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.
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Strategic capability program
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.
Who this program is for
- Cloud, DevOps and platform engineering teams
- Data engineers and analytics engineers
- Engineering managers building shared data and cloud platforms
Prerequisites: Participants should have working experience with software or data systems. Modules can be pitched at foundation or advanced level.
What your teams will be able to do
- Cloud foundations applied to secure, cost-aware and repeatable environments.
- Data pipeline design that is testable, observable and recoverable.
- Data modelling and governance practices that make data usable by analytics and AI teams.
- Infrastructure-as-code and delivery practices adopted across a team, not just by individuals.
- A clear view of what makes a platform AI-ready, and a gap assessment against your own.
Curriculum
Program modules
Modules are selected and sequenced for your audience. Cloud provider, tooling and level are matched to your environment. These are confirmed during scoping.
Module 1
Cloud engineering foundations
- Networking, identity and landing zones
- Infrastructure as code
- Cost and reliability practices
Module 2
Data engineering essentials
- Batch and streaming pipeline design
- Orchestration and dependency handling
- Data quality testing and observability
Module 3
Data platforms and modelling
- Lakehouse and warehouse patterns
- Dimensional and domain-oriented modelling
- Metadata, lineage and access control
Module 4
Platform engineering and delivery
- CI/CD for data and infrastructure
- Environments, secrets and policy
- Internal developer platform concepts
Module 5
Preparing platforms for AI workloads
- Feature, vector and retrieval data needs
- Compute, scaling and cost controls
- Readiness assessment 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
Do you train on a specific cloud provider?
Delivery is aligned to the cloud and data tooling your organisation uses. We confirm the provider, services and access model during scoping.
Can this be delivered for mixed-experience teams?
Yes. We can run foundation and advanced tracks in parallel or sequence modules by experience level, based on a skills baseline.
Does the program cover certification preparation?
The program is capability-focused. If certification preparation is an objective, tell us during enquiry and we will discuss what can be scoped.
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Request a corporate proposal
Tell us about your team and objectives for Cloud, Data Engineering & AI-ready Platforms. We will use it to prepare a scoped proposal conversation.