Administrators
Workspace setup, access boundaries, approved connections, environment ownership and a practical support process. Leave knowing what to enable, what to review and how to revoke access.
Enterprise workshops / US & international
AI technical training.
Build it. Run it. Own it.
Hands-on Claude, ChatGPT, Microsoft Copilot and custom MCP workshops for the people responsible for making AI work. Your systems, an agreed sandbox, and practical skills your team can use after the session.
Start with the people
One program. The right depth for each role.
Developers & makers
Tool design, APIs, MCP, authentication, testing and deployment. Work through a bounded example and learn how to diagnose failures, not just repeat a successful demo.
Technical leaders
Use-case selection, acceptance criteria, data handling and handover. Establish a shared definition of readiness before expanding a pilot to another team or system.
Choose your platform
Practical labs. Clear takeaways.
The outline below is a starting point. We tailor the exercises to your team’s experience and approved platform capabilities; not every topic belongs in one session.
Claude & custom MCP
Developers, technical leads and workspace administrators
Plan a Claude workspace rollout or build a connected workflow using approved APIs. Keep assistant configuration, MCP hosting and application permissions as separate decisions.
- Choose a useful workflow and write acceptance criteria for its answers.
- Design a read-only MCP tool with clear inputs, useful results and permission checks.
- Test missing records, unauthorized requests and untrusted instructions in tool responses.
- Document deployment, connector access and the steps for removing the connection.
Takeaway: A sandbox exercise, tool contract and operational handover checklist.
Official platform referenceMicrosoft Copilot & Copilot Studio
Microsoft 365 administrators, Power Platform makers and developers
Separate Microsoft 365 Copilot adoption from building a custom Copilot Studio agent. Select the track around the licenses, tenant policies and applications your team actually uses.
- Define an agent’s purpose, permitted knowledge and escalation path.
- Connect an approved API or MCP server and test with a restricted user account.
- Review environments, connection ownership and applicable Power Platform data policies.
- Evaluate example conversations, publish to an agreed test channel and prepare support notes.
Takeaway: An agent exercise, environment checklist and evaluation scenarios.
Official platform referenceChatGPT & OpenAI API
Workspace owners, application developers and integration engineers
Choose a ChatGPT workspace workshop or an OpenAI API development lab. The two have different administration, deployment and commercial requirements; we scope them explicitly.
- Map workspace roles, approved connections and the underlying service identity.
- Create a narrowly scoped MCP tool or API-backed workflow using sandbox data.
- Validate tool inputs and enforce authorization in the service, not in a prompt.
- Compare expected and actual results, investigate failures and document release checks.
Takeaway: A worked integration example, evaluation set and maintenance notes.
Official platform referenceMake the workshop count.
Before the session
Confirm the audience, first workflow, learning goals and sandbox. Your administrator checks subscriptions, API access and installation policies. We agree what to prepare and which sample records are safe to use.
During the labs
Build and test in small steps. Inspect the request, the service permissions and the returned result. Include a failed request and an access-denied scenario so the team sees where the boundaries are.
After the workshop
Keep the agreed exercises, configuration notes and acceptance checklist. We scope follow-up reviews, recordings and support separately so ownership and the next step are clear.
An exercise is not a production certification. Security review, load testing and release approval remain separate work. AIONDATA provides independent training; vendor subscriptions and certification programs are not included.
Before you book.
Can we book AI technical training without a larger implementation?
Yes. A standalone workshop can focus on one platform, a custom MCP server or the operational handover for an existing solution. We agree the audience, prerequisites, exercises and deliverables before confirming the scope.
Is this general AI awareness training or a technical workshop?
The core offer is hands-on technical enablement for administrators, makers and developers. We can include an introductory session for business users, but engineering labs require familiarity with APIs, authentication and the selected development tools.
Do we need production access or real customer data?
No. We prefer a sandbox and synthetic or approved, de-identified sample data. Your administrator confirms licenses and access before the workshop. Production credentials and confidential records should never be sent through the enquiry form.
Do you train US and international teams?
Yes. AIONDATA has Bay Area leadership and an engineering team in India. Remote sessions can be planned around your time zones. On-site delivery, travel, cohort size and follow-up support are agreed separately.
Is this an official vendor certification course?
No. These are independent AIONDATA workshops, not Anthropic, Microsoft or OpenAI certification programs. We do not promise a vendor credential or imply that the vendors endorse our training.
How much does training cost and how long does it take?
The estimate depends on the platform, audience, number of sessions, lab preparation and follow-up needed. We can scope a focused workshop or a staged enablement program. Vendor subscriptions, API usage and any travel are identified separately in the proposal.
Let’s prepare your team
Tell us what you want to build.
Share the platform, audience and the workflow you have in mind. We’ll help define a suitable training scope. Please leave credentials and confidential data out of the form.
NVIDIA Inception member
Part of NVIDIA’s program for startups building with AI and accelerated computing.
About the program
Bay Area roots. Enterprise experience.
Pravin’s experience includes Google and SmartBear. Sravan previously held leadership roles at JPMorgan Chase and First Republic Bank.
Meet the foundersSan Francisco Bay Area, California
9110 Alcosta Blvd Ste H345, San Ramon, CA 94583
US-led delivery, with engineering in India. Supporting US and international organizations.