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 data.
- professionals trained
- 50,000+
- enterprises
- 500+
- countries
- 30+
- completion rate
- 98%
01 · How it works
Three stages. Gates between each. Artifacts your L&D team can audit.
The Enterprise Learning Framework moves every learner from understanding, to guided practice on real data, to a role-based reflection.
Stage 01
Learn: a common vocabulary first
Videos, reading and tool walkthroughs in your LMS or ours.
Exit gateKnowledge check and learning summary
Stage 02
Apply: hands-on with enterprise data
Sandboxes, labs and role plays on your use cases.
Exit gateProject task with mentor feedback
Stage 03
Reflect: from practice to the role
Capstones and role-based action plans.
Exit gateCapstone, which becomes the cohort report
02 · Programmes
Every role gets its own depth. Not the same slides for everyone.
Pick a role: how deep it goes on each topic.
- GenAI fundamentalsUse confidently
- LLM app development & RAGAwareness
- AI agentsAwareness
- MLOps & deploymentAwareness
- Responsible AIUse confidently
- Applied data scienceAwareness
- GenAI fundamentalsBuild it
- LLM app development & RAGUse confidently
- AI agentsUse confidently
- MLOps & deploymentAwareness
- Responsible AIUse confidently
- Applied data scienceBuild it
- GenAI fundamentalsBuild it
- LLM app development & RAGBuild it
- AI agentsBuild it
- MLOps & deploymentBuild it
- Responsible AIUse confidently
- Applied data scienceBuild it
- GenAI fundamentalsBuild it
- LLM app development & RAGBuild it
- AI agentsUse confidently
- MLOps & deploymentBuild it
- Responsible AIUse confidently
- Applied data scienceBuild it
- GenAI fundamentalsUse confidently
- LLM app development & RAGUse confidently
- AI agentsAwareness
- MLOps & deploymentNot covered
- Responsible AIAwareness
- Applied data scienceUse confidently
Popular team programmes
- Leaders · 2 daysAgentic AI Bootcamp for LeadersWhere agents change the operating model, and what to fund first.
- Builders · 5 days + capstoneGenerative AI & LLM Application DevelopmentRAG, agents, evaluation and deployment on your stack.
- Everyone · 4 weeks, self-pacedData-driven culture, gamifiedSimulation-based analytics learning with no code required.
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
8 extras with any format
- LMS integration
- Skills baseline & assessments
- Industry mentorship
- Hackathons
- Guest speakers
- ADaSci certification for learners
- Interview solutions
- Developer advocacy
04 · Results · ~10 yrs delivering enterprise programmes
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.
Measured change after a programme
“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.”
- FourKitesBuilding enterprise-grade AI capability across product and engineering.Read the case study
- 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
Teams trained at
05 · FAQ
What enterprise leaders ask first.
What does an AI corporate trainer from ADaSci deliver?
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.
Which AI and Generative AI topics do you cover for enterprise teams?
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.
How customized is the training to our company and tools?
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.
Will employees earn a recognized AI certification?
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.
How do you measure the ROI of corporate AI training?
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.
How do we get started with ADaSci as our AI training partner?
Request a consultation and our team will scope your goals, recommend a program, and share a tailored proposal — usually within 3 business days.