Action Items and Prerequisites
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To kick off an interactive and engaging learning journey, we've crafted a special exercise to ensure you make the most out of this course. We're thrilled to have you with us and want to guide you through a few simple steps to get started:
First things first, please register []. It’s the gateway to our adventure together.
Within 3 days of registering, you'll receive a warm welcome email from Mudit at Pathway containing the course link. Didn’t see it? No worries, just ping us on Discord or contact your points of contact from P-Club IIT Kanpur or CoPS IIT (BHU), and we'll sort it out.
Depending on your familiarity with LLMs and keeping an eye on the timeline, feel free to explore the 'Bonus Modules'. They're like the cherry on top – not required for your project or quizzes, but they sure can enrich your learning experience.
Visit the and GitHub repositories and give them your support with a star.
Why does this matter? It’s more than just a click; it’s your way of cheering on the project and staying in the loop as things evolve. Got a question? The GitHub issues are your go-to spot.
Your Action Item: Become part of the vibrant Pathway Discord community, a hub for enthusiasts, creators, and some of the notable changemakers in the field of AI and Data.
Make your first post in the #introductions channel. Share a bit about your current pursuits and what excites you about AI and data science. This can go beyond your association with this bootcamp as the connections you'll foster here can help you forever. This step is crucial for knitting yourself into the fabric of our learning community and forging connections with peers and experts alike. Also, ensure you’re in the #iitk-bhu-bootcamp channel for all related discussions.
Pro Tip: Immersing yourself in any vibrant open-source community not only enriches your learning experience but also opens up opportunities for networking and collaboration.
We're thrilled to have you with us and can't wait to see the contributions and growth you'll bring to this journey. Let's embark on this educational venture together with enthusiasm and curiosity!
For the majority of the bootcamp, these prerequisites aren't necessary. So, if you're an AI product manager or someone who isn't typically hands-on, you'll be just fine. However, as we approach the hands-on development phase towards the end of the bootcamp, these skills will become essential. That's why we're introducing them to you now, allowing you to familiarize yourself with them at your own pace before we dive into the more technical aspects.
Familiarize with Generative AI Tools: Tools like Bard, Anthropic's Claude, Bing Search, or our dear ChatGPT can be invaluable for overcoming obstacles, rephrasing ideas, or basic code debugging. Try to use them a bit in your day-to-day lives.
Explore Docker: Docker simplifies the process of bundling your app and its necessities, making it portable and easy to share. It’s a powerful tool to standardize development environments and sidestep dependency issues – thus making it useful not just for LLM apps but open source development in general. Below are a few resources.
Python Proficiency: A foundation in Python 3.11 is crucial. Here are some beginner-level resources to consider: | | .
Beginner Blog on What is Docker:
Basic Tutorial on Dockerfile:
Basic Tutorials on Docker Compose: ,
Blog on using ChatGPT to build an optimized Docker Image:
Know what stream data processing is: Gaining a very basic understanding of stream data processing and real-time data can be very beneficial, setting the stage for more advanced project ideas and development strategies even within the realm of LLMs. Here's a to check out for starters.