Training for the future of software engineering
Build with AI. Lead with understanding.
AI is reshaping the software development lifecycle (SDLC) and knowledge work. Three pillars help you turn that change into better engineering: AI skills, computer science foundations, and workflow design.
AI Skills
Build with AI. Know its limits.
Use models and agents to build, test, and deliver software. Learn to evaluate their output, supply useful context, and keep people in control of consequential decisions.
- Artificial Intelligence Foundations
- Applied Generative AI
- Building Applications with LLMs
- Agentic AI Foundations
- AI-Assisted Software Development
CS Foundations
Guide agents with engineering judgment.
Computer science helps you give agents precise constraints and judge their work. Understand language semantics, software design, data, and invariants—not just whether generated code runs.
- Software Engineering Foundations for AI Engineers
- Programming Language Concepts for AI Engineers
- Functional Programming
- Formal Methods for Reliable AI Systems
- Database Systems for AI Applications
Workflow Design
Redesign the work, not just the task.
Make AI useful across the SDLC and knowledge work. Model dependencies, state, approvals, and recovery. Reduce waiting and rework, and measure the whole workflow rather than one faster step.
- Workflow Foundations for AI Automation
- Event-Driven Workflow Design
- Reliable Workflow Execution
- Human–AI Workflow Design
- Workflow Performance Engineering
Technology Fundamentals
Programming, Scripting, Patterns and Paradigms
19 topics
Databases, Data Stores, Storage, Data Lakes
12 topics
Machine Learning and Data Science
6 topics
Mobile Technologies
5 topics
- Android
- Cordova Legacy
- React Native
- jQuery Mobile Legacy
- Flutter
Frontend Web Technologies and Frameworks
19 topics
- HTML/CSS/JavaScript Fundamentals
- HTML5 & CSS3
- jQuery
- AngularJS Legacy
- Angular
- Babel
- BackboneJS Legacy
- D3.js
- KnockoutJS Legacy
- React, Redux and MobX
- UI Design Philosophies - Material UI, Responsive Web Design, Flat UI, Atomic Design
- HTTP/1.x, HTTP/2, REST and AJAX
- Scalable Vector Graphics or SVG
- Java Enterprise Edition (Java EE or J2EE) Legacy
- Vue.js
- webpack
- Tailwind CSS
- Bootstrap
- Next.js
MVC Frameworks, Content Management Systems
13 topics
Semantic Web Technologies
4 topics
System Administration
6 topics
Cloud Computing
7 topics
DevOps, CI and CD
9 topics
Java and JVM Based Technologies
7 topics
Other Tools/Frameworks
12 topics
Training formats
Flexible delivery, same rigor
Updated- Remote self-paced or instructor-led sessions through VirtualCoach
- On-premise classroom training for teams
- Hosted e-learning portals with curated, hands-on content
Looking for something specific?
We do not train on proprietary technologies at the moment. If you need an open-source technology that isn't listed here but aligns with these stacks, let us know and we will craft a track for your team.
Where we train
Classroom training is available in Bangalore (Bengaluru), Chennai, Hyderabad, Mumbai, and Pune. Sessions are conducted at the client's premises with hardware/software infrastructure provided by the client.
Contact us to request a quote