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CraftVoy

For enterprise teams

Corporate AI Training in Chennai for Enterprise Teams

Equip your workforce to use AI effectively, build AI-powered solutions, and adopt AI responsibly. We design corporate AI training programs around your organization's roles, technology environment, business priorities, and capability goals.

Where organizations need AI capability

Most teams are not short of AI tools. The gap is in skills, shared practices and clear guardrails.

  • AI awareness and adoption

    Teams use AI unevenly. A shared baseline helps people understand what AI can and cannot do in their roles.

  • Effective use of Generative AI tools

    Moving from ad-hoc prompting to repeatable, reviewed workflows that fit how your teams already work.

  • Practical productivity workflows

    Identifying everyday tasks where AI assistance is useful, and where human review must stay in the loop.

  • Technical AI implementation capability

    Giving engineers the skills to build, evaluate and deploy LLM applications, RAG pipelines and agents.

  • AI-ready technology teams

    Aligning architects, engineers and managers on shared concepts, patterns and delivery expectations.

  • Risk, governance and responsible adoption

    Understanding data exposure, model limitations, evaluation and the controls needed before scaling AI use.

Corporate AI training tracks

Six role-based tracks that can be combined and customized. Content, depth and format are agreed with you.

AI Literacy and Productivity

Intended audience
Non-technical and mixed teams across business functions
Learning objectives
Build a common understanding of AI and apply it safely to everyday work.
Sample topics
  • How modern AI works, in plain language
  • Strengths, limits and failure modes
  • Using AI assistants for daily tasks
  • Data handling and safe-use guidelines
Practical exercise
Role-based exercise: redesign one recurring task with AI assistance.

Generative AI and Prompt Engineering

Intended audience
Analysts, product, operations and technical teams
Learning objectives
Write reliable prompts and build repeatable Generative AI workflows.
Sample topics
  • LLM fundamentals
  • Prompt patterns and structured outputs
  • Evaluating response quality
  • Introduction to RAG
Practical exercise
Hands-on lab: build a prompt workflow against your own sample scenarios.

AI for Business Leaders and Managers

Intended audience
Department heads, programme and delivery managers, senior leaders
Learning objectives
Make informed decisions on AI use cases, investment, risk and team readiness.
Sample topics
  • Identifying viable AI use cases
  • Build, buy or adopt decisions
  • Managing AI delivery and risk
  • Measuring adoption
Practical exercise
Workshop: shortlist and prioritise AI opportunities for your function.

Agentic AI and Workflow Automation

Intended audience
Engineers, automation teams and technical leads
Learning objectives
Design agents that plan, use tools and complete multi-step workflows with oversight.
Sample topics
  • Agent patterns and tool use
  • Multi-agent orchestration
  • Guardrails and human-in-the-loop design
  • Testing and observability
Practical exercise
Capstone: build a working agent for a workflow relevant to your team.

AI Engineering Capability Academy

Intended audience
Software engineers and data practitioners
Learning objectives
Develop the engineering skills to ship LLM-powered applications to production.
Sample topics
  • RAG and retrieval design
  • Fine-tuning and customization
  • Evaluation and deployment
  • Performance and cost considerations
Practical exercise
Project: build and evaluate an LLM application end to end.

Enterprise AI Architecture and AI Governance

Intended audience
Architects, platform and security leads, technology managers
Learning objectives
Design AI platforms that are secure, observable and governed.
Sample topics
  • Reference architectures for enterprise AI
  • Security, privacy and compliance considerations
  • Observability and MLOps
  • Governance operating models
Practical exercise
Design review: sketch a target architecture for one of your use cases.

Industry relevance

Illustrative use cases that show how training can be framed for different sectors. These are examples, not client case studies.

IT services and software delivery

Engineering teams learning to use AI assistants in the delivery lifecycle and to build AI features for client projects.

Global Capability Centres (GCCs)

Cross-functional teams aligning on AI patterns, governance and shared engineering practices.

Manufacturing and industrial operations

Operations and quality teams exploring AI for documentation, knowledge search and process analysis.

Automotive and mobility

Engineering and product groups applying AI to requirements, test documentation and technical knowledge bases.

Banking and financial services

Risk, operations and technology teams studying controlled AI use with strong review and governance.

Business operations and shared services

Process teams using AI to streamline reporting, drafting and internal support workflows.

How a corporate engagement works

  1. 1

    Discovery

    Understand roles, business goals and current skill gaps.

  2. 2

    Program design

    Tailor learning objectives and curriculum to your teams.

  3. 3

    Delivery

    Conduct the agreed workshops, labs or capability programs.

  4. 4

    Assessment

    Evaluate learning through practical activities.

  5. 5

    Outcome review

    Agree a summary of participation, learning and next steps.

The exact steps and deliverables are confirmed in your proposal.

Delivery models

  • On-site at your office

    Training delivered at your Chennai location, as agreed during discovery.

  • Virtual instructor-led

    Live online sessions for teams across locations.

  • Workshops and longer programs

    From focused workshops to multi-session capability programs. Scope and schedule are set with you.

Why work with CraftVoy on corporate AI training

  • Practical, structured learning

    Sessions combine explanation with hands-on exercises, not slides alone.

  • Curriculum aligned to your goals

    Content is shaped around your roles, tools and priorities.

  • Technical depth for engineering teams

    Labs cover RAG, agents, evaluation and deployment for technical audiences.

  • Enterprise architecture perspective

    Programs are led by a practitioner with 17+ years in enterprise technology.

  • Relevant use cases

    Exercises use scenarios close to your own domain.

  • Role-based capability development

    Separate tracks for leaders, managers, engineers and architects.

Looking for individual learning instead? See AI training in Chennai for professionals.

Help & Support

Frequently Asked Questions

Everything you need to know about our programs and admission process

What is included in corporate AI training?

Scope is defined with you during discovery. A typical engagement covers a tailored curriculum, instructor-led sessions, hands-on exercises relevant to your teams, and a review of participation and next steps. The exact inclusions are confirmed in your proposal.

Can the curriculum be customized for our teams?

Yes. Programs are designed around your roles, technology environment and capability goals, drawing on our existing Generative AI, Agentic AI, AI Engineering and Enterprise AI Architecture content.

Do you offer training for non-technical and technical employees?

Yes. There are separate tracks for business and non-technical teams (AI literacy, leaders and managers) and for technical teams (Generative AI, agents, AI engineering and architecture).

Can training be tailored to our industry and use cases?

Yes. Exercises can be framed around scenarios from your industry and functions. Share your context in the enquiry form and we will discuss what is practical.

What delivery formats are available?

We offer on-site training at your Chennai office and virtual instructor-led sessions. Workshops and longer capability programs can be scoped with you. Hybrid arrangements can be discussed during discovery.

Can we request a proposal for a specific number of employees?

Yes. Include the number of participants, the training area and your expected timeframe in the form, and we will respond with a proposal for discussion.

How do we discuss corporate AI training fees?

Corporate fees depend on the program, participant numbers, format and duration, so they are quoted in a proposal rather than listed publicly. Submit the enquiry form or message us on WhatsApp to start that conversation.

Have more questions? Contact our team

Request a corporate AI training proposal

Tell us about your team and goals. We will review your requirements and come back with a proposal to discuss.

  • Fees are quoted in the proposal
  • No commitment from the enquiry

Prefer to talk first? Message us on WhatsApp or call +91 97918 17766.

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