Langchain – Create AI Agents using Streamlit in Langchain

Ready to dive into the world of AI-driven data insights? This course will guide you through creating an intelligent data analytics agent using LangChain and LLMs, and then deploying it with Streamlit for interactive data visualization and exploration. This course is your perfect starting point! We’ll guide you through the essentials of LangChain and Large Language Models (LLMs), empowering you to build practical AI solutions without extensive prior coding experience.

You’ll learn how to create your first AI agent, transform it into a powerful data analytics tool, and connect it to various data sources. We’ll also explore integrating external data sources, giving your agent access to valuable information. This course provides a hands-on, step-by-step approach, making AI-driven data analysis accessible to everyone.

What You’ll Learn in This Course:

Introduction to LangChain and Data Analytics Agents:

• Get a comprehensive tour of the LangChain framework for data processing.
• Build your first AI data analytics agent from scratch using LangChain and LLMs.
• Transform your agent to handle complex data queries and generate insightful reports.

Data Integration and Processing:

• Learn how to connect your LangChain agent to various data sources (CSV, databases, APIs).
• Learn basic data processing techniques to format data for analysis with your agent.
• Make your AI agent adaptable to various data formats for seamless analysis.

Integrating External Data Sources:

• Learn how to connect to external data sources.
• Connect your Langchain workflow to Pandas Dataframes. Foundational Skills:
• Learn how to use LLMs within LangChain for data analysis and interpretation.
• Understand how to use APIs within LangChain for data retrieval.
• Learn how to build interactive data visualizations and dashboards with Streamlit.

Join us and embark on your AI-driven data analytics journey!