While selecting the Best and Free Llama Courses, our team considered multiple factors. These were instructor expertise in this field, positive learner feedback, course content comprehensives, and availability of certificates. Following such a criterion made sure that our recommendations were authoritative.
Key Takeaways
- Access to Free Llama Courses.
- A chance to learn from industry experts.
- Certificates are available to validate your skills.
In order to help our readers in taking a knowledgeable learning decision, TakeThisCourse.net has introduced a metric to measure the effectiveness of an online course. Learn more about how we measure an online course effectiveness. Best + Free Llama Courses & Classes….
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- via Coursera
- 01 Hour of effort required!
- Course Level: Introductory
In this beginner-level course, you will learn best practices that are relevant to prompting Llama 2 and 3 models. You will be taught how to build safe and responsible AI applications using the Llama Guard Model.
- The reason why we chose this course is its focus on explaining how to interact with Meta Llama 2 Chat. You will learn all about Code Llama and Llama Guard Models.
- This course is for those who wish to treat Code Llama as a pair programing partner for learning to write and improving code.
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- via edX
- 05 Hours of effort required!
- Course Level: Introductory
In this highly informative course, you will learn to serve powerful language models as practical and scalable web APIs using the llama.cpp server. You will learn to keep your data private and avoid any type of cloud latency and fees.
- The best thing about this course is its focus on explaining how to configure the llama.cpp server to customize model behavior. You will gain skills required to expose large language models through REST API endpoints. The instructor will help learners understand concepts through hands-on exercises and code examples using tools like curl and Python.
- This course is for those who wish to understand how to handle requests and integrate language model capabilities into applications.
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- via Youtube
- 01 Hour of effort required
- Course Type: Introductory to Intermediate
In this end-to-end LLM and Gen AI project, you will use Llama3.1 open source LLM, chromadb (vector store), Langchain and streamlit for building a tool known as cold email generator. This tool is known to help Software and AI services companies send cold emails to all of their potential clients.
- The best thing about this video is its focus on explaining how to build notebook for email generation. You will also learn all about Chromadb.
- This video is suitable for learners who wish to understand how to streamlit UI and project structure and use Llama 3.1.
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I would like to thank the instructor for providing such crisp and clear content regarding the LLM with llama. Now after watching this video, I will rewrite the restaurant suggestion application with llama. Again, thanks a lot for this video and putting in so much effort into this. I now believe I have learned a lot and can put all my learnings into practice.
Continue with more Free Llama Courses & Training Classes…
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- via Coursera
- 01 Hour of effort required.
- Course Level: Introductory
Are you interested in learning how to build an agent that can reason over your documents? Or want to create something that can answer complex questions? In this course, you will learn to do that and so much more.
- The reason why we chose this course is its focus on explaining how to build a router agent that can help you with the question/answers and summarization tasks. You will be taught how to pass arguments to the built agent.
- This course is for those who wish to understand how to design a research agent that can handle multi-documents and learn multiple ways to debug and control the agent.
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- via Udemy
- 20 Hours of effort required
- Course Level: Introductory to Intermediate
| Online Course Effectiveness Score |
| Content | Engagement | Practice | Career Benefit |
Excellent
★★★★★ | Good
★★★★☆ | Good
★★★★☆ | Fair
★★★☆☆ |
In this bestseller course, you will understand the functionality of LLMs including the parameters, weights, inference, and neural networks.
- The best thing about this course is its focus on helping learners understand all about the Gemini API, Open-Source LLMs, LangChain Apps, Prompt engineering, and more. You will understand all about the fine-tuning and creation of the Assistant Model.
- This course is for those who wish to understand the capabilities and future developments of LLMs.
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This is an exceptional course and Arnie is a great teacher. He clearly knows how to explain things using simple words, pictures, and analogies. He never wastes time and explains everything to the point. He always avoids jargons and other fluff. All the core principles were explained clearly. This is a 100% recommended course. (Paul H)
Of all the courses I took from various platforms, this one is the best and most helpful. The instructor seemed quite knowledgeable and the efforts that has been put into this course are commendable. This course truly deserves a 5-star rating because there wasn’t a single lecture video that felt irrelevant or out of context. The entire course is worth taking and teaches you something that is valuable and in demand. (Ton B)
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- via edX
- 20-24 Hours of effort required
- Course Level: Intermediate
Want to unlock the power of large language models on your machine? In this course, you will master setup and interaction using cutting-edge LLMs through intuitive web interfaces and APIs.
- The reason why we chose this course is its focus on explaining how to leverage programming languages for efficient LLM integration. You will explore diverse tools, programming languages, and frameworks like Hugging face and Mozilla for seamless LLM integration.
- This course is for those who wish to gain solid understanding of running LLMs locally and gain valuable skills for efficient local LLM deployment.
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- via Coursera
- 05 Hours of effort required
- Course Level: Intermediate
| Online Course Effectiveness Score |
| Content | Engagement | Practice | Career Benefit |
Excellent
★★★★★ | Excellent
★★★★★ | Good
★★★★☆ | Fair
★★★☆☆ |
In this course, you will learn to use llama.cpp Python APIs and build Llama 2-based large language model (LLM) applications.
- The best thing about this course is its focus on explaining how to run and interact with Llama 2 large language model on commodity local hardware.
- This course is for those who wish to understand how to utilize zero- and few-shot prompting along with advanced methods like grammars in llama.cpp.
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This was a great course that helped me understand so much about Llama 2. The lectures were quite interesting. I believe the course is helpful to practice prompt engineering. (Shannon L)