Mastering Next-Gen AI apps with Streamlit, Hugging Face, ChatGPT, LangChain & GitHub Copilot
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Training TypeLive Training
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CategoryArtificial Intelligence
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Duration3 Hours
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Rating4.9/5
Course Introduction
About the Course
Unleash the future of Generative AI applications in this all-encompassing journey. Delve into Streamlit, explore the expansive library of Hugging Face, harness the conversational might of ChatGPT, and supercharge your coding with GitHub Copilot. By integrating these powerful tools, you'll craft captivating interfaces and deploy groundbreaking AI solutions with ease and finesse.
Course Objective
Dive deep into the essence of Streamlit, unlocking its potential for AI applications.
Navigate through Hugging Face, accessing an unparalleled library of over 200,000 ML models.
Embrace the conversational capabilities of ChatGPT through Langchain.
Supercharge your coding prowess with GitHub Copilot, enhancing productivity.
Integrate, design, and deploy user-centric AI applications with eye-catching UIs.
Master the art of free hosting for your next-gen Streamlit ML applications.
Who is the Target Audience?
AI and ML enthusiasts eager to stay at the forefront of technology.
Developers aiming to elevate their application development game.
Entrepreneurs looking to integrate AI solutions into their ventures.
Students and educators wanting a hands-on approach to the latest AI trends.
Business professionals seeking to understand and harness AI's potential in their domains.
Tech hobbyists curious about the evolving landscape of Generative AI and related tools.
Basic Knowledge
Basics of Python programming.
Available Batches
Pricing
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What is Streamlit and why use it?
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Basics of Streamlit.
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Hands-on: Creating basic apps and integrating widgets.
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Understanding Hugging Face: A brief overview.
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Introduction to Transformers, Models, Datasets, and Spaces.
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Using ML models offline.
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Engaging with ML models using the Inference API online without downloading.
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A deep dive into the ChatGPT API.
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Practical walkthrough: Utilizing the ChatGPT API via Langchain.
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Introduction to GitHub Copilot.
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How to leverage GitHub Copilot to reduce development time.
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Hands-on: Using GitHub Copilot for ML application development.
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Integrating Hugging Face and Langchain with Streamlit.
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Hands-on: Crafting a user-friendly UI for your ML application.
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Step-by-step guide to deploying Streamlit ML applications.
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Exploring options for free hosting.