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Roadmap to Learn Generative AI(LLM's) In 2024 With Free Videos And Materials- Krish Naik

Education

Introduction

Hello, all! Welcome to my YouTube channel. My name is Kushak, and today I want to share with you my roadmap to learning Generative AI (LLM's) in 2024. Every year, I plan out the skill sets I need to add to my bucket list to teach and show you how they are used in various industries. In 2023, I focused on different MLOps platforms and created videos covering end-to-end projects and tools. Many people found these videos beneficial for transitioning into data science and MLOps careers. In 2024, I will focus more on Generative AI, as it is seeing significant growth with new models and applications emerging every day.

If you're interested in learning about Generative AI, I have created an amazing roadmap with prerequisites and free videos on my GitHub account. This roadmap is designed for two types of roles: those starting from scratch in the data analytics field and core developers. Here's a breakdown of the roadmap:

Prerequisites:

  1. Python Programming Language: Python is essential for accessing APIs, implementing applications, and deploying models. I have created videos and materials on Python programming in both English and Hindi on my YouTube channel.
  2. Frameworks: I recommend learning Flask and FastAPI as frameworks for MLOps platforms. You can find playlist videos on these frameworks on my YouTube channel.
  3. Basic Machine Learning: Understanding machine learning concepts like one-hot encoding, bag of words, TF-IDF, and word embeddings is crucial for working with Generative AI. I have a live session playlist covering these topics on my YouTube channel.

Advanced NLP Concepts:

After the prerequisites, you can move on to more advanced Natural Language Processing (NLP) concepts. Topics include RNN, LSTM, word embeddings, and advanced LM series. I have dedicated videos explaining these concepts in detail on my YouTube channel.

LLMs and Deployment:

To dive deeper into Generative AI, you need to explore LLMs (Large Language Models). I recommend starting with OpenAI models like GPT-4 and GPT-7B. In addition, I highly recommend learning about Langchain, an amazing library used for LLMs. Langchain provides functionalities like prompts, modules, and deployment techniques.

Vector Databases and Deployment:

Vector databases play a vital role in Generative AI. Some recommended databases include ChromaF, LandDB, CassandraDB, and MongoDB. Learning to store and retrieve vectors efficiently is essential for LLMs.

Credits:

Finally, after covering the necessary topics, you can explore different LLMs and deployment techniques. This journey will involve accessing APIs, interacting with hugging face models, and deploying models using AWS, Azure, or Google Cloud.

If you want to explore Generative AI further to see if it is the right fit for you, I have a free community course where you can find videos, materials, and live sessions. The link to the course can be found in the video description.

I hope you find this roadmap helpful in your journey to learn Generative AI. Remember, I will be adding more videos and materials on my YouTube channel throughout 2024, so make sure to subscribe and stay updated. Thank you, and have a great day!

Keywords: Generative AI, LLM, Roadmap, Free Videos, Materials, Python Programming, NLP Concepts, LLMS, Deployment, Vector Databases

FAQ:

Q: Can I start learning Generative AI without prior knowledge of data analytics? A: Yes, you can start learning Generative AI directly if you are a developer and already familiar with programming languages like JavaScript or Java. However, having a solid understanding of Python programming and the basics of NLP will greatly benefit you in grasping Generative AI concepts.

Q: Is it necessary to learn all the prerequisites before diving into LLMs and deployment? A: Although having a strong foundation in Python programming, machine learning, and NLP is recommended, developers can directly start with LLMs and deployment if they are already well-versed in programming applications. However, understanding the basics will help you comprehend these advanced topics better.

Q: Are the videos and materials provided for free? A: Yes, all the videos and materials mentioned in the roadmap are available for free on Krish Naik's YouTube channel. You can access them at any time to enhance your learning journey.

Q: How frequently will the YouTube channel be updated with new videos and materials? A: The YouTube channel will be regularly updated throughout 2024 with new videos and materials related to Generative AI and LLMs. Stay tuned and subscribe to the channel to receive notifications for the latest content.

Q: Can I apply the knowledge gained from this roadmap to real-world projects? A: Absolutely! The knowledge gained from this roadmap can be applied to real-world projects in various industries. Generative AI has immense potential in areas like chatbots, text summarization, creating AI applications, and much more. With the tools and techniques learned, you can contribute to the data analytics field and explore new possibilities.