Cloud, Data Engineering & AI-ready Platforms
Practical training for cloud, platform and data teams building the foundations that analytics and AI workloads depend on: reliable pipelines, governed data and scalable infrastructure.
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Strategic capability program
Enterprise AI Architecture & Modernization
Architecture-level training for integrating AI into existing enterprise estates, covering reference patterns, integration, security and the path from legacy to modern platforms.
Who this program is for
- Enterprise and solution architects
- CTO and CIO office teams shaping technology roadmaps
- Senior engineers responsible for platform and integration decisions
Prerequisites: Suited to participants with several years of architecture or senior engineering experience.
What your teams will be able to do
- Reference architectures for AI-enabled applications that fit an existing enterprise landscape.
- A structured way to assess legacy systems for AI-readiness and modernization sequencing.
- Integration, identity and data-access patterns for AI components.
- Architecture decision records that capture trade-offs between build, buy and platform options.
- A roadmap format that connects architecture choices to business capability goals.
Curriculum
Program modules
Modules are selected and sequenced for your audience. This program works best when anchored on one of your real architecture questions. Workshop scope is agreed in advance.
Module 1
AI in the enterprise landscape
- Capability mapping and AI opportunity areas
- Reference architecture building blocks
- Build, buy and platform trade-offs
Module 2
Integration and data access
- API and event-driven integration with legacy systems
- Data access, lineage and quality prerequisites
- Retrieval and knowledge architecture
Module 3
Security and compliance by design
- Identity, authorisation and tenancy
- Threat modelling for AI components
- Auditability and records
Module 4
Modernization pathways
- Assessing applications for modernization
- Strangler and incremental migration patterns
- Sequencing and dependency management
Module 5
Architecture practice and roadmaps
- Decision records and review boards
- Non-functional requirements for AI workloads
- Roadmap and capability planning workshop
Delivery
Online, onsite or hybrid
Choose the model that fits your teams and locations. We are starting in Chennai, Tamil Nadu.
Instructor-led online
Live, facilitated sessions delivered remotely, with labs and exercises designed for virtual participation.
Suited to
- Distributed or multi-site teams
- Shorter, recurring sessions
- Teams outside Chennai
Onsite at your location
Trainers work with your cohort in person at your premises, which suits workshops and team-based practice.
Suited to
- Intensive workshops
- Architecture and roadmap sessions
- Cohorts based in Chennai
Hybrid
A combination of onsite kickoff or workshops and online follow-up, planned as one continuous program.
Suited to
- Multi-phase capability programs
- Mixed local and remote cohorts
- Reinforcement after workshops
Based in or near Chennai? See corporate training in Chennai.
Frequently asked questions
Is this a theory course or a working session on our architecture?
It can be either, or both. Many organisations use a shared foundation module and then a facilitated workshop on one of their own architecture decisions, under appropriate confidentiality arrangements.
Does the program recommend specific vendors?
No. The content is vendor-neutral and focuses on patterns and trade-offs. Your approved platforms can be used in the hands-on elements.
Can it support a modernization programme already under way?
Yes. The modules can be selected and sequenced to support an existing programme, and we can scope enterprise consulting alongside training if you need it.
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Request a corporate proposal
Tell us about your team and objectives for Enterprise AI Architecture & Modernization. We will use it to prepare a scoped proposal conversation.