Advanced Prompt Engineering

Mahendra Reddy is an expert in Prompt Engineering with over 3.5 years of experience in AI, NLP, and generative AI. He specializes in designing and optimizing prompts to enhance AI outputs, helping learners gain practical, hands-on skills in modern AI technologies.

• His training focuses on real-world applications, effective prompt design, and career-oriented guidance, making complex AI concepts easy to understand and implement for students and professionals alike.
  Course Content:

  1. Introduction to Prompt Engineering

     • Basics of AI & NLP

     • Role of prompts in generative AI

  2. Prompt Design Fundamentals

     • Crafting effective prompts

     • Context, tone, and style in AI responses

  3. Advanced Prompt Techniques

     • Few-shot and zero-shot prompting

     • Chain-of-thought prompting

     • Role-based prompts

  4. Generative AI Applications

     • Prompts for ChatGPT & LLMs

     • Prompts for content generation

     • Prompts for coding & data analysis

  5. Optimization & Fine-tuning

     • Evaluating prompt effectiveness

     • Troubleshooting and refining outputs

  6. Practical Projects

     • Real-world case studies

     • Industry-focused applications of prompt engineering

  7. Career Guidance

     • Applications in AI-driven roles

     • Future trends in Prompt Engineering
       
       Prompt Patterns & Techniques – Dive into advanced methods like Chain-of-Thought, ReAct, and Tree-of-Thought prompting.

• Role & Context Design – Learn how to create effective AI personas and structure prompts for domain-specific tasks.

• Tool Use & Function Calling – Explore how prompts interact with APIs, tools, and external functions in real-world workflows.

• Prompt Chaining & Automation – Build multi-step prompt systems for complex problem-solving and automation.

• Evaluation & Safety – Test, refine, and guard your prompts for accuracy, consistency, and ethical alignment.