What you'll Learn
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Learn essential prompt engineering techniques like zero-shot, few-shot, and chain-of-thought prompting.
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Use AI-powered tools like LangChain, Cursor, and Bolt.dev to build and deploy applications.
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Customize and deploy AI assistants, including fine-tuning custom GPTs.
Who Should Enroll?
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Professionals: Perfect for developers, product managers, and data scientists aiming to streamline workflows, optimize AI applications, and boost productivity. Learn to integrate AI into products, automate tasks, and stay ahead in the fast-evolving AI landscape.
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Aspiring Students: Ideal for AI enthusiasts, computer science students, and aspiring developers looking to master prompt engineering and build AI-powered applications.
About the Instructor
Nikhil Pentapalli, Senior Machine Learning Engineer - Adobe
Nikhil is a Senior Machine Learning Engineer at Adobe, specializing in LLMs, NLP, RAG, and document intelligence. He builds AI-powered Q&A systems and generative AI evaluation metrics. As an AI Advisor at CascadeClarity.ai, he develops AI-driven solutions that turn data into insights. With a Master’s in Computer Science from the University at Buffalo, he has expertise in deep learning, OCR, and AWS solutions. Previously, he optimized AI automation at Chubb and Jio Platforms, reducing costs and improving accuracy.
FAQ's
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What is Prompt Engineering, and why is it important?
Prompt engineering is the process of designing effective inputs (prompts) for AI models to get the best possible outputs. It helps improve accuracy, efficiency, and control over AI-generated responses.
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What types of prompting techniques will I learn?
You'll explore basic to advanced techniques, including zero-shot, one-shot, few-shot prompting, chain-of-thought (CoT), role-based prompting (system messages), and iterative refinement.
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Will I receive a certificate upon completing the course?
Yes, the course provides a certification upon completion.
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What is Chain-of-Thought (CoT) prompting, and how does it work?
CoT prompting helps AI break down reasoning step by step, leading to better logical conclusions, improved problem-solving, and more accurate responses.