between AI innovation and application, empowering developers to lead in the evolving field of prompt engineering.
Course Objectives
• Master skills in prompt engineering for crafting, optimizing, and implementing effective prompts for AI models.
• Gain advanced techniques for designing sophisticated prompts that improve AI responses and outcomes.
• Apply prompt engineering knowledge to real-world AI projects, enhancing practical skills and effectiveness.
• Earn a certification that demonstrates proficiency in enhancing AI performance with well-crafted prompts.
• Learn to tackle complex challenges across various domains through hands-on, project-based learning.
Course Outline
Module 1: Introduction to Prompt Engineering for Developers
• 1.1 Introduction to Neural Networks
• 1.2 Neural Network Architecture
• 1.3 Hands-on: Implement a Basic Neural Network
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
Further information
If you would like to know more about this course please contact us
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