--- title: 'Live AI Engineering Bootcamp for Software Engineers' source: 'https://youtube.com/watch?v=gLP3zllCYxc' video_id: 'gLP3zllCYxc' date: 2026-07-31 duration_sec: 515 --- # Live AI Engineering Bootcamp for Software Engineers > Source: [Live AI Engineering Bootcamp for Software Engineers](https://youtube.com/watch?v=gLP3zllCYxc) ## Summary The video announces a new live AI engineering bootcamp for software engineers with at least 2 years of experience. It details the schedule, curriculum, and additional career-focused features, emphasizing practical, industry-relevant learning. The speaker also highlights the benefits of a live format over self-paced courses, including doubt resolution and real-time collaboration. ### Key Points - **Live bootcamp launch** [00:01] — Announces a new live AI engineering bootcamp; a survey showed 134 software professionals interested in the format. - **Class schedule** [00:32] — Live classes on Wednesday and Saturday, 7–11 PM IST: 2 hours learning, 30-minute break, 1 hour doubt clearing. - **Eligibility criteria** [00:57] — For software engineers with at least 2 years of experience; assumes programming, design thinking, and system design knowledge. - **Transfer learning pedagogy** [01:12] — Maps concepts from known languages like Java to Python to speed up learning. - **Program duration** [01:25] — 8 weeks, two sessions per week, 16 sessions total; highly practical and project-oriented from day one. - **Curriculum overview** [02:40] — LLM foundations, RAG, vector DB, agentic AI, context engineering, multi-agent systems; based on real client work at ATL Technologies. - **AI-first development** [03:24] — Covers evaluation, observability, monitoring, cloud AI, and v coding principles (claw.md, skills.md) for faster project development. - **Soft skills and hackathon** [03:56] — Includes mindset training for uncertainty, orchestration, and ends with a group hackathon to publish projects and build credibility. - **Bonus recorded content** [04:39] — Students receive the entire self-paced JNI bootcamp (6–8 months of lectures) for deeper theory on math, statistics, ML, and DL. - **Career development extras** [06:28] — Features include project portfolio website, LinkedIn optimizer, and an interview practice platform with Python code evaluation. ### Conclusion This live bootcamp is positioned as a fast-paced, industry-focused pathway for experienced software engineers to gain practical AI skills, with the added value of live interaction, a hackathon, and career support tools. ## Transcript launching a live AI engineering boot camp for software engineers. There's a lot of demand from software professionals to learn AI. We in fact conducted a survey and 134 people showed interest. Now, we have a regular self-paced AI engineering boot camp. This new live boot camp is going to be different from that. In this video, I'm going to explain the details of this new boot camp and also discuss uh who will benefit the most from this live format. We will have live classes on Wednesday and Saturday 7 to 11:00 p.m. IST where there will be 2 hours of learning, 30 minutes of break, 1 hour of uh doubt minutes of break, 1 hour of uh doubt clearing. Now this will be suitable for software engineers with minimum 2 years of experience. If you don't have minimum 2 years of experience in software engineering, this boot camp is not for you because we are going to assume you have knowledge of programming uh you have knowledge of programming uh you know design thinking, system design etc. And when we teach Python, we are going to use Python or pretty much any other concept. We are going to use this transfer learning technique where let's say you know Java, you know certain concepts in Java and we will map them to Python concepts. So it will be a fastpaced twomon boot camp. Every week we are having two sessions. So total 8 weeks, every week two sessions. So total sessions will be 16 sessions. And that's it folks. Okay, it will be very practical boot camp from very first lecture itself. We will start building the things. Now I have this AI and data consultancy company called ATL technologies where we work on real AI projects from our clients in UAE and US. We have gained a lot of knowledge by working on this real projects and we are going to use that knowledge to teach going to use that knowledge to teach you. it will be very much industry you. it will be very much industry relevant and once again I want to uh say this again that this is for software engineers with minimum 2 years experience these software engineers are working professionals they don't have time to watch self-paced videos etc and that is the reason we are coming up with that is the reason we are coming up with this live format also the world of AI is changing fast okay things are evolving fast therefore we want to teach things live so that if something new comes up we can incorporate it in this uh particular boot camp. Now if you're curious about the content then in that curious about the content then in that we will have uh LLM foundation we'll start with that we'll cover the fundamentals of rag vector DB uh even in ATLIC when we get projects many projects are rag projects okay so we are just covering what is happening in the real life then advanced agentic context engineering multi- aent system I'm giving you some rough curriculum this is going to evolve we will include clude features that will help you the most. Okay, we are going to talk about evaluation of course very important evaluation of course very important observability monitoring AI in cloud AI first development v coding has become a norm nowadays. So how do you use AI first development to develop projects fast? You know claw.md skills.mmd and some of the other principles of w coding we will teach and we are going to build any number of products throughout the boot camp. So it will be very much hands-on boot camp. Now the important feature in this boot camp is the soft skills. So we are going to teach you mindset to be successful in to teach you mindset to be successful in this uncertain times. Uh we will teach orchestration, uh so many things which will help you perform the best in this uh time period perform the best in this uh time period of major technology shift. Then at the of major technology shift. Then at the end we will have a hackathon. So we'll form groups uh among the live cohort students. They will participate in hackathon. We will uh give you access uh of a tool or a platform where you can publish your projects and you can build your online projects and you can build your online credibility. Now in addition you are credibility. Now in addition you are going to get our entire current JNI boot camp which is self-paced. Okay folks. So this is the boot camp. Here we have uh recorded lectures. So let's say at any point uh you want to refer to a particular concept then you can do that. See this live boot camp is only 2 months See this live boot camp is only 2 months fastpace you learn quickly you learn to build AI projects quickly. But let's say we have a session on Wednesday and Saturday and remaining days you want to go in depth and uh learn some more theory more mathematics and so on then we have huge content here. This content is worth 6 to 8 months actually. So it's up to you if you want to let's say math and statistics we have actually projects also. So if you want to do it, you will get access to this uh entire boot camp. Some of you may have question if we are going to teach statistical ML and deep learning or not. Well, right now the plan is to teach you generative AI, agentic AI, something that is very prevalent in the industry uh in this live boot camp. If you want to learn traditional ML, deep learning etc. You are given this uh boot camp which is self-paced and you can watch videos and learn it on your own. If you look at ongoing projects in the industry, majority of these projects are related to geni a genti. So we want to teach you what is most relevant uh in the industry and then of course statistical ML and deep learning is also used. For that you can refer to this particular boot camp's content and video lectures. Other than the teaching content, we will have many other features such as project portfolio website. So if you want to transition as a full-time AI engineer, we will uh give you this feature where you can build your project portfolio LinkedIn optimizer. Uh we will give interview practice platform where you can uh practice by writing Python code uh just like hacker rank and you can uh practice on those interview questions. We will evaluate your code. We will also provide you several other career development features or portals. Okay, this particular boot camp if you have already bought it then you will get price reduction. If you're interested in that uh go with it. Uh and then DA and DE we have many data analyst and data engineering students. They will also get some price uh reduction. Uh you can check our page for further details. Folks, I'm super excited about this boot camp because as I said before it is the first time that I'm doing it live and live interaction of course has lot of value. You have doubts we will resolve those doubts. You will write code along with me. There is going to be lot of practical learning and it will be fastpace. You spend two months with us and you will start building the projects. Okay. Many software engineers who are working in the industry right now have a need of integrating AI features in their current software stack. It will help those people. It will also help those people who want to transition full-time into AI engineering role. All right. Check video description for the link below. If you have any other questions, post in the comment box below. We will answer those. Thank you very much for watching. And if you have a friend or somebody who is a software engineer who wants to learn AI, please uh feel free to share this information with them.