For Teams Across India · On-site, Virtual & Hybrid

AI Engineering Corporate Training

CraftVoy delivers the complete AI Engineering stack to your team - Machine Learning, Generative AI, Agentic AI, and MLOps - as one comprehensive program, delivered on-site, virtually, or hybrid.

10+
Recommended Team Size
5 Modules
Full-Stack Curriculum
3 Formats
On-site / Virtual / Hybrid
15+ Yrs
Lead Mentor Experience

Why Companies Choose CraftVoy for Full-Stack AI Upskilling

One program, the entire AI Engineering stack - from foundational ML through production-grade GenAI and Agentic AI systems.

End-to-End Curriculum

ML, Deep Learning, GenAI, Agentic AI, and MLOps - one cohesive program instead of piecing together separate workshops.

On-site, Virtual, or Hybrid

Flexible delivery that fits your team's location and schedule.

Dedicated Mentor Throughout

One senior mentor owns your engagement across all modules for consistency.

Progress Tracking & Reports

Track team-wide progress across every module with regular assessments.

Production-Ready Outcomes

Teams leave able to ship AI systems to production, not just prototypes in a notebook.

Certification for Every Participant

Each team member receives a CraftVoy certificate covering the full curriculum.

Full-Stack AI Engineering Curriculum

The complete stack, from ML foundations to production Agentic AI systems.

1

Machine Learning Foundations

2-3 weeks
Python for MLSupervised & Unsupervised LearningModel EvaluationFeature Engineering
2

Deep Learning

2 weeks
Neural NetworksCNNs & TransformersPyTorch/TensorFlowTransfer Learning
3

Generative AI & LLMs

2-3 weeks
LLM FundamentalsPrompt EngineeringRAG PipelinesLangChain
4

Agentic AI Systems

2 weeks
AI Agents & Tool UseLangGraphMulti-Agent OrchestrationMCP
5

MLOps & Production AI

2 weeks
Model DeploymentMonitoring & ObservabilityCI/CD for MLCloud AI (Azure/AWS)

Industries We Train

FintechSaaS & Product CompaniesBFSIHealthcare TechE-commerceIT Services

Engagement Models

Pricing is customised based on team size, duration, and delivery format. Request a proposal for a tailored quote.

Foundation Track
Custom Quote
ML + GenAI foundations for teams starting their AI journey
  • 4-6 week format
  • ML & GenAI modules
  • Hands-on labs
  • Certificate of completion
Request a Proposal
Most Popular
Full-Stack AI Program
Custom Quote
The complete AI Engineering stack from ML to Agentic AI and MLOps
  • 8-16 week format
  • All 5 modules included
  • Weekly live sessions
  • Capstone project
  • Progress reports
  • Dedicated mentor
Request a Proposal
Enterprise Partnership
Custom Quote
Organisation-wide AI capability building across multiple teams
  • Multi-quarter engagement
  • Multiple tracks & cohorts
  • Dedicated mentor
  • Quarterly reviews
  • Priority scheduling
Request a Proposal

Led by a Practitioner, Not Just a Trainer

VG
Vijay Gurunathan
Lead Instructor · Enterprise AI Architect · 15+ Years Industry Experience

Vijay has led full-stack AI upskilling engagements spanning ML foundations through production Agentic AI systems, working across fintech, SaaS, and enterprise product companies. He designs each program to build capability the organisation can sustain long after training ends.

Enterprise AI ArchitectureMachine LearningGenAI SystemsAgentic AIMLOpsTeam Enablement
4.9
Based on 13 corporate engagement reviews

What Engineering Leaders Say

We wanted one program that took our engineers from ML basics to production Agentic AI. CraftVoy delivered exactly that over 12 weeks.

Manoj T.
CTO, Product Company

The MLOps module was the differentiator - our team can now actually deploy and monitor models, not just train them in notebooks.

Shalini D.
VP Engineering, Fintech

A comprehensive program that respected our team's existing knowledge while filling real gaps. Worth the investment for org-wide AI capability.

Harish P.
Head of AI, Healthcare Tech

Frequently Asked Questions

Does CraftVoy offer full AI Engineering corporate training?
Yes. A complete program covering Machine Learning, Generative AI, Agentic AI, and MLOps - tailored to your stack and delivered on-site, virtually, or hybrid.
How is this different from the focused GenAI or Agentic AI programs?
This covers the entire AI Engineering stack end-to-end, ideal for teams wanting comprehensive upskilling rather than a single topic.
How long is the full program?
Typically 8-16 weeks depending on team size and depth required, with shorter intensive formats available for specific modules.
Does it include MLOps and production deployment?
Yes. Model deployment, monitoring, CI/CD, and cloud AI infrastructure are core modules so teams can ship to production.
Can we choose a subset of the curriculum?
Yes. CraftVoy can scope a subset of modules based on your team's current skill gaps and priorities.
What team size is this suited for?
Best suited for teams of 10+ engineers needing comprehensive, organisation-wide AI capability building.
Is on-site delivery available?
Yes, for companies based in Chennai. Virtual and hybrid formats are available for distributed teams across India.
Who delivers the training?
Vijay Gurunathan, an enterprise AI architect with 15+ years of experience across the full AI stack, leads all engagements.
Does CraftVoy offer full AI Engineering corporate training?
Yes. A complete program covering Machine Learning, Generative AI, Agentic AI, and MLOps - tailored to your stack and delivered on-site, virtually, or hybrid.
How is this different from the focused GenAI or Agentic AI programs?
This covers the entire AI Engineering stack end-to-end, ideal for teams wanting comprehensive upskilling rather than a single topic.
How long is the full program?
Typically 8-16 weeks depending on team size and depth required, with shorter intensive formats available for specific modules.
Does it include MLOps and production deployment?
Yes. Model deployment, monitoring, CI/CD, and cloud AI infrastructure are core modules so teams can ship to production.
Can we choose a subset of the curriculum?
Yes. CraftVoy can scope a subset of modules based on your team's current skill gaps and priorities.
What team size is this suited for?
Best suited for teams of 10+ engineers needing comprehensive, organisation-wide AI capability building.
Is on-site delivery available?
Yes, for companies based in Chennai. Virtual and hybrid formats are available for distributed teams across India.
Who delivers the training?
Vijay Gurunathan, an enterprise AI architect with 15+ years of experience across the full AI stack, leads all engagements.

Ready to Build AI Capability Across Your Team?

Tell us about your team and goals - we will design a custom full-stack AI Engineering training proposal within 2 business days.