Prompt Engineering
This Advanced Prompt Engineering course is designed for developers, data scientists, AI enthusiasts, and professionals who want to master the art of crafting effective prompts for large language models (LLMs) like OpenAI's GPT, Claude, and Gemini. With a strong focus on hands-on practice, the course blends theoretical concepts with real-world applications, guiding learners through the nuances of prompt design, optimization techniques, chaining prompts, and building complex workflows using LLMs. Whether you're developing chatbots, writing AI-assisted content, automating tasks, or enhancing productivity tools, this course equips you with the skills to leverage LLMs more efficiently and creatively.
What you will learn
You will learn the principles and strategies behind prompt engineering, including zero-shot, few-shot, and chain-of-thought prompting, instruction tuning, and role-based prompting. You’ll gain hands-on experience with designing, testing, and refining prompts for different use cases such as code generation, data extraction, summarization, translation, reasoning, and more. The course also covers prompt evaluation, mitigation of hallucinations, integrating prompts with APIs, and using tools like LangChain and semantic search to build intelligent systems.
Course Content
10 modules · 2 lessons
Introduction to Prompt Engineering 2 lessons
- New Lesson
- Lesson3
Prompt Types and Techniques 0 lessons
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Designing Effective Prompts 0 lessons
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Role-based and Instructional Prompts 0 lessons
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Evaluating and Iterating Prompts 0 lessons
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Multi-turn and Contextual Prompting 0 lessons
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Prompt Chaining and Workflow Design 0 lessons
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Mitigating Hallucinations and Bias 0 lessons
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Tools for Prompt Engineering 0 lessons
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Real-world Use Cases and Projects 0 lessons
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