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Analog DataArtificial Intelligence

Corporate training

live online, built around your team

Build AI capability across your team.

Live online programs shaped around your developers, your stack and your engineering goals.

Talk to us about team training ↓See sample modules →

Who it is for

Built for the people who build and lead

Team prerequisite

Working Python and basic API knowledge.

  1. 01

    Engineering managers

    Build team skills with a clear plan and measurable results.

  2. 02

    Developers

    Learn to build and ship AI features in your own stack.

  3. 03

    Tech leads

    Set shared standards for tools, testing and review.

  4. 04

    GCC teams

    Upskill distributed teams with live, hands-on sessions.

  5. 05

    Enterprise L&D

    Run a structured programme with assessment and reporting.

What we cover

Problems we help your team solve

  1. 01Most requested

    Practical tool use

    Give agents tools through structured, validated calls.

  2. 02

    MCP integrations

    Build and connect MCP servers your team can trust.

  3. 03

    RAG quality

    Retrieve the right context and measure answer quality.

  4. 04

    AI system evaluation

    Test agent behaviour with repeatable evaluations.

  5. 05

    Deployment

    Ship AI services with containers, CI and monitoring.

  6. 06

    Security

    Handle prompt injection, permissions and secrets safely.

  7. 07

    AI backend design

    Design APIs and async services around model calls.

Formats

Start small. Go as deep as you need.

Durations and inclusions are set in the proposal.

  1. 3 hours

    Discovery workshop

    Align on goals, stack and skill gaps.

  2. 2–5 days

    2–5 day intensive

    A hands-on sprint on one focused topic.

  3. 10–15 days

    10–15 day program

    A longer programme with projects and review.

  4. Set in proposal

    Customised pilot

    Train on use cases from your own work.

  5. After the programme

    Office hours

    Q&A sessions after the programme ends.

← Start here  ·  Go deeper →

Sample modules

What your team can learn

Final syllabus is agreed in the proposal.

  • agents.py

    AI Agent Engineering

    • › Tool calling
    • › Agent loops
    • › State and memory

    LAB  Build a tool-using agent

  • mcp_server.py

    MCP with Python

    • › Servers and clients
    • › Typed tools
    • › Permissions

    LAB  Ship an MCP server

  • rag.py

    Production RAG

    • › Chunking
    • › Retrieval
    • › Evaluation

    LAB  RAG with an eval set

  • api.py

    FastAPI & Async Python

    • › APIs
    • › Concurrency
    • › Streaming

    LAB  Serve an agent as an API

  • evals.py

    Evaluations & security

    • › Test suites
    • › Prompt injection
    • › Guardrails

    LAB  Threat review and tests

  • Dockerfile

    Docker & observability

    • › Containers
    • › CI
    • › Tracing and logs

    LAB  Containerise and trace

How an engagement runs

From first call to outcomes report

Plan

  1. 1

    Discovery

    Understand goals, stack and constraints.

  2. 2

    Skills assessment

    Check where the team is today.

  3. 3

    Scoped proposal

    Agree content, duration and outcomes.

Run

  1. 4

    Lab preparation

    Prepare environments and exercises.

  2. 5

    Delivery

    Live online sessions with hands-on labs.

Review

  1. 6

    Outcomes report

    Share results and next steps.

Outcomes and evidence

Proof of what changed

Sample deliverables, working repositories, post-assessment and feedback.

No placement or savings guarantees

  • Working repositories

    Code the team built and can reuse.

  • Post-assessment

    Measure what changed after training.

  • Attendance and feedback

    Track participation and gather feedback.

Your instructor

Rajath Kumar K S, founder of Analog Data

Rajath Kumar K S

Founder · Lead instructor, Analog Data

Talk to us

Tell us about your team. We shape the programme.

Share your stack, team size and goal. We reply from a business mailbox with next steps.

  • Live online only
  • NDA on request
  • Your stack, your goals

Team training inquiry

Privacy notice: how we use these details, retention and deletion. See our Privacy Policy.

FAQs

Questions teams ask

Still have questions?

Send an inquiry and we will answer within two working days.

Contact us →
Is the training online?

Yes. Every programme is delivered live online with hands-on labs.

Can the content be customised?

Yes. The curriculum is mapped to your stack, roles and current skill level, and agreed in the proposal.

How large can a team be?

Team size is agreed in the proposal. Share your numbers in the inquiry and we will suggest a format.

What do participants need?

Working Python and basic API knowledge, plus a laptop that can run the lab environment.

How do we get started?

Send an inquiry. We reply with next steps, then run a discovery call and share a scoped proposal.

Do participants get certificates?

Certificate details are confirmed in the proposal. Programmes include a post-assessment and attendance records.