AI Training for IT Companies & GCCs
AI and cloud training for software engineers, architects, product managers, and delivery leads — built for IT services, product companies, and Global Capability Centres.
India's IT sector is facing a capability inflection point. Clients demand GenAI-augmented delivery, cloud-native architectures, and AI-first product thinking — but most engineering teams were trained before LLMs existed. Technovids runs cohort training for teams across Infosys, Wipro, HCL, Cognizant, and dozens of mid-size IT companies and GCCs, upgrading skills that matter for the next wave of project wins.
Challenges AI Solves in IT Companies & GCCs
Our programmes are built around the real operational pressures your teams face every day.
Engineers using AI tools without understanding them
GitHub Copilot and ChatGPT are already in use — but teams lack mental models for prompt quality, hallucination risk, and when not to trust AI output. This creates production bugs and missed review cycles.
Client proposals losing to AI-native competitors
RFPs increasingly require GenAI integration capabilities, LLM fine-tuning experience, and cloud AI service expertise. Teams without this training are de-selected before the first meeting.
ML models built but never deployed
Data science teams deliver Jupyter notebooks. Ops teams can't run them in production. MLOps discipline — CI/CD for ML, model monitoring, drift detection — is the missing link.
AI Use Cases We Train Your Team On
Every lab exercise maps to a real scenario your teams will encounter in their role.
GenAI Integration for Developers
OpenAI / Azure OpenAI API integration, prompt design patterns, RAG architecture, function calling, and building LLM-powered features into existing applications.
MLOps & Model Deployment
ML pipelines using AWS SageMaker, Azure ML, or GCP Vertex AI. CI/CD for ML, model versioning, drift detection, and A/B testing for model rollouts.
Cloud-Native Architecture
Microservices on AWS/Azure/GCP, container orchestration (Kubernetes), serverless design patterns, and cost optimisation for AI workloads.
AI Product Management
How to spec AI features, define success metrics for ML systems, manage model versioning in roadmaps, and communicate AI capability to clients and stakeholders.
Code Review with AI Tools
Structured processes for AI-assisted code review, security audit using LLMs, test coverage generation, and documentation automation — without creating dependency.
AI-Enhanced Delivery Metrics
Using AI to analyse sprint velocity, predict project risk, automate status reporting, and generate insight from JIRA/project management data.
Recommended Programmes for IT Companies & GCCs
Each programme can be customised with your branding, data, and industry examples.
Prompt Engineering Mastery
Developers, QA engineers, and business analysts using AI tools in delivery.
View curriculum →AI for Business Professionals
Delivery managers, project leads, and client-facing IT professionals.
View curriculum →AI-Enhanced Data Analytics
Data engineers, BI developers, and analytics teams in IT services.
View curriculum →AWS Cloud Training
Engineers and architects building on AWS. Covers solutions architect fundamentals.
View curriculum →Microsoft Azure Enterprise
Teams delivering Azure-based solutions for enterprise clients.
View curriculum →Google Cloud (GCP) Training
Engineering teams on GCP-aligned projects or pursuing ACE certification.
View curriculum →What Your Team Will Be Able to Do
Measurable outcomes your L&D team can report on.
What Participants Say
“We trained 120 developers across three Bangalore offices in one week. The GenAI integration labs were the most hands-on developer training we've had in years.”
Suresh Kumar
VP Engineering, IT Services Company, Bangalore
“The MLOps module filled a critical gap. Our data science team could build models; now they can actually ship them. The SageMaker pipeline lab was worth the entire programme.”
Anjali Menon
Head of AI Platform, GCC, Hyderabad
“Our delivery managers now speak AI fluently with clients. The AI for Business track gave them the vocabulary and frameworks to drive conversations — not just nod along.”
Rajiv Bhatia
Practice Head – Digital, Mid-size IT Services Firm
Why Corporate Teams Choose Technovids
On-site at Your Office
We come to you with all lab equipment. No co-ordination overhead for your team.
IT Companies & GCCs-Specific Content
Labs and case studies drawn from your sector. No generic tech-company examples.
Practitioner Trainers
8–15 years of real-world experience. Not career trainers — working engineers and architects.
Verifiable Certificates
LinkedIn-shareable certificates issued within 48 hours of programme completion.
30-Day Support
Post-training WhatsApp group with your trainer. Questions answered, not forgotten.
Measurable Outcomes
Pre/post assessment + manager's report showing exactly what improved.
Frequently Asked Questions
Can you train engineers on both Azure OpenAI and standard OpenAI APIs in the same session?
Yes. Our GenAI integration labs cover both endpoints. We highlight key differences in authentication, model availability, and enterprise data compliance between the two options.
Do you offer separate tracks for technical staff and delivery/management teams?
Yes. We run parallel tracks — a technical track for developers, data engineers, and architects, and a business/delivery track for project managers, practice heads, and client-facing roles.
Can you deliver training for a GCC with mixed teams from multiple countries?
Yes. We regularly deliver for GCCs with remote participants in UK, US, and APAC time zones alongside India-based cohorts. Content and labs are timezone-agnostic.
What cloud platforms do you cover, and can you focus on just one?
We cover AWS, Azure, and GCP. A dedicated batch can focus on a single platform. Multi-cloud comparison workshops are also available for architecture and strategy teams.
Can training content reference our internal codebase or project types?
With your permission, yes. We can incorporate anonymised code patterns or project archetypes into lab exercises during a pre-training customisation session.
Do participants get certification recognised for Infosys / TCS / Wipro competency programmes?
Technovids certificates are issued separately from vendor certifications. However, our cloud programmes are aligned with AWS, Azure, and GCP official exam objectives, so they directly support employees pursuing those certifications.
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Book AI Training for Your IT Companies & GCCs Team
Tell us about your team — we'll send a custom curriculum and quote within 24 hours.