Udemy Course Announcement-Complete Generative AI With Langchain And Huggingface
Education
Udemy Course Announcement: Complete Generative AI With Langchain And Huggingface
Hello and welcome! My name is Krishn, and I'm thrilled to introduce you to my latest Udemy course: Complete Generative AI with LangChain, which includes end-to-end projects and deployment. With over 13 years of experience in data analytics and more than 7 years of teaching experience in fields such as data science, machine learning, natural language processing, and generative AI, I've had the privilege of working with renowned companies like Panasonic, Honeywell, EY, Sapient, and many more.
In this comprehensive course, we'll cover everything you need to become proficient in generative AI using LangChain. We will begin with the basics, including Python prerequisites, and progress through more advanced topics such as NLP with deep learning. You'll deep dive into various deep learning topics, including RNN, LSTM, GRU, and encoder-decoder architectures. Additionally, you'll get a thorough understanding of the history and evolution of large language models (LLMs).
This course is project-focused, featuring over 12+ industry-grade, end-to-end generative AI projects. You will work with both open-source and paid LLMs and multimodal models, making sure you gain hands-on experience with the latest technological advancements. We'll implement various generative AI use cases using models such as GPT-4 from OpenAI, LLaMA 3 from Meta, Google's PaLM 2, and many other models from Hugging Face libraries. These projects will equip you with the essential skills to tackle real-world industry problems.
Join me on this exciting journey into the world of generative AI with LangChain. Enroll now in the Generative AI with LangChain and Projects and Deployment course, and let's build the future together. So, what are you waiting for? Go ahead and enroll now. I'll see you all in class!
Keywords
- Generative AI
- LangChain
- Python
- Natural Language Processing (NLP)
- Deep Learning
- RNN
- LSTM
- GRU
- Encoder-Decoder
- Large Language Models (LLMs)
- GPT-4
- LLaMA 3
- Google's PaLM 2
- Hugging Face Libraries
- Industry-grade Projects
- Hands-on Experience
FAQ
Q: What experience do you have in the field of data analytics? A: I have over 13 years of experience in the data analytics industry and more than 7 years of teaching experience.
Q: Which companies have you worked with? A: I've had the privilege of working with companies like Panasonic, Honeywell, EY, and Sapient, among others.
Q: What will I learn in this course? A: You'll learn everything from Python prerequisites to advanced topics in NLP with deep learning, including various architectures such as RNN, LSTM, GRU, and encoder-decoder models. You'll also get a thorough understanding of the history and evolution of large language models.
Q: Are there any practical projects included? A: Yes, the course features over 12+ industry-grade, end-to-end generative AI projects that provide hands-on experience with both open-source and paid LLMs.
Q: What models will I work with in the projects? A: You'll work with models like GPT-4 from OpenAI, LLaMA 3 from Meta, Google's PaLM 2, and many other models from Hugging Face libraries.
Q: Is this course suitable for beginners? A: Yes, the course starts with the basics, including Python prerequisites, making it suitable even for beginners.