Practical software engineering programs designed to take you from fundamentals to production-ready projects, AI-enabled development and interview readiness.
Students don’t just pick a technology — they train toward a role.
Java → Spring Boot → REST → SQL → React/Angular → Cloud → AI → Projects → Interviews
View pathPython → Django/FastAPI → REST → PostgreSQL → React → AWS → AI → Projects
View pathHTML/CSS → JavaScript → TypeScript → React/Angular → APIs → Testing → Projects
View pathServiceNow → ITSM → ITOM → Scripting → Integration → Workflows
View pathPower Query → Modeling → DAX → Dashboards → Power BI Service → Portfolio
View pathEngineering practices, projects and career preparation — not a syllabus checklist.
Smaller, focused groups so questions, code reviews and feedback are part of every week.
Build production-style systems rather than only following tutorials.
Learn how working developers use AI tools and LLM APIs inside real products.
Debugging, documentation, deployment and architecture fundamentals — not theory alone.
Resume, LinkedIn, DSA, technical mocks and HR practice are built into the journey.
Graduate with projects you can walk through with an interviewer, end to end.
Six months of live training covering Java, Spring Boot, REST, Hibernate/JPA, SQL, React or Angular, Git, Docker, AWS, testing, microservices fundamentals, DSA, system design basics, and AI-enabled application development.
Projects follow a real software workflow: architecture, APIs, UI, data and deployment.
Catalog, cart, orders and admin — from API design through UI and cloud deploy.
Architecture → UI → APIs → Database → Deployment
Roles, records, JWT auth and workflows that mirror production internal tools.
Requirements → Auth → APIs → Testing → Git
Capstone: customer-support chat with LLM APIs and RAG over your own knowledge base.
Data → Retrieval → LLM → UI → Evaluation
Learn. Build. Engineer. AI-Enable. Launch.
Understand fundamentals with live mentoring and daily coding practice.
Apply skills on complete applications, not isolated tutorials.
Use Git, APIs, testing, architecture, debugging and deployment.
Build modern AI-assisted features into real applications.
Prepare for interviews, portfolios and the job search with structured support.
Workshops, new batch starts, and demo sessions you can join
Traditional IT training often focuses on completing a syllabus. We believe students need something different: the ability to actually build software, explain their decisions, and perform confidently in technical interviews.
Cognitex Career Labs exists to close that gap — with projects, engineering practices, AI-enabled development and structured career preparation from Hyderabad, fully online.
Raj Thakur · Founder & CEO · Read our story
We help eligible learners prepare for software-development opportunities. We do not promise guaranteed jobs or 100% placement.
Understand your starting point and target role.
Position projects and skills the way hiring teams scan them.
Show real code, commits and README-quality documentation.
Structured practice for coding rounds.
Role-specific interviews with feedback.
Storytelling, salary conversations and communication.
Where and how to apply with a focused pipeline.
Support pursuing relevant openings — without inflated claims.
Experiences shared by learners in our programs
Build the technical skills and portfolio needed to enter software development.
Move into software engineering through structured, practical learning.
Upgrade Java, Angular, React, cloud or AI capabilities with projects.
Start building industry-relevant skills before graduation.
Our students work at leading technology companies — logos reflect alumni workplaces, not exclusive hiring partnerships.
