What’s Included?
High-Quality Video, E-book & Audiobook
Modules Quizzes
AI Mentor
Access for Tablet & Phone
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.
Self Study Materials Included
Videos
Engaging visual content to enhance understanding and learning experience.
Podcasts
Insightful audio sessions featuring expert discussions and real-world cases.
Audiobooks
Listen and learn anytime with convenient audio-based knowledge sharing.
E-Books
Comprehensive digital guides offering in-depth knowledge and learning support.
Module Wise Quizzes
Interactive assessments to reinforce learning and test conceptual clarity.
Additional Resources
Supplementary references and list of tools to deepen knowledge and practical application.
Tools You’ll Master
ChatGPT
LangChain
BetterPrompt
GitHub Copilot
What You’ll Learn
Design and Optimization of Prompts
Demonstrate the ability to craft, refine, and optimize prompts to achieve desired outcomes across different AI applications.
Advanced Strategies in Prompt Engineering
Apply advanced prompt engineering techniques and strategies to solve complex problems and drive innovation in AI systems.
Integration with Development Tools
Showcase proficiency in integrating prompt engineering workflows with development tools, APIs, and programming environments.
Real-World Applications and Project Execution
Implement prompt engineering concepts in real-world scenarios, completing project-based tasks that highlight practical applications across diverse domains.
Course Modules
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
Frequently Asked Questions
This course dives into advanced prompt engineering techniques for AI models, focusing on optimizing prompts for better AI responses.
AI developers, data scientists, and content creators who have completed basic prompt engineering courses and want to advance their skills.
You’ll explore advanced techniques like few-shot prompting, chain-of-thought prompting, and AI prompt optimization for complex models.
Industries like AI development, content creation, and AI research benefit from better prompt engineering.
You will work on projects that include optimizing AI-generated content and enhancing AI tools for business applications.