Building Scalable Industry Applications with RAG and Agents

  • BeginnerLevel

  • 1500+Students Enrolled

  • 40 MinsDuration

  • 4.8Average Rating

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About this Course

  • Learn core concepts of RAG and agentic systems for scalable LLM applications in real world.
  • Explore techniques to integrate LLMs into industry-grade production environments.
  • Gain hands-on experience in deploying and evaluating LLMs with UI tools like Streamlit.

Learning Outcomes

Understand RAG Systems

Master core RAG concepts for robust, scalable applications.

Deploy LLM Applications

Seamlessly integrate LLMs into practical, real-world systems.

Optimize AI Performance

Critically evaluate and significantly enhance LLM reliability.

Course Curriculum

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

tools

  1. 1. Building Scalable Industry Applications with RAG and Agentic Systems

Meet the instructor

Our instructor and mentors carry years of experience in data industry

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Anuj Saini

AI Research Scholar, Montréal

Anuj Saini, a Subject Matter Expert, has 15+ years of experience in NLP, Search, Data Science, ML, and Cloud. He excels in building AI-driven systems. Connect on LinkedIn.

Get this Course Now

With this course you’ll get

  • 40 Mins

    Duration

  • Anuj Saini

    Instructor

  • Beginner

    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?

Retrieval-Augmented Generation (RAG) enhances LLM responses by retrieving relevant external data before generating text. This improves accuracy, reduces hallucinations, and enables real-time knowledge updates.

An agentic system enables AI agents to autonomously perform tasks, make decisions, and interact with users or systems using reasoning, planning, and adaptive learning.

Yes, the course covers practical deployment strategies, including UI integrations using Streamlit or other frontend frameworks, ensuring you gain applied experience.

Yes, upon successful completion of the course and assignments, you’ll receive a certificate

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