This course provides a comprehensive introduction to Generative AI and Prompt Engineering, equipping learners with the skills to craft effective prompts that enhance AI-generated responses. Designed for professionals seeking to optimize AI interactions, the course covers fundamental AI concepts, the evolution of language models like GPT, BERT, and T5, and hands-on techniques to improve AI output precision. Learners will explore Zero-shot, Few-shot, Chain-of-Thought (CoT), and Tree-of-Thought (ToT) reasoning, refining their ability to structure prompts for various applications, including content creation, automation, and coding. The course also delves into ethical AI considerations and evaluates AI performance using industry best practices.

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What you'll learn
Craft effective prompts that yield accurate, high-quality AI-generated responses
Apply advanced prompting techniques to improve AI interaction and optimize results
Leverage AI for SEO, digital marketing, code generation, and automation
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March 2025
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There are 2 modules in this course
This module introduces learners to the foundational principles of Generative AI, providing a comprehensive understanding of how AI models generate new content across various domains. Learners will explore the evolution of Generative AI, key models such as GPT, BERT, and T5, and their real-world applications in industries like marketing, software development, and customer service. The module sets the stage for effective AI interaction by establishing the importance of structured prompting, helping learners recognize how AI processes inputs to generate meaningful responses. Through case studies and practical examples, learners will gain insights into the transformative potential of Generative AI and the significance of prompt engineering.
What's included
13 videos2 readings3 assignments1 discussion prompt
This module delves into advanced prompt engineering techniques, equipping learners with the skills to craft precise, effective, and optimized prompts for AI interactions. Learners will explore techniques for refining prompts, structuring them for clarity, and iterating to improve AI-generated responses. The module also covers industry applications of prompt engineering, such as content creation, automation, multimedia generation, and coding. Additionally, learners will gain insights into evaluating AI performance, addressing ethical concerns, and understanding emerging trends in prompt engineering. By the end of this module, learners will have a deep understanding of how to optimize AI interactions across various domains.
What's included
11 videos1 reading4 assignments
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