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How was this program designed?
This program is designed around how senior IT professionals actually learn and work.
It is updated almost every week to keep pace with real-world AI changes. Instead of trying to cover everything, nearly 80% of commonly taught AI material is deliberately excluded, so the focus stays on what matters in production systems.
The program is compact by design (~24 hours over 2–3 months) and hands-on, with real projects built during the course. It assumes you already know how to code and focuses on building and reasoning about AI systems, rather than teaching math-heavy theory.
The program is also intentionally hype-free. AI is presented as it behaves in production, including limitations, trade-offs, and leadership decisions around ownership, evaluation, and risk.
Do you provide a Certificate?
No, we don’t believe in certificates but in “real learning”.
Do I need a data science or statistics background?
No.
You do not need a formal background in data science or statistics.
This program is designed for experienced IT professionals who want to:
understand how AI systems actually work in production
make architectural, evaluation, and leadership decisions
lead AI initiatives without becoming data scientists
Core AI concepts are explained only to the extent needed to reason about real-world AI systems, trade-offs, and limitations.
If your goal is to build, evaluate, or lead AI systems, this program is designed for you.
What are the prerequisites?
The prerequisite for the program is Python.
You should be comfortable reading and understanding Python code.
Why choose this program over courses from IITs, IIMs, or MIT?
Short Answer: Because this course is built keeping real learning in mind
Long Answer: If the primary goal is a branded certificate, programs from IITs, IIMs, or MIT may be a better fit.
This program is for senior professionals who want to:
build real AI systems
make informed architecture and leadership decisions
drive AI adoption inside their organisations
It prioritises relevance, speed, and real-world implementation over credentialing.
Will session recordings be made available for later viewing
Yes.
What about query support and resolution?
This is an instructor-led live class program. You can ask questions in class.
Is the instructor recognised by any top institute or government body?
Nikhilesh Tayal is recognised by Google as a Google Developer Expert (AI).
The Google Developer Expert (GDE) program is a highly selective global recognition awarded to practitioners with deep technical expertise and proven real-world impact in their field.
This recognition is based on technical contribution, industry work, and community impact, not paid affiliations or certifications.
How practical is the program? Are there hands-on labs and real projects?
Yes. This is a highly practical, hands-on program.
Each module includes:
Real-world applications aligned with production systems
Do not cover the latest topics like Large Language Models, Generative AI, LLM Agents etc.
Do not cover management topics like – AI/ LLM Security, How to build AI teams, Regulations in AI, Real use cases of AI in businesses etc.
And that’s the reason, we have
Removed almost all Maths and Stats
Made the course end-to-end – It starts with the basics of ML and covers the latest topics of Large language models
Short course
Added management topics like – AI security, regulations, how to build an AI team, the costs involved, real use cases of AI in businesses etc
What are the other courses available out there?
Academic Institutes like MIT, IIT Kanpur, IISc Bangalore, IIM Bangalore etc.
Edtech Platforms like Maven, Upgrad, Simplilearn, Great Learning etc.
Most of the courses from these institutes and edtech platforms are created for students and junior professionals.
While targeting senior professionals, these platforms are offering almost the same course with some generic management lessons. Their main value proposition is “accreditation”.
However, when it comes to course quality they are falling short.
What they do not understand is
Most professionals do not want to re-learn Maths & Statistics to start their AI learning journey
They need a complete offering from Baiscs to the latest and not just basics of AI or Machine Learning
Management lessons should be AI and LLM-specific and not generic ones
Senior professionals do not want to spend 6 months to 2 years learning a new technology, so the courses should be short.
Why don’t you cover Maths, Statistics, and traditional ML theory?
As AI has evolved, most professionals no longer need to build models from scratch. The real challenge today is using existing models correctly for real-world use cases.
Since this program is not aimed at training data scientists or model researchers, we intentionally avoid deep dives into Maths and Statistics that are common in traditional courses.
What will I be able to achieve by the end of the course?
By the end of the program, you will be able to:
Clearly understand what AI can do and, just as importantly, what it cannot do
Identify realistic and high-impact AI opportunities within your business or industry
Design and implement AI-powered solutions that fit real-world constraints
Make informed technical and leadership decisions around AI adoption and execution
Is this course practical? Will I be able to build AI applications after the course?
Yes. This is a practical and rigorous program.
While the overall duration is short, the curriculum is end-to-end and requires active effort. It includes:
25+ hands-on labs
35+ practical, real-world applications
Beyond live sessions, you should expect to spend 2–3 additional hours per session on exercises, labs, and building applications.
By the end of the course, you will be able to design and build AI-powered applications, not just understand concepts theoretically.
Will I get extra support if I need help understanding certain topics?
Yes. Support is available when needed.
This program is taught in a small, focused format, and if you need additional clarification on specific topics, we can address it on a case-by-case basis.
The goal is to ensure you truly understand the concepts and can apply them in your work, not just move through the syllabus mechanically.
Why did you start teaching AI, and how did this course come about?
I have been teaching in different forms since 2005. Over the years, I have taught subjects ranging from Maths, coding and Entrepreneurship, across students and working professionals.
When I later learned AI through well-known courses and self-study, I realised that many AI concepts could be explained much more simply. The complexity often came from how AI was taught, not from the concepts themselves.
I began simplifying AI ideas and teaching them in engineering colleges and technical talks, many of which were attended by senior IT professionals. During these interactions, I kept hearing the same questions:
Are there any courses for a senior professional like me?
Which AI topics are actually relevant for experienced professionals?
Initially, I pointed people to existing popular courses. But after reviewing what was available, it became clear that most programs were not designed for senior professionals. They were either too academic, too generic, or disconnected from real-world decision-making.
That gap is what led me to build dedicated AI courses for senior IT professionals, focused on clarity, relevance, and real-world application.
I am 40+ years old, should I learn AI?
It seems there is no relationship between age and learning AI. We have most of the learners with 15+ years of experience and some even with 25+ years of experience.
Their industry knowledge, system thinking, and decision-making experience often give them an advantage when learning how to apply AI effectively.
How is this different from learning AI through YouTube?
Most online content explains pieces of AI. This program provides a structured, end-to-end understanding of how modern AI systems work, what matters, and what can safely be ignored.
Will this program help me make better AI decisions at work?
Yes. The program is designed to improve how you evaluate AI use cases, understand trade-offs, identify risks, and guide teams or vendors more effectively. The focus is on decision readiness, not just knowledge.
If you are currently facing a genuine financial hardship, you may write to us, we do review such requests on a case-by-case basis.
Do you have a weekday or weekend batch? What are the timings?
There are both weekday and weekend batches.
We will launch the course as per availability.
I am a non-technical senior professional and only want to learn AI tools. Can you help me with that?
This program is not the right fit for that goal.
We teach AI as a technology and system, focusing on how it works, how it can be applied in real business and engineering contexts, and how to make informed decisions around it.
The objective is to help learners build, evaluate, or lead AI implementation, not just use individual tools.
If you are specifically looking for short-term training on AI tools or productivity software, there are many good tool-focused courses available elsewhere.
That is not what we do.
What management and leadership topics are covered in the program?
The program focuses on AI-specific leadership and management topics, rather than generic management frameworks.
These include:
making informed build vs buy decisions for AI systems
evaluating AI feasibility and limitations
managing AI risk, cost, and failure modes
aligning AI initiatives with business goals
leading teams working on AI systems
Our blog regularly explores these topics in depth. You can browse relevant articles here: https://www.aimletc.com/blogs/
Is AI difficult to learn?
AI is just another technology.
Like learning any new skill, whether it’s a technology, a framework, or even a musical instrument, it requires focused effort for a period of time.
So, if we apply ourselves for a few weeks with the right frame of mind, it should not be difficult to learn AI
