Corporate AI Training · India, GCC & United States
AI training that changes how your company works on Monday.
Your teams don't need another webinar. They need working sessions on their own use cases, taught by engineers who build AI systems for a living. We've trained 10,000+ professionals, including teams at athenahealth, Morgan Stanley, NPCI and Adobe. Programs cover Claude Code, Codex, DevOps, CRM, sales, marketing, knowledge work, AI integrations and production engineering, delivered onsite or live online.
Programs
GenAI for business teams
One or two days that turn AI-curious teams into confident daily users: practical prompting, tool selection, data-safety rules, and automation of their own real tasks.
AI productivity for developers
Hands-on Claude Code, Codex and AI-assisted development workflows for repository exploration, planning, debugging, refactoring, tests, review, documentation, permissions and production-safe adoption.
AI workflow integration labs
Practical sessions for DevOps, CRM, lead operations, marketing, sales and knowledge work. Teams complete real tasks, build repeatable instructions and identify where governed integrations can remove manual effort.
AI engineering bootcamp
Three to five days for developers: LLM APIs, RAG, function calling, agent loops, evals and deployment. Teams build a working agentic application on your stack by the end.
Leadership briefings
A focused briefing for decision-makers: what is real, which use cases deserve investment, how to compare tools, where the ROI hides and how to govern adoption responsibly.
Train-the-champions
A recurring program that develops internal AI champions who keep the adoption flywheel spinning after we leave, with office hours, project reviews and a capstone.
Use-case tracks
Choose the work that should improve, then choose the tools.
Every track combines an operating method, role-specific labs, safety boundaries, reusable instructions and a practical adoption decision. Claude Code, Codex and other approved tools are taught inside that workflow rather than as a feature tour.
01
Claude Code and Codex for engineering teams
For Developers, tech leads, QA and platform engineers
- Explore unfamiliar repositories and turn requirements into bounded plans
- Use repository instructions, permissions and review gates consistently
- Debug, refactor, create tests and document changes with evidence
02
AI-assisted DevOps and incident response
For SRE, DevOps, cloud and production support teams
- Investigate logs, alerts and deployment failures without exposing secrets
- Draft and validate runbooks, infrastructure changes and post-incident reports
- Design approval boundaries for commands, infrastructure and production access
03
AI for CRM, sales and lead operations
For Sales, revenue operations and customer-success teams
- Research and qualify accounts with a repeatable evidence standard
- Prepare CRM records, follow-ups, call summaries and next actions
- Build human-approved outreach and lead-routing workflows
04
AI for marketing and content operations
For Marketing, content, brand and growth teams
- Create briefs, variants and repurposing workflows from approved source material
- Use brand, factuality and approval checks before content is published
- Analyze customer language and campaign data without inventing insight
05
AI for business and knowledge teams
For Operations, finance, HR, legal and shared-services teams
- Summarize, compare and extract information from business documents
- Create repeatable analysis and reporting workflows with source checks
- Identify tasks suitable for automation and tasks that need human judgment
06
AI leadership, policy and adoption
For Executives, business leaders, L&D, security and transformation teams
- Prioritize use cases by value, feasibility, risk and adoption effort
- Choose tools and rollout controls without relying on feature demos
- Define a practical responsible-use policy and ownership model
07
Agents, RAG and production AI engineering
For AI, data and application engineering teams
- Design retrieval, tool use, state, evals and human escalation
- Build a focused agent or knowledge assistant on the team's stack
- Test grounding, failure recovery, safety, latency and cost
Why teams remember our training
Taught by builders
Sessions are led by engineers who ship agentic systems and mentor AI/MLOps practitioners at IISc Bangalore. Questions get real answers, not 'great question, let's take that offline.'
Your stack, your use cases
Exercises run on scenarios from your business, prepared with you in advance. Teams leave with automations they built for their own work, not toy examples.
Safety and policy included
Every program covers data handling, confidentiality and responsible-use policy, so adoption accelerates without your legal team losing sleep.
Measured, like everything we do
Pre and post skill assessments and a 30-day follow-up on what stuck. If a cohort didn't move, you'll see it, and we'll fix it.
Program rating
Across client evaluation benchmarks for the enterprise cohorts shown here.
Aggregate client feedback
Enterprise cohorts rated the sessions above 4.8 out of 5.
Employees from athenahealth, Morgan Stanley, NPCI and Adobe participated in the programs. Across the client evaluation benchmarks used for these cohorts, session ratings were above 4.8 out of 5. Participant comments during the sessions consistently praised the practical value and immediate usefulness of the material.
athenahealth
2,600 employees trained
Morgan Stanley
2,000+ employees trained
NPCI
1,500+ employees trained
Adobe
500 employees trained
This is genuine first-party program feedback from sessions conducted by Mindela's founder. The score comes from the client evaluation benchmarks, while the recurring participant comments were shared verbally during the sessions. The organization names and aggregate results are published with permission.
Participant-reported outcomes
The training carried into real work.
Verbal feedback across delivered cohorts described practical use, not only an understanding of the tools. These recurring themes summarize what participating employees said during the sessions.
Engineering productivity
Participants reported using Claude Code, Codex and AI-assisted IDE workflows for code exploration, debugging, test creation, refactoring and technical documentation.
CRM and lead operations
Teams applied AI to account research, lead qualification, CRM preparation, data cleanup and structured follow-up workflows.
Marketing and sales
Participants used AI for campaign ideation, content variants, sales collateral, customer research and clearer outreach preparation.
Prompting and knowledge work
Teams improved how they structure prompts, review outputs, summarize documents and turn broad questions into repeatable workflows.
DevOps and production delivery
Technical teams applied AI to runbooks, incident investigation, deployment preparation, operational documentation and production support.
Workflow integration
Cohorts identified recurring tasks that could move from individual prompting into safe, governed AI integrations.
These are faithful summaries of recurring verbal feedback, grouped by business outcome. The organization names and aggregate program ratings are published with permission.
Delivery formats
Transparent per-cohort starting prices: India from ₹18,000 for a 90-minute briefing, ₹35,000 for a three-hour workshop and ₹75,000 for a full remote day. GCC and US prices are published on the pricing page. Onsite travel, taxes and deep customization are quoted separately.
- On-site workshops at company offices in India, the GCC and the United States
- Live online cohorts scheduled for India, GCC, US and distributed teams
- Executive briefings for boards and leadership offsites
- Multi-week programs with projects and office hours
- Measured Claude Code and Codex rollout programs for engineering organizations
FAQ
Questions we hear a lot
Who have you actually trained?
Our founder has led AI and engineering training for 2,600 employees at athenahealth, 2,000+ at Morgan Stanley, 1,500+ at NPCI and 500 at Adobe across India, plus around 2,000 more professionals through programs with Scaler, TalentSprint and Analytics Vidhya. That is over 10,000 professionals in total. References are available in a call.
How was the corporate AI training rated?
Enterprise training cohorts delivered for employees at athenahealth, Morgan Stanley, NPCI and Adobe received ratings above 4.8 out of 5 across the client evaluation benchmarks used for the programs. Participants also gave strong verbal feedback about the practical value and immediate usefulness of the sessions. The organization names and aggregate results are published with permission.
Where in India do you deliver training?
Onsite delivery is available across India, including Bangalore, Mumbai, Delhi NCR, Hyderabad, Pune, Chennai and Kolkata. Mindela also delivers remote and onsite programs for GCC and United States teams. Travel and accommodation are quoted separately and approved before booking.
Who leads the sessions?
Working AI engineers: the same people who build agentic systems and chatbots for our clients, led by Mindela's founder, who mentors AI and MLOps practitioners at IISc Bangalore. No professional trainers reading slides they didn't write.
How technical do participants need to be?
There's a track for everyone. Business programs assume zero coding, developer bootcamps assume working programming knowledge, and leadership briefings assume only that you make decisions. We calibrate with a short pre-survey of the cohort.
Can the training use our internal tools and data?
Yes, and that's the default. We sign NDAs, prepare exercises on your real workflows, and can run everything inside your environment if your security policy requires it.
Do you teach Claude Code and Codex onsite?
Yes. Developer programs cover Claude Code, OpenAI Codex and AI-assisted engineering workflows using your standards and representative repositories. The focus is practical use: repository context, task planning, permissions, debugging, refactoring, tests, review, documentation, failure recovery and measurable adoption.
What have participants used after the training?
Participant feedback described using the material for coding, CRM preparation, lead research, marketing and sales workflows, better prompting, DevOps tasks, production support and internal AI integrations. These are faithful summaries of recurring verbal feedback from employees who participated in the sessions.
What does corporate AI training cost in India?
India per-cohort prices start at ₹18,000 for a 90-minute remote executive briefing, ₹35,000 for a three-hour remote team workshop, ₹75,000 for a full remote day and ₹85,000 plus travel for a full onsite day. These starting prices assume up to 25 participants. Custom exercises, larger cohorts, multi-city delivery and applicable taxes are scoped separately.
Which use-case-specific AI training tracks are available?
Tracks include Claude Code and Codex for engineering teams, AI-assisted DevOps and incident response, CRM and sales operations, marketing and content operations, business and knowledge work, leadership and responsible adoption, and agents, RAG and production AI engineering. Each track can use representative company workflows and approved tools.
Do participants get certificates?
Yes. Completion certificates from Mindela, plus, more valuably, the working automations and projects each participant built during the program.
Free planning tools
From our writing
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Corporate AI Training India: A Buyer's Guide From a Team That's Trained 10,000+
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Ready when you are.
Tell us what you're working on. You'll get an honest read on feasibility, timeline and cost.