
IIT Roorkee and Futurense Launch India’s First Advanced Certification in AI Engineering and AIOps
Equipping professionals with full-stack AI capabilities for cloud-native, scalable, and production-ready AI solutions
In a significant stride towards making India a global hub for AI deployment and innovation, the Indian Institute of Technology (IIT) Roorkee, in collaboration with Futurense Technologies, has launched the country’s first Advanced Certification in AI Engineering and AIOps. Scheduled to commence in August 2025, this nine-month hybrid programme is tailored for working professionals and graduates aiming to master cutting-edge AI deployment in real-world, enterprise-scale environments.
The programme is set to be a game-changer for those looking to upskill in a rapidly evolving tech landscape where AI development must meet operational scalability. With the integration of advanced tools like LangChain, Hugging Face, AutoGen, TensorFlow, PyTorch, Docker, Kubernetes, and MLflow, this course is designed to foster a new generation of professionals capable of driving GenAI and AIOps transformation within organisations.
The Need for Scalable AI Expertise
The AI ecosystem in India is experiencing a pivotal moment. While Generative AI (GenAI) pilots are booming across sectors, a major bottleneck remains—the conversion of these pilots into stable, scalable production systems. Many companies struggle to transition their AI proofs of concept into enterprise-ready applications due to a lack of engineering expertise and operational knowledge.
Addressing this crucial gap, IIT Roorkee’s Advanced Certification in AI Engineering and AIOps focuses on practical AI engineering, not just theoretical or model-based learning. It’s built to teach participants how to design, deploy, monitor, and scale AI systems—especially in cloud-native and multi-agent environments.
Programme Highlights
This forward-looking course covers the entire AI stack—spanning model development, DevOps integration, ethical compliance, and enterprise observability.
🔹 Key Focus Areas:
- Design and deployment of Large Language Models (LLMs) on AWS, Azure, and GCP
- AIOps (Artificial Intelligence for IT Operations) strategies
- MLOps orchestration and automation pipelines
- Agent-based systems and multi-agent workflows
- Integration with vector databases
- Ethical frameworks and compliance standards in AI
By combining technical depth with real-world problem-solving, the course promises to build end-to-end AI practitioners—not just coders, but engineers capable of scaling AI innovations within enterprise frameworks.
Learning Format: Flexible and Industry-Ready
To suit the needs of professionals, the certification is delivered in a hybrid format:
- Weekend Live Online Classes: Led by IIT Roorkee faculty and industry experts, these sessions ensure that participants stay engaged while balancing work.
- Hands-On Projects: Capstone projects involving real-world GenAI and AIOps use cases help apply the learning in practical contexts.
- Optional Campus Immersion: A three-day in-person experience at IIT Roorkee, giving students an opportunity to interact directly with faculty, network with peers, and access lab infrastructure.
At the end of the programme, successful participants will receive a prestigious certification from IIT Roorkee—a credential that carries immense value in the tech ecosystem.
Tools & Technologies Covered
The course includes in-depth hands-on experience with a variety of industry-standard and next-gen tools:
Category |
Tools Covered |
LLMs and Prompting |
LangChain, Hugging Face, AutoGen |
Deep Learning |
TensorFlow, PyTorch |
AI Deployment & Ops |
Docker, Kubernetes, MLflow |
Cloud Platforms |
Amazon Web Services (AWS), Microsoft Azure, Google Cloud |
Databases & Pipelines |
Vector Databases, Orchestration tools |
Monitoring & Ethics |
AI observability tools, compliance frameworks |
Eligibility Criteria
This course is open to a wide range of tech professionals looking to sharpen their AI deployment skills. However, there are a few criteria for eligibility:
✅ Educational Background:
- A Bachelor’s degree in any STEM discipline
- A minimum of 50% marks during graduation
✅ Professional Experience:
- Working professionals with at least 1 year of relevant experience preferred
- Fresh graduates with relevant AI/MLOps certifications may also apply
✅ Admission Requirement:
- All applicants must clear a pre-screening test conducted by the programme team.
Who Should Enroll?
This programme is ideal for:
- AI Engineers and ML Developers looking to specialise in deployment
- MLOps Professionals and DevOps Engineers expanding into AI
- Cloud Developers building AI-first platforms
- Data Scientists transitioning into GenAI-centric roles
- Tech Leads and Architects wanting cross-functional AI expertise
Whether you are scaling a GenAI project or developing AI solutions for large-scale production, this course will provide the tools and insights needed to drive meaningful transformation.
Application & Fees
- Applications open: June 2025
- Course commencement: August 2025
- Duration: 9 months
- Fee: ₹1.25 lakh + GST
Interested candidates can apply through the official websites of IIT Roorkee Centre for Continuing Education (CEC) or Futurense Technologies.
Future-Proofing Your Career with IIT Roorkee
In an era where AI innovation is outpacing implementation, the need for professionals who understand both the technical and operational sides of AI is critical. With India positioning itself as a digital and technological powerhouse, programmes like this will play a pivotal role in building a future-ready AI workforce.