AI Bootcamp

Bootcamps vary widely in scope and depth, generally targeting individuals seeking clear, concrete outcomes. One of the main advantages they offer is the interactive learning environment between peers and instructors. In the AI space, bootcamps typically fall into several categories: AI programming, ML/Gen AI, foundational model engineering, and specific tracks like FAANG foundational model engineering.

Most bootcamps aim to provide specialized skills for a particular career path—like becoming an ML/Gen AI engineer. These programs often cost $15,000–$25,000, run over six months to a year, and involve a rigorous weekly schedule with around four hours of lectures, two hours of Q&A, and an additional 10–15 hours of homework. Traditional coding bootcamps designed to take someone from a non-technical to a technical role are similar in cost and duration.

In contrast, our program offers a unique approach by balancing practical AI programming skills with a deep understanding of foundational model concepts. Many other AI programming bootcamps focus exclusively on specific areas like Retrieval-Augmented Generation (RAG) or fine-tuning and do not delve into foundational model concepts. This can leave students without the judgment and first-principles reasoning needed to understand and innovate with AI at a fundamental level.

Our curriculum is crafted to cover AI programming while incorporating essential foundational model concepts, giving you a well-rounded perspective and the skills to approach AI with a strong theoretical foundation. To my knowledge, few, if any, bootcamps cover foundational models in a way that empowers students to understand the entire AI model lifecycle, adapt models effectively, and confidently pursue project ideas with guided support.

This bootcamp offers a comprehensive curriculum covering the entire lifecycle of Large Language Models (LLMs). It balances hands-on programming with theoretical foundations, ensuring you gain practical skills and deep conceptual understanding. Highlights include:

• Direct mentorship from Alvin Wan (Apple, Tesla, Berkeley) and Zao Yang (Farmville, Kaspa).
• Hands-on projects like building, deploying, and adapting LLMs.
• Access to industry-standard tools and frameworks like Huggingface, Modal, and LlamaIndex.
• Career-focused outcomes such as consulting opportunities, AI startup guidance, and advanced technical skills.

This bootcamp is tailored for:

• Professionals aiming to implement AI solutions at work (e.g., RAG or private fine-tuning).
• Those interested in building vertical foundational models for specific domains.
• Aspiring consultants or entrepreneurs looking to leverage AI knowledge to create startups or offer services.

The main criteria are a willingness to learn and a commitment to actively participate. While a basic understanding of programming is helpful, the bootcamp assumes no prior AI or machine learning knowledge.

Basic Python programming knowledge is recommended but not mandatory. The bootcamp starts from fundamental concepts and provides all the necessary support to help you succeed.

Total Weekly Time Commitment: Approximately 3 hours for structured activities, including 2 hours of lectures and a dedicated 1-hour Q&A office hours session. Hands-On Programming: Expect to dedicate 2–4 hours for practical programming exercises. Individual Project Work: The time spent on your project is up to you, so you can invest as much as you wish to build your skills. Optional Guidance Sessions: We may add an extra 1-hour session for optional guidance on selecting a niche or project topic. Recordings Available: All sessions will be recorded for those unable to attend live, ensuring that no one misses valuable content. Flexible Scheduling: We’ll schedule the live sessions to best accommodate the group.

Need to be able to program. Need to have a commitment to be able to do the work and ask questions. Some python programming would help just some basic course. You don’t need to do a ML course. We assume nothing for the course.

Ideally you think about the project that you want to create. Some people have AI at their work. Some people want to create a vertical foundational model.

This bootcamp stands out because:

• It combines hands-on programming with foundational model concepts, giving you a holistic understanding of AI.
• It includes real-world applications, guided projects, and personalized mentorship.
• It guarantees project completion with expert reviews from Alvin Wan and Zao Yang.
• Flexible scheduling, recordings, and a supportive learning environment make it accessible and effective.

The curriculum deeply explores generative AI, covering topics like tokenization, transformer models, instruction tuning, and Retrieval-Augmented Generation (RAG). You’ll also learn how to build applications in text, voice, images, video, and multi-modal AI.

Hey {manager}

There's a course called AI Engineer Bootcamp that I'd love to enroll in. It's a live, online course with peers who are in similar roles to me, and it's run on Newline, where 100,000+ professionals from companies like Salesforce, Adobe, Disney, and Amazon go to level up when they need to learn quickly and efficiently.

A few highlights:

• Direct access to Alvin Wan, the expert instructor who worked on LLMs at Apple Intelligence.
• Hands-on working sessions to test new tactics and ideas. Unlike other classes, it teaches the fundamentals of the entire lifecycle of LLMs. This includes being able to understand LLMs and being able to adapt it to specific projects. The course provides a guarantee of being able to build a project. This can apply to a project at work.
• It also provides the latest thinking in the space on how to solve problems we're facing.

I anticipate being able to put my learnings directly into practice during the course. After the course, I can share the learnings with the team so our entire team levels up.

The course costs USD as an early bird discount or X USD through a payment plan. If you like, you can review course details here, including the instructor’s bio:

https://newline.notion.site/AI-live-cohort-1303f12eb0228088a11dc779897d15bd?pvs=4

What do you think?

Thanks, {Your Name}

We can provide a payment plan. In the future, we’ll have different payment plans, but the payment plan is flexible enough for you.

Graduates can pursue careers such as:

• AI engineers with enhanced earning potential (average salary increases of $50k/year).
• Consultants specializing in AI for enterprises or startups.
• Entrepreneurs building AI-driven companies.
• Technical leads in developing and deploying advanced AI solutions.

Yes, you will receive a certificate of completion, demonstrating your expertise in AI concepts and applications.

Yes, the curriculum is highly project-focused. You’ll work on building and deploying LLMs, adapting models with RAG and fine-tuning, and applying AI to real-world use cases, ensuring practical experience and a portfolio of projects.

You can attend this one and also attend the next one as well. Otherwise, you’ll have to wait till the next cohort.

We have a guarantee that we’ll help you be able to build your project. This is that we need to align on the project, the budget, and your time commitment. We’ll need your commitment to be able to work on the project. For example, rag based, fine tuning, building a small foundational model totally within the scope. If you want to build a large foundational model, the project will have to focus on the smaller one first. You’ll have to commit to learn everything needed for the course.

The goal is around 3 personas.

1. Someone wants to apply RAG and instructional fine tuning for private on premise data at work
2. Someone who wants to be able to fine tune a model to build a vertical foundational model
3. Someone who wants to be able to use the AI knowledge for consulting and build AI startups.

Yes. We’ll be covering this and learning how to learn within this space as well.

You’ll have access to:

• Direct mentorship from Alvin Wan and Zao Yang.
• Resources like prompt engineering templates, cheat sheets, and curated datasets.
• Optional guidance sessions for project topics and niche selection.
• Recordings of all sessions for flexible learning.

The curriculum reflects cutting-edge developments in AI, informed by the instructors’ active work in the field. Topics like multi-modal LLMs, RAG, and emerging tools are continuously integrated to ensure relevance.

AI engineers in the USA earn an average salary of $120,000–$200,000 annually, depending on their expertise and experience. Completing this bootcamp can increase your earning potential by $50,000 annually.

Yes, the bootcamp includes a cheatsheet for AI interviews at top companies (e.g., FANG) and guidance for acing technical and business-focused roles in AI.

AI offers diverse career opportunities, including:

• AI/ML Engineer
• Data Scientist
• AI Consultant
• Research Scientist
• AI Startup Founder
• Product Manager for AI-driven solutions