Langchain - Create AI Agents using Streamlit in Langchain
Requirements
- A basic understanding of python is necessary to follow along the videos
Description
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!
Who this course is for:
- Individuals Seeking to Enhance Problem-Solving Skills: Those who wish to learn how to use LangChain and LLMs for AI and automation, building interactive Streamlit applications to tackle complex problems and develop innovative solutions.
- Aspiring Innovators: Exploring LangChain, LLMs, and Streamlit: Individuals eager to explore and develop cutting-edge AI applications with LangChain, LLMs, and Streamlit, building custom AI agents and automation workflows to solve real-world challenges.
- Developers and Programmers: LangChain, LLMs, and Streamlit for AI Development: Looking to expand their skill set by mastering LLM integration, LangChain automation frameworks, and AI-driven development using Streamlit to create compelling user interfaces for their AI projects.
- Startup Founders and Entrepreneurs: LangChain, LLMs, and Streamlit for AI Growth: Aiming to build AI-powered products and services and automate business processes for scalability.
- Project Managers and Team Leaders: Gaining AI Insights with LangChain, LLMs, and Streamlit: Looking to implement AI-driven solutions to improve project management and gain actionable insights, using LangChain and LLMs for data analysis and Streamlit for interactive reporting.
Instructor
- 4.2 Instructor Rating
- 11,354 Reviews
- 190,344 Students
- 20 Courses
Hello learners! I'm Dhruv Bais, an AI and automation specialist with a unique blend of experience spanning cutting-edge financial trading and advanced autonomous systems. My journey has taken me from the fast-paced world of Wall Street, where I leveraged AI to optimize trading strategies at SMB Capital, to the depths of the ocean, developing AI for autonomous underwater vehicles with the Republic of Singapore Navy.
In my role as a Quantitative Equities Trader, I harnessed the power of chatbots and conversational AI for real-time market insights, automated complex trading workflows, and built sophisticated machine learning models to identify profitable trading opportunities. My expertise extends to robust data engineering pipelines, ensuring the seamless flow of information for data-driven decision making.
Prior to that, as an Autonomous Vehicles Specialist, I engineered AI algorithms for object detection, navigation, and critical detection tasks in challenging underwater environments. This involved developing and training machine learning models, designing data pipelines for sensor data, and rigorous testing for reliability.
My passion lies in demystifying complex AI concepts and empowering you to build practical, real-world applications. Whether you're interested in leveraging AI for financial analysis, building intelligent chatbots, or developing autonomous systems, my courses will equip you with the knowledge and skills you need to succeed.
Join me as we explore the exciting world of AI and automation, and transform your ideas into reality!