Building a Deep Research AI Agent

  • IntermediateLevel

  • 396+Students Enrolled

  • 1 HrDuration

  • 4.5Average Rating

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About this Course

  • Master LangGraph to build an advanced Research & Report Agent with automation and AI-driven insights.
  • Seamlessly integrate Tavily to enable more powerful, efficient, and accurate web searches for research.
  • Automate structured report generation with seamless integration and efficient parallel execution.

Learning Outcomes

Learn LangGraph Framework

Gain a solid foundation in LangGraph for AI-driven research agents.

Create a Research Agent

Develop a planning agent for structured report generation.

Enhance Research Reports

Customize reports, run in parallel & integrate Tavily seamlessly.

Course Curriculum

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

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  1. 1. Project Introduction & Architecture

  2. 2. Project Implementation - Project Setup -Part-1 Video

  3. 3. Project Implementation - Part II - Create Utility Functions Video

  4. 4. Project Implementation -Part III - Create Report Planner Node Video

  5. 5. Project Implementation Part- IV - Create Section Builder Sub-Agent Video

  6. 6. Project Implementation - Part V - Create Format Sections Node Video

  7. 7. Project Implementation - Part VI - Create Final Section Writer Node Video

  8. 8. Project Implementation - Part VII - Create Compile Final Report Node Video

  9. 9. Project Implementation Part VIII - Create Planning Agent Video

  10. 10. Reading Resources

  11. 11. Handouts of the course

Meet the instructor

Our instructor and mentors carry years of experience in data industry

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Dipanjan Sarkar

Principal AI Scientist

Dipanjan Sarkar, Lead Data Scientist, Author & Consultant, has 10+ years of expertise in ML, DL, GenAI, CV & NLP. He has led AI initiatives across Fortune 100 firms & startups, building data products & upskilling professionals at all levels

Get this Course Now

With this course you’ll get

  • 1 Hour

    Duration

  • Dipanjan Sarkar

    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?

LangGraph is a graph-based framework designed for building complex, dynamic AI agents. It enables efficient workflow management and decision-making, making it ideal for advanced AI applications.

A basic understanding of AI agents and Python programming is recommended. Familiarity with tools like LangGraph may be helpful.

LangGraph uses graph-based architectures for scalable workflows and dynamic decision-making, ideal for complex tasks. Autogen focuses on multi-agent orchestration but requires more programming, while CrewAI simplifies team-based agent tasks but lacks advanced workflow optimization.

Yes, the course includes practical exercises to to Build a Planning Agent for Deep Research & Structured Report Generation.

Yes, the course provides a certification upon completion.

Its graph-based design allows for modular, dynamic workflows and conditional routing, making it ideal for building scalable, efficient AI systems capable of handling intricate tasks.

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