LOG INGET STARTED

Leveraging Llama2 for Advanced AI Solutions

This course equips learners to design, develop, and optimize advanced LLM solutions using LLama2. It covers LLM architectures, fine-tuning, RAG, and tools like LangChain and Hugging Face, offering hands-on experience with cutting-edge AI techniques.

In Partnership withCoursera
Jan, 2025
2h
Intermediate
Data Science
1K Students

Course Overview

The focus of this course is to equip learners with the skills and knowledge to design, develop, and optimize advanced large language model (LLM) solutions using LLama2. Topics covered will include a comprehensive understanding of LLM architectures, techniques for fine-tuning LLMs, retrieval-augmented generation (RAG), and the utilization of tools like Ollama, LangChain, Streamlit, and Hugging Face. This course will be exciting for learners as it delves into cutting-edge advancements in AI, offering hands-on experience with state-of-the-art tools and techniques. 

Skills you'll gain

Large Language Models (LLMs)Retrieval-Augmented Generation (RAG)Fine-Tuning LLMsLangChainMachine Learning Optimization

What you'll learn

  • Evaluate LLMs conceptually and comprehend the solution development process. 
  • Analyze use cases for LLMs and determine Optimal Architectures, Models, and Optimization Techniques.  
  • Apply and compare Diverse Optimization Techniques for LLM Models. 
  • Design and develop Advanced LLM Solutions Utilizing LLama2.

Who Should Attend

Software Engineers, Machine Learning Engineer, Data Scientist, Engineering Managers  

Prerequisites

Learners should have basic Python skills, GitHub and Hugging Face accounts, and a system with at least 8GB RAM, 3.8GB free storage, running macOS or Windows.

This course is designed to be accessible, but basic familiarity with the domain will help you get the most out of the advanced modules.

Curriculum

Explore the comprehensive, hands-on curriculum designed to build your expertise step by step.

Meet your instructors

Fabian Hinsenkamp

Fabian Hinsenkamp

VIEW MY CHANNEL

Frequently Asked Questions

How much do the courses at Starweaver cost?

We offer flexible payment options to make learning accessible for everyone. With our Pay-As-You-Go plan, you can pay for each course individually. Alternatively, our Subscription-Based plan provides you with unlimited access to all courses for a monthly or yearly fee.

Do you offer any certifications upon completion of a course at Starweaver?

Yes, we do offer a certification upon completion of our course to showcase your newly acquired skills and expertise.

Does Starweaver offer any free courses or trials?

No, we don't offer any free courses, but we do offer 5-day trial only on our subscriptions-based plans.

Are Starweaver's courses designed for beginners or advanced students?

Our course is designed with three levels to cater to your learning needs - Core, Intermediate, and Advanced. You can choose the level that best suits your knowledge and skillset to enhance your learning experience.

What payment options are available for Starweaver courses?

We accept various payment methods such as major credit cards, PayPal, wire transfer, and company purchase orders. For more information related to payments contact customer support.

Do you offer refunds?

Yes, we do offer a 100% refund guarantee for our courses within a specified time frame. If you are not satisfied with the course, contact our customer support team to request a refund with your order details. Some restrictions may apply.

*Where courses have been offered multiple times, the “# Students” includes all students who have enrolled. The “%Recommended” shown is also based on this data.