Library / Artificial Intelligence

Prompt Engineering for AI: Master AI & LLMs

On Udemy

About this course

Unlock the power of Generative AI by learning how to communicate effectively with modern AI models.

This comprehensive course takes you beyond basic ChatGPT prompting and teaches you how to design, test, evaluate, and optimize prompts for real-world AI applications.

You will start with the foundations of Prompt Engineering and progressively move into advanced techniques including reasoning models, thinking controls, context engineering, structured outputs, tool use, agentic prompting, evaluation, optimization, safety, and LLMOps.

The course is designed to help you understand not only WHAT prompt to write, but WHY a prompt works, how to improve it, and how to build reliable AI workflows around Large Language Models (LLMs).

What you will learn

  • Fundamentals of Prompt Engineering
  • Core prompting techniques and best practices
  • Designing effective instructions and prompts
  • Reasoning models and thinking controls
  • Prompt Engineering across different AI models
  • Context Engineering for better AI responses
  • Structured outputs and reliable AI responses
  • Tool use and function-oriented prompting
  • Agentic Prompting and AI agent workflows
  • Practical AI applications and use cases
  • Prompt evaluation, testing and optimization
  • Risks, safety, limitations and AI guardrails
  • Production considerations and LLMOps

The course also includes a bonus Python session covering Python fundamentals, NumPy, Pandas, SciPy, Matplotlib, Seaborn and Plotly to help learners who want to work more practically with AI and data.

Who is this course for?

This course is suitable for:

  • Students who want to build practical Generative AI skills
  • Developers and software professionals working with AI/LLMs
  • Data science and analytics professionals
  • AI/ML enthusiasts
  • Business professionals looking to use AI more effectively
  • Entrepreneurs and professionals building AI-powered solutions
  • Anyon

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