A Beginner's Guide to Generative AI - Building AI Chatbots
What you'll learn
- Master LangChain Fundamentals: Gain a deep understanding of LangChain's architecture and components, enabling you to build versatile AI applications.
- Hands-On AI Projects: Acquire practical skills by building real-world Slack applications like ChatGPT bots and Financial Analysis Systems.
- Data Integration Mastery: Learn to seamlessly integrate Large Language Models with Vector Databases like DeeoLake for data-driven AI solutions.
- Deployment Expertise: Equip yourself with the know-how to deploy AI applications to production, ensuring they are scalable and maintainable.
- Basic Knowledge of Python
Are you curious about Generative AI applications and want to know how to get started? This course aims to teach you how to quickly build and deploy generative AI-powered applications. It focuses on showing the core concepts of building LLM-powered applications. With all the hype, the most important thing is to build a POC, experiment, learn and deploy to get the right feedback from your users. This tutorial is designed for beginners, and we're building on the Slack platform to make it easy for you to go from idea to application in no time. You won't have to worry about the heavy lifting associated with building a full-stack application.
By taking this course, you will gain the knowledge and skills needed to create and deploy generative AI-powered applications quickly. This can be a huge advantage for businesses looking to stay ahead of the competition by offering innovative and engaging user experiences. The course's focus on building a Proof of Concept (POC) allows you to experiment and learn while getting valuable feedback from your users.
In addition, using the Slack platform makes it easy for you to go from idea to application without worrying about the complex process involved in building a full-stack application. This means you can get your POC in the hands of users faster and start gathering feedback sooner, allowing you to iterate and improve your application based on user needs.
Overall, this course offers a unique opportunity to learn the core concepts of building LLM-powered applications and gain practical experience in deploying them, all while keeping the focus on delivering value to your users.
Understanding LLMs: Understand how LLMs work and their use cases
Introduction into OpenAI: An overview of OpenAI and how it works.
Introduction to LangChain: Understand the architecture and components of LangChain.
Working with LLMs: Learn how to interface with models like GPT-4 and HuggingFace.
Data Connections: Dive into connecting your LLMs with Vector Databases like Deeplake and FAISS.
Building Slack Apps: Step-by-step guides on creating various Slack applications, each serving a unique purpose.
Connecting Slack ChatGPT to API for knowledge retrieval using the API Chain in Langchain
Deployment: Master the art of deploying these applications to a production environment.
API Chatbot - Chat with TMDB API using a Slack ChatGPT chatbot
Chat with PDF Chatbot -
By the end of this course, you'll have a portfolio of real-world projects and the skills to build AI applications that are ready for production.
Why This Course?
Comprehensive Coverage: This course takes you through the entire process of building AI applications, starting with the basics of LangChain and progressing to advanced implementations.
Hands-On Projects: You'll get practical experience by building various Slack applications, including a ChatGPT bot, a Financial Analysis System, a Movie Trivia App, and a Document Chatbot.
Industry-Ready Skills: Learn how to integrate LangChain with Vector Databases like FAISS and Deeplake and how to deploy your applications to production environments.
Ongoing Support: The course will be updated regularly with new content and capabilities, ensuring you stay ahead of the curve.
Who this course is for:
- Aspiring AI Developers: If you're new to the world of AI and eager to dive in, this course will give you the foundational skills you need.
- Tech Professionals: Already in the tech field but want to pivot or expand into AI? This course will fast-track your transition.
- Freelancers: Looking to expand your service offerings? This course will equip you with the skills to offer AI application development to your clients.
- Students: Whether you're in computer science, engineering, or any tech-related field, this course will give you a practical edge.
- Educators: If you teach tech subjects and want to stay ahead of the curve, this course will bring you up to speed with the latest in AI application development.
Ugo is a seasoned technology expert with experience spanning over 12 years in Software engineering, Ugo has worked at organizations like Oracle, PWC and Slack His particular expertise centers around building chatbots, internal helpdesks and customer care automation solutions. Ugo is also an online educator with several years of teaching courses on automation tools like Salesforce and Slack.