.png)
Welcome to an exciting 10-week journey into the world of large language models!
LLMs are currently experiencing a substantial surge in popularity. Their significance has notably increased in diverse applications, including natural language processing, machine translation, and code and text generation. This rise in prominence is driven by a growing trend among both companies and individuals to leverage LLMs for automating a wide range of tasks. Understanding and learning about LLMs is highly valuable in light of their growing usage and transformative impact across various domains.
If you're eager to dive into this trend, you'll discover plenty of resources on the internet. But here's the catch – many of them are all over the place, missing a step-by-step guide from basics to real-world use. This can be overwhelming, and you might feel a bit lost.
Imagine this course as your comprehensive guide, exploring every aspect of using LLMs in real-world scenarios. It serves as the crucial link that brings everything together. Each week, we'll delve into the above topics, providing in-depth insights and hands-on experiences. This approach ensures you gain a thorough and well-rounded understanding of every facet within the topic.
We've organized the content into four key pillars –
This course caters to a diverse audience, including business leaders, professionals, computer science enthusiasts, or students looking to enhance their knowledge in LLMs. While we aim to keep mathematical foundations relatively light, we'll touch on LLM architectural basics in week 11 as bonus content for those interested in delving into LLM research.
To make this course accessible to a wide audience, we've designed it as a self-paced audit course. You can register for the course here and course material will be released weekly, featuring mind maps, "ETMI5: Explain to Me in 5" sections for a quick overview, relevant resources, and comprehensive content to ensure your understanding of each topic. Additionally, we'll provide research papers and distilled summaries to keep you updated on the latest research. This page serves as your central hub for all resources.
Stay informed by registering for email notifications whenever new content is uploaded, or follow our updates on LinkedIn. For any queries, feel free to contact the instructor at [email protected] or on LinkedIn. At the end of each week, we'll address frequently asked questions. To maximize your learning experience, allocate 2-3 hours weekly for reading content and engaging in suggested hands-on experiments.
You can register for this course anytime during the 10 weeks to start receiving emails with downloadable content (Registrations are closed! The course content is available for everyone to access!)
🗓️Week 1**: Practical Introduction to LLMs (Click on topics below)**
[Week 1, Part 1] Applied LLM Foundations and Real World Use Cases
[Week 1, Part 2] Domain and Task Adaptation Methods
🗓️Week 2**: Prompting and Prompt Engineering (Click on topics below)**
[Week 2] Prompting and Prompt Engineering
🗓️Week 3**: LLM Fine-tuning (Click on topics below)**
🗓️Week 4**: RAG (Retrieval-Augmented Generation) (Click on topics below)**
[Week 4] Retrieval Augmented Generation
🗓️Week 5**: Tools for building LLM Apps (Click on topics below)**
[Week 5] Tools for Building LLM Applications
🗓️Week 6**: Evaluation Techniques (Click on topics below)**
[Week 6] LLM Evaluation Techniques
🗓️Week 7**: Building Your Own LLM Application (Click on topics below)**
[Week 7] Building Your Own LLM Application
🗓️Week 8**: Advanced Features and Deployment (Click on topics below)**
[Week 8] Advanced Features and Deployment
🗓️Week 9**: Challenges with LLMs (Click on topics below)**
🗓️Week 10**: Emerging Research Trends (Click on topics below)**
[Week 10] Emerging Research Trends
🗓️Week 11 Bonus**: Foundations (Click on topics below)**
This course content is developed by Aishwarya Naresh Reganti. The course is offered independently, for free and is not affiliated with her professional responsibilities or employer. The content presented in this course is intended for educational purposes only and does not reflect the views or policies of any associated organizations.