Corporate AI training · For teams
AI training your teams can ship with.
Instructor-led Generative AI, LLM and data science programmes, built on your stack and your data, and measured on what changes at work afterwards.
- professionals trained
- 50,000+
- enterprises
- 500+
- countries
- 30+
- completion rate
- 98%
Measured change after a programme
How we measure
Skills baseline before. Assessment and capstone after.
Reported per cohort to your L&D team, inside your LMS.
Average across enterprise cohorts, pre- vs post-programme assessment.
Teams trained at
01 · How it works
Three stages. Gates between each. Artifacts your L&D team can audit.
Most enterprise training stops at content completion. The Enterprise Learning Framework moves every learner through understanding, guided practice on real data, and a role-based reflection that becomes the cohort report.
- 01Learn: a common vocabulary firstVideos, reading and tool walkthroughs in your LMS or ours. Exit gate: knowledge check and a short learning summary.
- 02Apply: hands-on with enterprise dataSandboxes, case studies, coding labs and role plays on your own use cases. Exit gate: a submitted project task with mentor feedback.
- 03Reflect: from practice to the roleReflection worksheets, capstone presentations and role-based action plans. Exit gate: the capstone, which becomes the cohort report.
02 · Programmes
Every role gets its own depth. Not the same slides for everyone.
Pick a row. Each cell is how deep that role goes on that topic, from awareness to building it themselves.
| GenAI fundamentals | LLM app development & RAG | AI agents | MLOps & deployment | Responsible AI | Applied data science | |
|---|---|---|---|---|---|---|
| Executives & leaders | USE | AWARE | AWARE | AWARE | USE | AWARE |
| Product & business | BUILD | USE | USE | AWARE | USE | BUILD |
| Engineering | BUILD | BUILD | BUILD | BUILD | USE | BUILD |
| Data & analytics | BUILD | BUILD | USE | BUILD | USE | BUILD |
| HR, finance & operations | USE | USE | AWARE | AWARE | USE |
- Awareness
- Use confidently
- Build it
- LeadersAgentic AI Bootcamp for LeadersWhere agents change the operating model, and what to fund first.2 days
- BuildersGenerative AI & LLM Application DevelopmentRAG, agents, evaluation and deployment on your stack.5 days + capstone
- EveryoneData-driven culture, gamifiedSimulation-based analytics learning with no code required.4 weeks, self-paced
03 · Formats
On site, live online, or both. Across 30+ countries and every time zone.
On site
At your offices
Instructor in the room, labs on your network, cohorts of 15 to 40.
- Best for
- Deep technical tracks
- Cohort
- 15–40
- Lead time
- 4 weeks
Live online
Live cohorts across time zones
Same instructors, same labs, scheduled for distributed teams in 30+ countries.
- Best for
- Global teams
- Cohort
- 20–60
- Lead time
- 2 weeks
Hybrid
Kick-off in person, practice online
A workshop day on site, then weekly live labs and mentoring until the capstone.
- Best for
- Multi-week programmes
- Cohort
- 15–40
- Lead time
- 4 weeks
- LMS integration
- Skills baseline & assessments
- Industry mentorship
- Hackathons
- Guest speakers
- ADaSci certification for learners
- Interview solutions
- Developer advocacy
04 · Results
What changed, at the companies that ran it.
Published case studies, from a bank to a copper association. Each one names the roles trained, the format, and what moved afterwards.
“Embarking on this venture to engage a partner for our campus programme was a significant leap, and it proved to be an invaluable learning experience.”
- 500+
- enterprises trained
- 50,000+
- professionals
- 30+
- countries served
- ~10 yrs
- delivering enterprise programmes
- GenpactSkydive Global Campus Academy: why Genpact chose ADaSci for AI corporate training.Read the case study
- Bank of BarodaDriving AI and Generative AI awareness across the bank.Read the case study
- International Copper AssociationEnabling AI-driven leadership across a global association.Read the case study
05 · FAQ
What enterprise leaders ask first.
ADaSci's AI corporate trainers design and lead instructor-led Generative AI, LLM, and data science programs tailored to your business goals. Each engagement includes a skills baseline, a custom curriculum, hands-on labs with your data, and post-training support so teams can ship AI solutions in weeks, not months.
Our corporate curriculum spans Generative AI fundamentals, LLM application development, RAG, prompt engineering, AI agents, MLOps, responsible AI, computer vision, and applied data science. Programs are mapped to roles — executives, product, engineering, analytics, and operations — so every learner gets relevant, role-based content.
Every program is built around your tech stack, datasets, and use cases. Our trainers run discovery workshops with stakeholders, then tailor labs, capstone projects, and assessments so learners practice on workflows they actually use at work.
Yes. Learners can earn ADaSci professional certifications such as the Chartered Data Scientist (CDS), Certified Generative AI Engineer (CGAE), and Certified Agentic AI System Architect (CAASA), giving teams independently verifiable credentials.
We track skill-gain via pre/post assessments, project outcomes shipped during the program, certification pass rates, and business KPIs agreed upfront with your L&D and business leaders. Clients typically see 15–22% gains in skill adaptability, AI solutioning, and data-driven decision making.
Request a consultation and our team will scope your goals, recommend a program, and share a tailored proposal — usually within 3 business days.
Tell us the team and the outcome. We'll design the pathway.
A 30-minute discovery call, then a proposal with roles, formats, dates and the assessment plan.
- 01Discovery call with your L&D and business sponsor
- 02Proposal: roles, formats, dates, assessment plan
- 03Skills baseline and cohort launch