Build Products 10x Faster with GenAI

  • IntermediateLevel

  • 800+Students Enrolled

  • 30 MinsDuration

  • 4.8Average Rating

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About this Course

  • Learn to craft effective prompts to guide AI models, enhancing the quality and relevance of generated outputs.​
  • Gain proficiency in building AI applications using LangChain and Cursor, streamlining the integration of generative AI into your products.​
  • Acquire skills to deploy custom GPT models, tailoring AI capabilities to meet specific product requirements and user needs.​

Learning Outcomes

Learn Prompting

Craft effective prompts to guide AI for better outcomes.

Build AI Apps

Use tools like LangChain & Cursor to create smart apps.

Deploy GPTs

Customize and deploy GPTs for real-world use cases.

Who Should Enroll

  • Product managers and founders aiming to accelerate product development using GenAI-powered tools.
  • Developers who want to build and deploy AI-driven features without deep machine learning expertise.
  • Innovation teams exploring practical ways to integrate Generative AI into business workflows efficiently.

Course Curriculum

Explore a comprehensive curriculum covering Python, machine learning models, deep learning techniques, and AI applications.

tools

  1. 1. Advanced Prompt Engineering for Developers

  2. 2. AI Development Tools Deep Dive

Meet the instructor

Our instructor and mentors carry years of experience in data industry

company logo
Nikhil Pentapalli

Senior ML 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.

Get this Course Now

With this course you’ll get

  • 30 Mins

    Duration

  • Nikhil Pentapalli

    Instructor

  • Intermediate

    Level

Certificate of completion

Earn a professional certificate upon course completion

  • Globally recognized certificate
  • Verifiable online credential
  • Enhances professional credibility
certificate

Frequently Asked Questions

Looking for answers to other questions?

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.

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.

CoT prompting helps AI break down reasoning step by step, leading to better logical conclusions, improved problem-solving, and more accurate responses.

Yes, the course provides a certification upon completion.

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