Highest-Paying AI Jobs in India (2026-27): Top 10 Roles With Salary Data
Quick answer: the highest-paying AI jobs in India are leadership and senior specialist roles: director of data science or AI (AmbitionBox’s typical range ₹74.7–82.6 lakh a year at 10–20 years’ experience), forward deployed engineer (₹35–45 lakh for early-stage roles in a CIEL HR study), senior applied scientist, staff ML engineer and principal data scientist. Entry-level AI salaries are far lower, and pay depends more on the company than on the title. These are ranges reported by named sources, not promises.
- ✓10 AI roles, with what each does and the skills it needs · and how people move in
- ✓Salary ranges from AmbitionBox, CIEL HR and Salary.com · each with its sample and date
- ✓Fresher roles, city and industry differences · and the AI jobs that pay less than you think
Moving into an AI role, or upskilling a team? Live, hands-on training on real work. Tell us your goal · Book a free call
Written by an AI trainer whose clients include teams at companies like these
How to read AI salary figures without being misled
Search for this topic and you will find blogs quoting ₹50 lakh or ₹1 crore for almost every AI title, often with no source. We used only figures we could open and check, and we show the sample behind each one.
Where the numbers come from
Most ranges below are AmbitionBox’s “typical salary range” for the job title in India, built from salaries submitted by employees, with the experience band and number of salaries it is based on. We checked October 2026 (pages updated between 9 and 26 October 2026). Where AmbitionBox has no page, we use a named study or Salary.com and say so.
Small samples, big caveats
Some new titles have only a few dozen salaries behind them, such as LLM engineer (27) or senior applied scientist (19). We flag those. A title with 60,000 salaries behind it, like data scientist, is a far steadier guide.
Ranges, not promises
These are ranges reported by each source, not offers and not guarantees. The same title can pay three or four times more at a global product company than at an IT services firm. No course, bootcamp or certificate guarantees any of these salaries.
Highest-paying AI jobs in India: the salary table
Reported annual ranges for each role, with the experience band and the source behind them, checked October 2026. Ranked editorially by the top reported range for the role’s senior level; the entries below give the junior figures too.
| # | Role | Reported range (per year) | Experience band | Source and sample | |
|---|---|---|---|---|---|
| 1 | Director of data science / AI | ₹74.7–82.6 lakh | 10–20 years | AmbitionBox | , 290 salaries |
| 2 | Forward deployed engineer | ₹35–45 lakh early-stage; ₹70–90 lakh experienced | Not stated | CIEL HR study, Aug 2026 | |
| 3 | Applied scientist | ₹73.9–81.7 lakh (senior); ₹34.6–38.2 lakh | 4–9 years (senior); 1–6 years | AmbitionBox | , 19 and 39 salaries |
| 4 | Machine learning engineer (staff to lead) | ₹66.6–83.1 lakh (staff); ₹35–39.2 lakh (lead) | 2–16 years; 4–12 years | AmbitionBox | , 49 and 261 salaries |
| 5 | Principal data scientist | ₹52.2–57.7 lakh | 7–18 years | AmbitionBox | , 940 salaries |
| 6 | AI solution architect | ₹35.9–41.6 lakh | 7–20 years | AmbitionBox | , 84 salaries |
| 7 | Lead AI engineer | ₹36.8–40.7 lakh | 1–16 years | AmbitionBox | , 322 salaries |
| 8 | AI product manager | ₹28.2–31.1 lakh | 0–20 years | AmbitionBox | , 516 salaries |
| 9 | Generative AI / LLM engineer | ₹17.4–19.2 lakh (senior GenAI); ₹14–15.5 lakh (LLM) | 2–9 years; 1–4 years | AmbitionBox | , 34 and 27 salaries |
| 10 | MLOps engineer | ₹13.5–15.6 lakh | 1–8 years | AmbitionBox | , 207 salaries |
AmbitionBox ranges are for India across all cities and company types. Figures are gross annual pay as reported by the source; in-hand pay is lower after tax and deductions.
The 10 highest-paying AI jobs in India, role by role
For each role: what the job is, the skills it needs, how people usually move in, and the salary ranges reported by named sources, with the sample size behind each figure.
1Director of data science or AI
Typical route: data scientist or ML engineer → lead → manager → director
The top of the AI salary ladder in India is leadership, not a single technical skill. A director of data science or AI sets the roadmap, decides which problems are worth solving with machine learning or generative AI, hires and grows the team, and answers to the business for results. In global capability centres (GCCs) and product companies this often includes governance: model risk, data protection and responsible AI.
Skills that matter: a strong technical base, portfolio thinking (which ten use cases, in what order), stakeholder management, budgeting, and the judgement to kill projects that will not pay back. How people move in: rarely by course alone; usually after years leading a data science or ML team and shipping systems that the business still uses.
| Reported range | ₹74.7–82.6 lakh a year (AmbitionBox, 10–20 years’ experience, 290 salaries) |
| One step below | Data science manager: ₹37–40.9 lakh (5–14 years, 2,600 salaries) |
| Where these roles sit | GCCs, product companies, large banks and consulting firms |
Pros
- Highest pay ceiling in this list
- Shapes strategy, not just models
Cons
- Takes a decade or more
- Few roles, strong competition
Sources: AmbitionBox: director data science · AmbitionBox: data science manager, checked October 2026
2Forward deployed engineer (FDE)
Typical route: software engineer or solutions engineer plus applied AI
An FDE takes an AI product into one customer’s business and makes it work there: discovery with non-technical people, building retrieval pipelines and agents against the customer’s real systems, and staying until it runs in production. AI labs and enterprise software companies now hire FDEs in India. A CIEL HR study published in August 2026 reported a 130% rise in FDE hiring, with 52 organisations recruiting in July 2026.
Pay data for this new title is thin and inconsistent, so we show two sources that disagree. For the skills checklist, projects and interview questions, see our forward deployed engineer roadmap.
| CIEL HR (Aug 2026) | Early-stage FDE roles ₹35–45 lakh; experienced specialists ₹70–90 lakh; some AI infrastructure mandates ₹80 lakh–1.4 crore |
| Salary.com | Median ₹14,07,380; 25th–75th percentile ₹11.3–16.5 lakh (data as of 22 April 2025) |
| Core skills | Production Python and APIs, RAG, agents and MCP, evaluation, cloud deployment, customer discovery |
Pros
- Fast-growing demand
- Combines engineering with client impact
Cons
- Public salary data is thin and contradictory
- Usually needs several years of engineering
Sources: CIEL HR study via CXOToday · Salary.com, checked October 2026
3Applied scientist or AI research scientist
Typical route: MTech, MS or PhD in ML; strong publications or competition record
Applied scientists turn research into product: new ranking, recommendation, speech or language models, trained and evaluated at scale. Research scientists push further toward new methods. In India these roles cluster in big tech labs, e-commerce and a few AI-first startups.
Skills: deep learning, statistics, experiment design, PyTorch, reading and reproducing papers, large-scale training. How people move in: usually through a research-heavy master’s or PhD, internships at research labs, or a strong track record as an ML engineer on modelling work.
| Senior applied scientist | ₹73.9–81.7 lakh (4–9 years; only 19 salaries, so treat with care) |
| Applied scientist | ₹34.6–38.2 lakh (1–6 years; 39 salaries) |
| AI research scientist | ₹15.7–17.3 lakh (0–12 years; 22 salaries) |
Pros
- Very high ceiling at top labs
- Intellectually demanding work
Cons
- Small number of roles
- Advanced degrees usually expected
Sources: senior applied scientist · applied scientist · AI research scientist (AmbitionBox), checked October 2026
4Machine learning engineer (senior to staff)
Typical route: software engineer or data scientist → ML engineer
ML engineers build, deploy and maintain the systems that train and serve models: feature pipelines, training jobs, model serving, monitoring and, increasingly, LLM-based features. It is the single most common well-paid AI role in India, and the spread is huge. AmbitionBox shows ML engineers at Google reporting ₹25.8–37.9 lakh and at TCS ₹6.4–7.2 lakh for the same title.
Skills: Python, data structures, ML fundamentals, cloud, Docker, model serving, monitoring and now LLM APIs and evaluation. How people move in: from backend engineering by adding ML and shipping one model into production, or from data science by getting much stronger at engineering.
| Staff ML engineer | ₹66.6–83.1 lakh (2–16 years; 49 salaries) |
| Lead ML engineer | ₹35–39.2 lakh (4–12 years; 261 salaries) |
| Senior ML engineer | ₹27.3–30.2 lakh (2–9 years; 2,000 salaries) |
| ML engineer | ₹12.6–13.9 lakh (1–6 years; 9,800 salaries) |
Pros
- Many openings at every level
- Clear progression to staff and principal
Cons
- Pay varies widely by employer
- On-call and production pressure
Sources: staff · lead · senior · ML engineer (AmbitionBox), checked October 2026
5Principal data scientist
Typical route: data scientist → senior → lead → principal
A principal data scientist is the senior individual contributor of a data science team: framing ambiguous business questions, choosing methods, reviewing others’ work and owning the models that matter most, from pricing and risk to forecasting and experimentation. Data science is the largest AI-adjacent title on AmbitionBox, with over 61,000 salaries reported.
Skills: statistics, experimentation, SQL and Python, ML, causal thinking, and explaining results to leaders. How people move in: from analyst or engineering roles via a strong portfolio of real analyses, then years of delivery.
| Principal data scientist | ₹52.2–57.7 lakh (7–18 years; 940 salaries) |
| Lead data scientist | ₹34.1–37.7 lakh (5–14 years; 4,800 salaries) |
| Senior data scientist | ₹28.2–31.2 lakh (3–11 years; 17,300 salaries) |
| Data scientist | ₹15.2–16.8 lakh (1–8 years; 61,700 salaries) |
Pros
- Large, mature job market
- Senior IC path without managing people
Cons
- Crowded at junior level
- Generative AI is changing what juniors do
Sources: principal · lead · senior · data scientist (AmbitionBox), checked October 2026
6AI solution architect
Typical route: solution or cloud architect → AI specialisation
AI solution architects design how AI fits into an organisation’s systems: which models, where data lives, how retrieval and agents connect to existing applications, security and access control, and cost. They work with sales before a deal and with delivery teams after it.
Skills: cloud architecture, integration patterns, data platforms, LLM and RAG design, security and governance, writing clear designs. How people move in: mostly from cloud, data or enterprise architecture by adding hands-on generative AI build experience.
| AI solution architect | ₹35.9–41.6 lakh (7–20 years; 84 salaries) |
| Data architect | ₹33.9–37.4 lakh (8–18 years; 2,900 salaries) |
| Solution architect (all) | ₹32.4–35.8 lakh (8–18 years; 23,200 salaries) |
Pros
- Senior, well-paid and in demand
- Broad view across business and tech
Cons
- Needs years of architecture experience
- Less hands-on coding
Sources: AI solution architect · data architect · solution architect (AmbitionBox), checked October 2026
7AI engineer (lead and mid-level)
Typical route: software engineer → AI engineer
“AI engineer” has become the umbrella title for engineers who build products on top of models: LLM features, retrieval, agents, evaluation and the plumbing around them. It overlaps with ML engineering but leans more on APIs and less on training. Coding agents such as Claude Code are now part of the daily toolkit.
Skills: strong software engineering, LLM APIs and structured output, RAG, agents and MCP, evaluation, cost and latency control. How people move in: by shipping two or three AI features at work or in a portfolio; a weekend AI engineering bootcamp is a common route.
| Lead AI engineer | ₹36.8–40.7 lakh (1–16 years; 322 salaries) |
| AI/ML engineer | ₹16.5–18.2 lakh (0–6 years; 10,600 salaries) |
| AI engineer | ₹15–16.5 lakh (1–6 years; 5,300 salaries) |
Pros
- Fastest route for existing developers
- Lots of openings
Cons
- Title used loosely by employers
- Tools change every few months
Sources: lead AI engineer · AI/ML engineer · AI engineer (AmbitionBox), checked October 2026
8AI product manager
Typical route: product manager, engineer or analyst → AI PM
AI product managers decide what an AI feature should do, how to measure whether it works, and when it is safe to ship. The job adds evaluation, failure modes, data needs and cost to the usual product work. It is one of the few high-paying AI roles that does not require writing production code.
Skills: product discovery, writing specs and evaluation criteria, prototyping with AI tools, basic understanding of RAG and agents, data literacy. How people move in: from product management by leading one AI feature end to end, or from engineering and analytics into product.
| AI product manager | ₹28.2–31.1 lakh (0–20 years; 516 salaries) |
| Senior product manager (all) | ₹36.1–39.9 lakh (5–15 years; 22,700 salaries) |
Pros
- High pay without heavy coding
- Visible, cross-functional role
Cons
- Hard to enter without product experience
- Accountable for fuzzy outcomes
Sources: AI product manager · senior product manager (AmbitionBox), checked October 2026
9Generative AI or LLM engineer
Typical route: developer → GenAI engineer
GenAI and LLM engineers build applications on large language models: retrieval systems, agents, fine-tuning, guardrails and evaluation. It is the title most blogs put at the top of AI salary lists. The reported data is more modest: AmbitionBox’s generative AI engineer page (633 salaries, 0–13 years) shows a typical range of ₹9.2–10.1 lakh, because many holders of the new title are early in their careers. Senior people with the same skills often carry the titles in entries 4 and 7.
Skills: LLM APIs, RAG, agent frameworks, fine-tuning with PEFT, evaluation, prompt and context design, deployment. How people move in: by building and shipping LLM projects; this is where most AI bootcamps in India focus.
| Senior generative AI engineer | ₹17.4–19.2 lakh (2–9 years; 34 salaries) |
| LLM engineer | ₹14–15.5 lakh (1–4 years; 27 salaries) |
| Generative AI engineer | ₹9.2–10.1 lakh (0–13 years; 633 salaries) |
Pros
- Direct demand from AI-first companies
- Skills transfer to AI engineer and FDE roles
Cons
- Reported pay lower than headlines suggest
- Small samples for senior titles
Sources: senior GenAI engineer · LLM engineer · generative AI engineer (AmbitionBox), checked October 2026
10MLOps engineer
Typical route: DevOps or data engineer → MLOps
MLOps engineers keep models running: automated training and deployment pipelines, model registries, monitoring for drift and failures, and the infrastructure for serving LLMs at a sensible cost. As companies move from AI pilots to production, this work becomes the bottleneck, which is why the role is on this list despite a modest headline range.
Skills: Docker, Kubernetes, CI/CD, a cloud platform, ML pipelines, observability, and increasingly LLM serving and GPU cost control. How people move in: from DevOps or data engineering by running one model pipeline end to end.
| Reported range | ₹13.5–15.6 lakh a year (AmbitionBox, 1–8 years’ experience, 207 salaries) |
| Next step | ML platform lead or staff ML engineer (see entry 4) |
Pros
- Natural move for DevOps and data engineers
- Production skills stay valuable as tools change
Cons
- Lower headline range than research roles
- Small sample on AmbitionBox
Source: AmbitionBox: MLOps engineer, checked October 2026
Highest-paying AI jobs in India for freshers
Freshers rarely start in the roles above. These are the entry titles with the most data on AmbitionBox, checked October 2026. Monthly figures are simply the annual range divided by twelve, before tax and deductions, to answer the “per month” question.
| Entry-level title | Reported range (per year) | About per month, before tax | Experience band and sample |
|---|---|---|---|
| Associate data scientist | ₹9.5–10.5 lakh | ₹79,000–87,500 | 0–5 years; 3,400 salaries |
| Junior data scientist | ₹6.1–6.8 lakh | ₹51,000–57,000 | 0–4 years; 310 salaries |
| Generative AI engineer | ₹9.2–10.1 lakh | ₹77,000–84,000 | 0–13 years; 633 salaries |
| Computer vision engineer | ₹11–12.2 lakh | ₹92,000–1,02,000 | 0–5 years; 1,100 salaries |
| Data science intern | ₹3.3–3.7 lakh | ₹27,500–31,000 | 0–4 years; 5,100 salaries |
| AI engineer intern | ₹3.6–4 lakh | ₹30,000–33,000 | 0–2 years; 53 salaries |
What actually helps freshers
Two or three projects that solve a real problem, deployed and written up; internships; open-source contributions; and strong fundamentals in Python, SQL and statistics. Certificates help a CV get past filters, but hiring managers ask what you built. Our guide to AI certifications in India covers which ones employers recognise.
AI jobs that pay less than you think
Some titles that sound lucrative report modest ranges. Prompt engineer is the clearest example. Sources: prompt engineer, NLP engineer, deep learning engineer, data engineer and the fresher titles above (AmbitionBox).
| Title | Reported range (per year) | Why it matters |
|---|---|---|
| Prompt engineer | ₹6–6.6 lakh (0–18 years; 351 salaries) | Prompting is now a skill inside most jobs, not a premium job on its own |
| NLP engineer | ₹10.6–12.6 lakh (1–8 years; 207 salaries) | Much NLP work has moved to LLM engineering titles |
| Deep learning engineer | ₹12.5–14 lakh (0–6 years; 420 salaries) | Solid, but below ML engineer at senior levels |
| Data engineer | ₹11.5–12.7 lakh (1–7 years) | A strong feeder role for MLOps and AI engineering |
Fresher sources: associate data scientist · junior data scientist · computer vision engineer · data science intern · AI engineer intern (AmbitionBox).
Company, industry and city: what really drives AI salaries
Using the machine learning engineer title, which has 9,800 salaries on AmbitionBox, you can see how much the same job varies. The industry gap is bigger than the city gap. Source: AmbitionBox ML engineer salaries, checked October 2026.
| City | ML engineer range (AmbitionBox) | Industry | ML engineer range (AmbitionBox) |
|---|---|---|---|
| Bengaluru | ₹13.4–14.8 lakh (2,700 salaries) | Internet | ₹18.2–20.8 lakh |
| Hyderabad | ₹12.4–13.7 lakh (1,300) | Analytics and KPO | ₹18.4–20.4 lakh |
| Mumbai | ₹10.8–11.9 lakh (650) | Software product | ₹17.6–19.5 lakh |
| Chennai | ₹10.7–11.9 lakh (645) | Management consulting | ₹14.3–15.9 lakh |
| Pune | ₹10–11.1 lakh (1,500) | IT services and consulting | ₹9.7–10.7 lakh |
Company type first
Internet, product and analytics firms report roughly double the ML engineer range of IT services firms. Moving employer type often raises pay more than changing title.
Seniority second
Across every role, the jump from mid-level to lead or staff is where AI pay pulls away. That jump comes from owning systems in production, not from more courses.
Location third
Bengaluru and Hyderabad lead for ML engineers, but remote roles with global companies and GCCs are narrowing the gap for people elsewhere.
How to move into a high-paying AI role from where you are
The route depends on your starting point. In every case, employers pay for proof that you have shipped something that works, not for the number of courses you completed.
Software engineers
Aim for AI engineer, then FDE or ML engineer. Ship RAG and agent projects, learn evaluation and deployment, and use AI coding agents daily. Teams can build these skills together with hands-on Claude Code training or FDE corporate training built around their own codebase. Individual engineers can follow a forward deployed engineer course with 1-to-1 coaching on their own project.
Analysts and data people
Aim for data scientist, then ML engineer or principal. Strengthen statistics and Python, ship one model to production, and learn to explain results to leaders.
Product, operations and business people
Aim for AI product manager or an AI-enabled version of your current role. Learn what models can and cannot do, prototype with no-code agents, and lead one AI project at work. Agentic AI training shows teams how to design and supervise agents without coding.
Freshers and students
Start with fundamentals and two deployed projects. Follow the free AI learning path, then add a recognised certification and an internship.
Courses that map to these routes: agentic AI courses, Claude Code courses and generative AI courses in India. If you want structure and deadlines, compare the AI bootcamps in India.
Not changing jobs? AI still changes what your work is worth
Most people reading this will not become ML engineers, and do not need to. The bigger shift is that every role now has an AI-assisted version that gets more done in the same week.
For individuals
Use AI on your own reports, analysis, proposals and emails until it is routine. The skills overlap with the AI product manager and AI engineer roles above, and they compound: every workflow you build saves time again next week.
For teams
Hiring AI specialists at the salaries above is expensive and slow. Training the team you already have to use AI on its real work is faster: people bring their own tasks, finish them with AI under supervision, and leave with workflows they use the next morning, so the organisation executes faster.
| Trained | 200,000+ professionals across 16+ countries |
| Clients | Google, Microsoft & Tata Group among them |
| Expertise | LLMs, AI agents, prompt engineering & automation |
| Author | Generative AI 360° |
| Faculty | Visiting faculty, K J Somaiya Institute of Management |
| Experience | 17+ years · 4.8★ average session rating |
Who wrote this guide, and how the data was gathered
This guide is by Hitesh Motwani, an AI trainer and the author of Generative AI 360°. He has trained 200,000+ professionals across 16+ countries, runs leadership-focused AI training for founders and CXOs, and is visiting faculty at the K J Somaiya Institute of Management.
Method. On 26 October 2026 we opened AmbitionBox’s India salary page for each job title and recorded the typical range, experience band, number of salaries and update date. Where AmbitionBox had no page (forward deployed engineer), we used CIEL HR’s August 2026 study as reported by CXOToday and Salary.com’s India estimate. We left out figures we could not open and check, and we never present a range as a promise.
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Highest-paying AI jobs in India: questions answered
Which AI job pays the most in India?
Leadership and senior specialist roles. AmbitionBox reports a typical range of ₹74.7–82.6 lakh a year for directors of data science (10–20 years’ experience), and similar ranges for senior applied scientists and staff ML engineers, though those two have small samples. A CIEL HR study put experienced forward deployed engineers at ₹70–90 lakh.
What is the salary of an AI engineer in India?
AmbitionBox shows a typical range of ₹15–16.5 lakh a year for AI engineers with 1–6 years’ experience (5,300 salaries) and ₹16.5–18.2 lakh for AI/ML engineers with 0–6 years (10,600 salaries). Lead AI engineers report ₹36.8–40.7 lakh.
Which are the highest-paying AI jobs in India for freshers?
Among entry titles with solid data, associate data scientist (₹9.5–10.5 lakh, 0–5 years) and computer vision engineer (₹11–12.2 lakh, 0–5 years) report the highest typical ranges on AmbitionBox. Internships report about ₹3.3–4 lakh a year.
What do the highest-paying AI jobs pay per month?
Dividing AmbitionBox’s annual ranges by twelve, before tax: about ₹6.2–6.9 lakh a month for directors of data science, ₹2.3–2.5 lakh for senior ML engineers, ₹1.3–1.4 lakh for data scientists and ₹79,000–87,500 for associate data scientists. In-hand pay is lower after tax and deductions.
What is a forward deployed engineer’s salary in India?
Estimates differ widely. CIEL HR’s August 2026 study put early-stage FDE roles at ₹35–45 lakh and experienced specialists at ₹70–90 lakh. Salary.com’s estimate, based on April 2025 data, shows a median of about ₹14.1 lakh. Our FDE roadmap covers the skills behind the role.
Is prompt engineering a high-paying job in India?
Not on its own. AmbitionBox reports a typical range of ₹6–6.6 lakh a year for prompt engineers (351 salaries). Prompting is now a skill inside most AI and non-AI jobs rather than a premium standalone role.
Can I get a high-paying AI job without coding?
Yes, but fewer of them. AI product manager (₹28.2–31.1 lakh on AmbitionBox) is the main example, along with AI strategy and leadership roles. Most other roles on this list need programming.
Do I need a master’s or PhD for a high-paying AI job?
For applied scientist and research roles, usually yes. For ML engineer, AI engineer, FDE, MLOps and AI product roles, employers care more about what you have built and shipped than about the degree.
Which city pays the most for AI jobs in India?
For ML engineers, AmbitionBox shows Bengaluru highest (₹13.4–14.8 lakh), then Hyderabad, Mumbai, Chennai and Pune. The industry gap is bigger: internet and analytics firms report about double the range of IT services firms.
Does an AI course or certification guarantee a high salary?
No. Courses, bootcamps and certifications can help you learn and get noticed, but no programme can guarantee a job or a salary. Employers pay for proof of work and experience.
How long does it take to move into an AI role?
For an experienced software engineer, often six to twelve months of focused building to reach AI engineer interviews. For people starting from non-technical roles, AI product or AI-enabled versions of their current job are quicker routes than engineering.
Are AI jobs in India growing in 2026?
Demand is shifting toward people who can take AI into production. CIEL HR reported a 130% rise in forward deployed engineer hiring over the year to July 2026, across 52 organisations recruiting for the role.
Does Hitesh Motwani offer training for AI roles?
Hitesh runs live, hands-on AI training: Claude Code, agentic AI and FDE skills for developer teams, and AI on real work for business teams and individuals. It is training, not a placement programme. Send your goal through the form on this page.
Keep learning
- Forward deployed engineer roadmapSkills, projects and interview prep
- Forward deployed engineer courseSyllabus, capstone and formats
- FDE corporate trainingFor developer teams
- Claude Code trainingHands-on, for engineering teams
- Agentic AI trainingDesign and supervise AI agents
- AI Accelerator ProgramLive cohort for individuals
- Best AI bootcamps in IndiaLive cohorts, fees and dates
- Best AI certifications in IndiaMicrosoft, Google, AWS and more
- Best agentic AI courses in IndiaIIT, edtech and free
- Best Claude Code coursesFor developers and teams
- Best generative AI courses in IndiaFree, paid and IIT
- Best free AI courses with certificateGovernment and big tech
- Best AI courses for working professionalsWeekend and online options
- Best AI courses in BangaloreClassroom and live options
- Chief AI Officer coursesFor senior leaders
Titles change. Skills you use every day keep paying.
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