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Best AI YouTube Channels in India (2026-27): 10 to Follow
YouTube is where most people in India start learning AI, and it is also where most people get lost. There are thousands of channels, many repeating the same news. This shortlist picks ten Indian AI channels that were actively posting in October 2026, says which language each one uses, and matches them to beginners, business users, aspiring AI engineers and working developers.
Most people who want to learn AI in India type the same thing into YouTube and get the same wall of thumbnails. Some channels teach properly, some chase every headline, and some stopped uploading a year ago. The difference matters, because AI tools change every few months and a tutorial from early 2025 can teach you buttons that no longer exist.
To build this list we opened each channel’s own YouTube page and its upload feed in October 2026, checked that it had posted recently, listened for the language of recent videos and looked at what it actually covers. We do not quote subscriber numbers: they change daily and say little about whether a channel suits you. This is a shortlist, not a ranking, and no channel paid or asked to be included.
Quick answer: ten AI YouTube channels in India to follow
- Krish Naik (English): generative AI, machine learning and AI career guidance.
- CampusX (Hindi): deep, structured machine learning, LLM and RAG lessons.
- CodeWithHarry (Hindi): programming basics plus AI model reviews and explainers.
- Piyush Garg (mostly Hindi): software engineering and agentic AI system design.
- codebasics (English): data and AI careers, agentic AI design, industry examples.
- Varun Mayya (English): short AI news and business commentary.
- Analytics Vidhya (English): frequent AI tool tutorials and comparisons.
- Apna College (mostly Hindi): student-friendly AI basics and placement advice.
- Abhishek Veeramalla (English): DevOps meets AI agents, MCP and AgentOps.
- Sunny Savita (English in recent uploads): end-to-end generative AI and agent projects.
If you use Claude at work, add Anthropic’s two official channels as well; they are covered in their own section below because they are not Indian channels.
Comparison table
| Channel | Language | Focus | Best for | Activity (Oct 2026) |
|---|---|---|---|---|
| Krish Naik | English | GenAI, ML, deployment, careers | Aspiring AI engineers | Several uploads a week |
| CampusX | Hindi | ML, LLMs, RAG, evaluation | Serious learners | Long lessons every few weeks |
| CodeWithHarry | Hindi | Coding basics, AI reviews | Beginners, students | Regular videos and Shorts |
| Piyush Garg | Mostly Hindi | Agentic AI, system design | Working developers | Weekly or more |
| codebasics | English | Data and AI careers, agent design | Analysts, career switchers | Near daily |
| Varun Mayya | English | AI news, business impact | Founders, managers | Mostly Shorts, near daily |
| Analytics Vidhya | English | Tool tutorials, comparisons | Business users, analysts | Near daily |
| Apna College | Mostly Hindi | AI basics, placements | College students | Every week or two |
| Abhishek Veeramalla | English | DevOps, AI agents, MCP | DevOps and platform teams | Several a week |
| Sunny Savita | English | End-to-end GenAI projects | Hands-on builders | Project series in bursts |
Language is based on the audio of recent uploads; several of these creators switch between Hindi and English, so check two or three videos before you commit.
The ten channels in detail
1. Krish Naik
What it covers. Krish Naik’s channel describes him as the founder of KrishAI Technologies with more than ten years in machine learning, deep learning and computer vision. Recent uploads range from deploying LLMs on serverless GPUs and an AWS SageMaker crash course to model reviews and an AI engineering roadmap. Language: English. A separate Krish Naik Hindi channel holds Hindi crash courses on LangChain, RAG and agents, but its last upload was in April 2026. Cadence: several uploads a week in October 2026. Who it suits: graduates and engineers who want to become AI or ML engineers and like long, code-along tutorials. Krish Naik on YouTube.
2. CampusX
What it covers. Founded by Nitish Singh, CampusX teaches data science and AI in a course-like order. Its recent series goes deep on RAG systems: evaluation, regression testing, operational evals, security testing and monitoring production LLMs with LangSmith. It has also published an AI engineering roadmap and a look at AI hiring in India. Language: Hindi. Cadence: fewer but longer lessons, roughly every one to three weeks. Who it suits: Hindi-speaking learners who want to understand how things work, not just which button to press. CampusX on YouTube.
3. CodeWithHarry
What it covers. A long-running Hindi coding channel with short, demo-led lessons and free notes on its website. Its recent uploads mix AI model reviews and tests, AI news explainers and interview tips with programming content. Language: Hindi. Cadence: regular long videos plus Shorts. Who it suits: students and complete beginners who want to start with Python and get comfortable with AI tools in their own language. CodeWithHarry on YouTube.
4. Piyush Garg
What it covers. A software engineer’s channel about building and shipping real software. Recent uploads include an agentic AI system design crash course, an explainer on LLM training versus inference, and coding-agent experiments, alongside general engineering topics. Language: mostly Hindi, with some English videos. Cadence: about weekly or more. Who it suits: working developers who want to add AI agents to production systems. Piyush Garg on YouTube.
5. codebasics
What it covers. Run by Dhaval Patel and Hemanand Vadivel, codebasics teaches data analytics, data science and AI with a strong career angle. Recent uploads include agentic AI system design (evals, guardrails and cost), what AI product managers need to know, and how AI is changing coding at Indian companies such as MakeMyTrip. Language: English. Note that the channel’s About page lists its location as the United States, although much of the material speaks directly to the Indian job market. Cadence: near daily, including Shorts. Who it suits: analysts and career switchers. codebasics on YouTube.
6. Varun Mayya
What it covers. Short, fast commentary on AI news, security incidents and what technology shifts mean for business, from a creator who says he helps entrepreneurs build software, content and small companies. Language: English. Cadence: mostly Shorts, close to daily. Who it suits: founders, managers and non-technical professionals who want to know what changed this week. Pair it with a tutorial channel, because news alone does not build skill. Varun Mayya on YouTube.
7. Analytics Vidhya
What it covers. The video arm of the Indian data science community of the same name. In October 2026 it was posting tool walkthroughs and comparisons almost daily, including a Claude Code tutorial for beginners, AI-assisted coding best practices, model comparisons and career explainers. Language: English. Cadence: near daily, a mix of full videos and Shorts. Who it suits: business users and analysts who want quick, practical looks at new tools. Analytics Vidhya on YouTube.
For teams
Videos teach the idea. Practice makes it stick.
Most teams watch plenty of AI videos and still struggle to use AI on their own work. We run hands-on sessions where people practise Claude on their real documents, spreadsheets and processes. Book a short call if that would help your team.
8. Apna College
What it covers. A tech education channel focused on students and placements. Its AI content includes a one-shot course on AI and deep learning from scratch and a 20-minute explainer on MCP (Model Context Protocol), alongside interview and hiring-process videos. Language: mostly Hindi. Cadence: every week or two. Who it suits: college students and freshers who want AI basics with career context. Apna College on YouTube.
9. Abhishek Veeramalla
What it covers. An open-source contributor best known for DevOps teaching, now running an “AI Agents Zero to Hero” series that covers MCP and agent memory, plus videos on deploying agents to serverless and Kubernetes, AgentOps and security incidents. Language: English. Cadence: several uploads a week. Who it suits: DevOps, cloud and platform engineers who will run AI agents in production. Abhishek Veeramalla on YouTube.
10. Sunny Savita
What it covers. A data scientist and AI engineer who builds complete projects on camera: a multi-part enterprise agentic AI project on Azure Databricks with LangGraph, a data-parsing playlist for RAG and document AI, LLM fine-tuning methods and LLM serving with vLLM. Language: English in recent uploads. Cadence: project series released in bursts. Who it suits: hands-on builders who learn best by following a full project. Sunny Savita on YouTube.
Also worth a look
- AI Anytime (English): generative AI, RAG and agents; recent uploads lean towards Shorts and product demos.
- Google for Developers India (English): how Indian startups use Gemini, plus developer tips; last upload we saw was 29 September 2026.
- WsCube Tech: a vernacular upskilling platform with marketing, data and AI-for-work videos.
For Claude users: Anthropic's own channels
None of the Indian channels above focus on Claude alone. If your team works in Claude, two official channels from Anthropic are the most reliable source for launches and real workflows:
- Claude: product launches, customer stories and short videos on how people at Anthropic use Claude for everyday work. It posted more than a dozen videos in October 2026.
- Anthropic: model announcements, research and longer conversations about how Claude thinks. It posts less often; its latest upload when we checked was in September 2026.
Official videos show what a feature does. To get it working on your own prompts, read our guides on how to prompt Claude and how to choose the right Claude model.
A four-week starter plan by role
Following a channel is easy; finishing something is harder. Here is a simple four-week plan using the channels above. Swap in a Hindi channel wherever you prefer.
- Business user or manager. Week 1: watch a few Varun Mayya Shorts and one Analytics Vidhya tool walkthrough to see what is possible. Week 2: pick one repetitive task in your job, such as a weekly report or meeting notes. Week 3: try it with your company’s approved assistant and keep the prompt that works. Week 4: show a colleague and write down the steps.
- Student or fresher. Week 1: AI basics from Apna College or CodeWithHarry. Week 2: one Python refresher. Week 3: an explainer on MCP or agents. Week 4: build one small project and put it on GitHub.
- Aspiring AI engineer. Week 1: Krish Naik’s roadmap videos. Weeks 2 and 3: a full CampusX or Sunny Savita series on RAG or agents, coding along. Week 4: add evaluation and guardrails, using codebasics or CampusX on evals.
- Working developer. Week 1: Piyush Garg on agentic system design. Week 2: Abhishek Veeramalla’s agents series. Week 3: wire one agent into a staging environment. Week 4: review cost, logging and security before anything reaches production.
Mistakes to avoid
- Collecting, not finishing. Saving thirty videos to “Watch later” feels productive. Finishing one series teaches more.
- Learning last year’s tool. AI products rename features and change plans often. Check the upload date and the tool’s own documentation before you follow a tutorial step by step.
- Pasting company data into personal accounts. Tutorials often use free personal accounts. At work, use the tools and plans your company has approved.
- Only watching news. Knowing that a new model launched does not mean you can use it. Balance every news channel with a hands-on one. If you prefer reading your news, our shortlist of the best AI newsletters pairs a daily brief with a weekly deep read.
How to choose the right channels
- Start with language. If you think in Hindi, a Hindi channel will teach you faster. CampusX, CodeWithHarry, Piyush Garg and Apna College are strong Hindi options.
- Match the depth to your job. A marketing manager does not need to fine-tune a model. News and tool walkthroughs (Varun Mayya, Analytics Vidhya) fit business users; long tutorials (Krish Naik, CampusX, Sunny Savita) fit people who will build AI systems.
- Check the upload dates. Open the channel’s Videos tab before you subscribe. A playlist from two years ago may teach tools that have since changed or been renamed.
- Prefer channels that show their work. Code on screen, real files and visible mistakes teach more than slides.
- Watch out for course pitches. Many creators sell paid courses. That is fine, but judge the free videos on their own and do not buy anything on the strength of a thumbnail.
- Two channels, not ten. Follow one teaching channel and one news channel. Add a third only when you have finished a series from the first.
A learning routine for teams
Teams in India often share AI videos in a WhatsApp group and nobody watches them. A light routine works better:
- Monday: one person adds two videos to a shared team playlist, picked for the team’s actual work.
- Midweek: everyone watches and writes down one idea they could use.
- Thursday: each person tries that idea on a real task, using the AI tools your company has approved.
- Friday: a 15-minute debrief on what worked and what did not.
- Monthly: keep the prompts and workflows that worked in a shared library, and drop the channels nobody found useful.
The gap this routine exposes is usually practice, not information. People know what an AI agent is; they have not yet used one on their own spreadsheet. That is where structured, hands-on sessions help, whether through corporate Claude AI training for a whole team or an open batch for individuals.
Next step
Turn a playlist into a team skill
We help teams in India pick the right AI tools, agree simple house rules and build repeatable workflows on their own files, online or on-site. Tell us what your team does and we will suggest a format.
How we checked this list
- We visited each channel’s own YouTube page and its public upload feed on 26 October 2026.
- We recorded the dates of the most recent uploads and the share of Shorts, and described cadence from those dates.
- We judged language from the audio and captions of recent videos.
- We describe each channel from its own About text and recent video titles. We did not quote subscriber counts, and we did not include channels run by our own trainers.
If a channel has changed since then, or you think one is missing, tell us and we will review it at the next update.
Key takeaways
- Pick two channels that match your language and level instead of following ten
- Hindi learners have strong options in CampusX, CodeWithHarry, Piyush Garg and Apna College
- Business users get more from news and tool walkthroughs than from long coding tutorials
- Check the upload dates; an inactive channel teaches last year's tools
- For Claude, follow Anthropic's own Anthropic and Claude channels for launches and real workflows
- Videos explain the idea; trying it on your own work is what builds the skill
FAQ
AI YouTube channels in India: common questions
What are the best AI YouTube channels in India?
Our shortlist for 2026-27 is Krish Naik, CampusX, CodeWithHarry, Piyush Garg, codebasics, Varun Mayya, Analytics Vidhya, Apna College, Abhishek Veeramalla and Sunny Savita. All were posting actively in October 2026. The right two for you depend on your language, level and job.
Which AI YouTube channels teach in Hindi?
CampusX and CodeWithHarry teach in Hindi, and Piyush Garg and Apna College publish mostly in Hindi. Krish Naik also has a separate Hindi channel with older crash courses on LangChain, RAG and agents.
What are the best AI YouTube channels for beginners?
Beginners usually do well with Apna College or CodeWithHarry for basics in Hindi, and Analytics Vidhya or Varun Mayya for short English explainers on tools and news. Move to longer tutorials once the basics feel easy.
Which channels are best for learning to build AI agents?
Piyush Garg covers agentic AI system design, Abhishek Veeramalla runs an AI agents series with MCP and agent memory, codebasics covers agent evals and guardrails, and Sunny Savita builds full agent projects step by step.
Can I learn AI only from YouTube?
You can learn the concepts from YouTube. Most people also need practice on their own work, feedback and some structure, which is where a course, a study group or a team routine helps.
Are these channels free?
Yes, the videos are free to watch. Several creators also sell paid courses or cohorts; buying them is optional and not needed to follow the free content.
Why don't you show subscriber numbers?
Subscriber counts change every day and do not tell you whether a channel teaches well or suits your level. We focused on what each channel covers, its language and whether it is still posting.
Is there an official YouTube channel for Claude?
Yes. Anthropic runs two: the Claude channel for product launches and how-to videos, and the Anthropic channel for model announcements and research. Both are on YouTube under those names.
Which channel is good for managers and business users, not coders?
Varun Mayya for short news and business context, Analytics Vidhya for tool walkthroughs, and codebasics for how AI is changing roles. Pair any of them with hands-on practice on your own work.
How often is this list updated?
We checked every channel in October 2026 and plan to review the list periodically. Channels that stop posting regularly will be replaced.
Why isn't a well-known channel on the list?
We kept to channels that focus on AI, posted recently and suit a clear audience. Many good general tech or news channels cover AI occasionally but were not a fit for a focused shortlist.
How can my team move from watching videos to using AI at work?
Pick a weekly video, try the idea on a real task, and debrief briefly. For faster results, our Claude AI training in India runs hands-on sessions on your team’s own files, online or on-site.
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