Generative AI and LLMs are two modern technologies that can revolutionize the way we work, live, and play. They can help us create new things, solve problems, and understand the world better. We should all learn about these technologies so we can take advantage of the many opportunities they will create in the years to come.
Data Science Dojo Large Language Models Bootcamp
The Data Science Dojo Large Language Models Bootcamp is a 5-day in-person bootcamp that teaches you everything you need to know about large language models (LLMs) and their real-world applications.
Link to Bootcamp -> Large Language Models Bootcamp
Test your large language models and generative AI knowledge
Key topics covered:
- Generative AI and LLM Fundamentals
- A comprehensive introduction to the fundamentals of generative AI, foundation models and Large language models
- Canonical Architectures of LLM Applications
- An in-depth understanding of various LLM-powered application architectures and their relative tradeoffs
- Embeddings and Vector Databases with practical experience
- Prompt Engineering with practical experience
- Orchestration Frameworks: LangChain and Llama Index with practical experience
- Deployment of LLM Applications
- Learn how to deploy your LLM applications using Azure and Hugging Face cloud
- Customizing Large Language Models
- Practical experience with fine-tuning, parameter efficient tuning and retrieval parameter-efficient + retrieval-augmented approaches
- Building An End-to-End Custom LLM Application
- A custom LLM application created on selected datasets
Instructor details:
The instructors at Data Science Dojo are experienced experts in the fields of LLMs and generative AI. They have a deep understanding of the theory and practice of LLMs, and they are passionate about teaching others about this exciting new field.
This bootcamp offers a comprehensive introduction to getting started with building a ChatGPT on your own data. By the end of the bootcamp, you will be capable of building LLM-powered applications on any dataset of your choice.
Location and duration:
The Data Science Dojo LLM Bootcamp has been held in Seattle, Washington D.C and Austin. The upcoming Bootcamp is scheduled in Seattle for Jan 29th – Feb 2nd, 2024. The large language model bootcamp lasts for 5 days. It is a full-time bootcamp, so you can expect to spend 8-10 hours per day learning and working on projects.
Cost:
The Data Science Dojo LLM Bootcamp costs $3,499. There are a number of scholarships and payment plans available.
Prerequisites:
There are no formal prerequisites for the Data Science Dojo LLM Bootcamp. However, it is recommended that you have some basic knowledge of programming and machine learning.
Who should attend?
The Data Science Dojo LLM Bootcamp is ideal for anyone who is interested in learning about LLMs and building LLM-powered applications. This includes software engineers, data scientists, researchers, and anyone else who wants to be at the forefront of this rapidly growing field.
Application process:
To apply for the Data Science Dojo LLM Bootcamp, you will need to complete an online application form here.
AI Planet’s LLM Bootcamp
- Key topics covered: This bootcamp is structured to provide an in-depth understanding of large language models (LLMs) and generative AI. Students will start with the basics and gradually delve into advanced topics. The curriculum encompasses:
- Building your own LLMs
- Fine-tuning existing models
- Using LLMs to create innovative applications
- Duration: 7 weeks, August 12–September 24, 2023.
- Location: Online—Learn from anywhere!
- Instructors: The bootcamp boasts experienced experts in the field of LLMs and generative AI. These experts bring a wealth of knowledge and real-world experience to the classroom, ensuring that students receive a hands-on and practical education. Additionally, the bootcamp emphasizes hands-on projects where students can apply what they’ve learned to real-world scenarios.
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Who should attend: The AI Planet LLM Bootcamp is ideal for anyone who is interested in learning about LLMs AI. This includes software engineers, data scientists, researchers, and anyone else who wants to be at the forefront of this rapidly growing field.
For a prospective student, AI Planet’s LLM Bootcamp offers a comprehensive education in the domain of large language models. The combination of experienced instructors, a hands-on approach, and a curriculum that covers both basics and advanced topics makes it a compelling option for anyone looking to delve into the world of LLMs and AI.
Xavor Generative AI Bootcamp
The Xavor Generative AI Bootcamp is a 3-month online bootcamp that teaches you the skills you need to build and deploy generative AI applications. You’ll learn about the different types of generative AI models, how to train them, and how to use them to create innovative applications.
Link to Bootcamp -> Xavor Generative AI Bootcamp
Key topics covered:
- Introduction to generative AI
- Different types of AI models
- Training and deploying AI models
- Building AI applications
- Case studies of generative AI applications in the real world
Instructor details:
The instructors at Xavor are experienced practitioners in the field of generative AI. They have a deep understanding of the theory and practice, and they are passionate about teaching others about this exciting new field.
Location and duration:
The Xavor Generative AI Bootcamp is held online and lasts for 3 months. It is a part-time bootcamp, so you can expect to spend 4-6 hours per week learning and working on projects.
Cost:
The Xavor Bootcamp is free.
Prerequisites:
There are no formal prerequisites for the Xavor Bootcamp. However, it is recommended that you have some basic knowledge of programming and machine learning.
Who should attend:
The Xavor Bootcamp is ideal for anyone who is interested in learning about generative AI and building its applications. This includes software engineers, data scientists, researchers, and anyone else who wants to be at the forefront of this rapidly growing field.
Application process:
To apply for the Xavor Generative AI Bootcamp, you will need to complete an online application form. The application process includes a coding challenge and a video interview.
Full Stack LLM Bootcamp
The Full Stack Deep Learning (FSDL) LLM Bootcamp is a 2-day online bootcamp that teaches you the fundamentals of large language models (LLMs) and how to build and deploy LLM-powered applications.
Link to Bootcamp -> Full Stack LLM Bootcamp
Key topics covered:
- Introduction to LLMs
- Natural language processing (NLP)
- Machine learning (ML)
- Deep learning
- TensorFlow
- Building and deploying LLM-powered applications
Instructor details:
The instructors at FSDL are experienced experts in the field of LLMs and generative AI. They have a deep understanding of the theory and practice of LLMs, and they are passionate about teaching others about this exciting new field.
Location and duration:
The FSDL LLM Bootcamp is held online and lasts for 2 days. It is a full-time bootcamp, so you can expect to spend 8-10 hours per day learning and working on projects.
Cost:
The FSDL LLM Bootcamp is free.
Prerequisites:
There are no formal prerequisites for the FSDL LLM Bootcamp. However, it is recommended that you have some basic knowledge of programming and machine learning.
Who should attend?
The FSDL LLM Bootcamp is ideal for anyone who is interested in learning about LLMs and building LLM-powered applications. This includes software engineers, data scientists, researchers, and anyone else who wants to be at the forefront of this rapidly growing field.
Application process:
There is no formal application process for the FSDL LLM Bootcamp. Simply register for the bootcamp on the FSDL website.
AI & Generative AI Bootcamp for end users course overview
The Generative AI Bootcamp for End Users is a 90-hour online bootcamp offered by Koenig Solutions. It is designed to teach beginners and non-technical professionals the fundamentals of artificial intelligence (AI) .
Link to Bootcamp -> Generative AI Bootcamp
Key topics covered:
- Introduction to AI
- Machine learning
- Deep learning
- Natural language processing (NLP)
- Computer vision
- Generative adversarial networks (GANs)
- Diffusion models
- Transformers
- Practical applications of AI
Instructor details:
The instructors at Koenig Solutions are experienced industry professionals with a deep understanding of generative AI. They are passionate about teaching others about this rapidly growing field and helping them develop the skills they need to succeed in the AI workforce.
Location and duration:
The Bootcamp for End Users is held online and lasts for 90 hours. It is a part-time bootcamp, so you can expect to spend 4-6 hours per week learning and working on projects.
Cost:
The Generative AI Bootcamp for End Users costs $999. There are a number of scholarships and payment plans available.
Prerequisites:
There are no formal prerequisites for the Generative AI Bootcamp for End Users. However, it is recommended that you have some basic knowledge of computers and the internet.
Who should attend?
The AI & Generative AI Bootcamp for End Users is ideal for anyone who is interested in learning about AI and generative AI, regardless of their technical background. This includes business professionals, entrepreneurs, students, and anyone else who wants to gain a competitive advantage in the AI-powered world of tomorrow.
Application process:
To apply for the AI & Generative AI Bootcamp for End Users, you will need to complete an online application form. The application process includes a short interview.
Additional information:
This Bootcamp for End Users is a certification program. Upon completion of the bootcamp, you will receive a certificate from Koenig Solutions that verifies your skills in AI and generative AI.
The bootcamp also includes access to a variety of resources, such as online lectures, tutorials, and hands-on projects. These resources will help you solidify your understanding of the material and develop the skills you need to succeed in the AI workforce.
Which LLM bootcamp will you join?
Generative AI is being used to develop new self-driving car algorithms, to create personalized medical treatments, and to generate new marketing campaigns. LLMs are being used to improve the performance of search engines, to develop new educational tools, and to create new forms of art and entertainment.
Overall, generative AI and LLMs are two of the most exciting and promising technologies of our time. By learning about these technologies, we can position ourselves to take advantage of the many opportunities they will create in the years to come.
