Prompt Engineering
Master the language of AI and get reliable results every time.
Weekly Outline
Introduction to Generative AI, Large Language Models, prompt fundamentals, prompt structure, instructions, context, and effective prompting techniques.
Prompt engineering techniques, including zero-shot prompting, few-shot prompting, role prompting, chain-of-thought prompting, and structured prompts.
Advanced prompting, including prompt optimization, reasoning prompts, iterative prompting, context management, and handling complex tasks.
Applying prompt engineering to content generation, coding, data analysis, research, AI tools, and real-world problem solving.
Weekly Assessment
An assessment is conducted at the end of every week to evaluate concepts and practical skills covered during that week.
Final Assessment
A comprehensive Prompt Engineering project covering prompt design, optimization, advanced prompting techniques, and real-world AI applications.
Skills Developed
Learning Outcomes
- Understand the fundamentals of Generative AI and LLMs.
- Design clear, structured, and effective prompts.
- Apply different prompting techniques to different tasks.
- Optimize and refine prompts for better results.
- Manage context and instructions effectively.
- Use AI for content creation, coding, research, and data analysis.
- Handle complex tasks using advanced prompting techniques.
- Evaluate and improve AI-generated outputs.
- Apply prompt engineering to real-world problems.
- Develop practical prompt-based AI solutions.