AI Development
AI+ Developer
Master AI development with Python, deep learning, and data processing. Specialize in NLP, computer vision, or reinforcement learning, and gain expertise in model deployment and clarity.
Targeted Audience
AI Application Developer
AI Prompt Engineer
AI Integration Specialist
AI Solutions Architect
Modules | 7
Examination | 1
Passing Score | 70%
COURSE AGENDA
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