BCA Artificial Intelligence & Cloud Computing with minor in DevOps - IBM
Duration
3 years
The BCA in Artificial Intelligence & Cloud Computing with a Minor in DevOps is designed to equip students with expertise in AI-driven solutions and scalable cloud infrastructure. The program covers core computing concepts, machine learning, cloud computing platforms (AWS, Azure), and AI integration with cloud services. The DevOps minor enhances students’ ability to automate deployments, optimize workflows, and manage cloud-based applications efficiently. Hands-on experience with Docker, Kubernetes, CI/CD pipelines, and Microsoft AI tools ensures graduates are industry-ready. This program prepares students for careers in AI, cloud engineering, and DevOps, enabling innovation in smart, scalable, and automated technologies.
Eligibility
- 10+2
PROGRAM FEES
| Program | Fee | (₹) |
|---|---|---|
| BCA Artificial Intelligence and Cloud Computing with minor in DevOps - IBM | Year 1 | 177000 |
| Year 2 | 177000 | |
| Year 3 | 177000 |
Program (PO & PSO)
- PO1:Computational Knowledge – Apply fundamental computing principles, AI models, and cloud technologies to solve real-world problems.
- PO2:BProblem Analysis – Identify, analyze, and develop AI-driven cloud solutions for data processing, automation, and decision-making.
- PO3: AI & Cloud Computing Implementation – Design and deploy AI-based applications using cloud platforms like AWS, Azure, and Google Cloud.
- PO4:DevOps Practices – Implement DevOps methodologies, including CI/CD pipelines, containerization (Docker, Kubernetes), and infrastructure automation, to optimize cloud-based applications.
- PO 5: Data Handling & Security – Manage big data, ensure data privacy, and integrate AI-driven analytics with cloud security best practices.
- PO 6: Ethical AI & Compliance – Understand the ethical, legal, and compliance challenges of AI and cloud computing, ensuring responsible implementation.
- PO 7:Collaboration & Leadership – Work effectively in teams, demonstrating leadership in AI, cloud, and DevOps-related projects.
- PO 8:Communication Skills – Present and document AI and cloud-based solutions effectively to diverse technical and non-technical audiences.
- PO 9:Lifelong Learning – Adapt to evolving AI, cloud, and DevOps technologies through continuous learning and professional development.
- PO 10:Entrepreneurial Mindset – Develop AI and cloud-based solutions for industry challenges, fostering innovation and entrepreneurship.Program Specific Outcomes (PSOs).
Graduates of this program will be able to:
- PO 1:AI-Powered Cloud Solutions – Design and deploy AI-driven applications using cloud services for intelligent automation and real-time analytics.
- PO 2:Cloud Infrastructure Management – Develop, optimize, and maintain scalable cloud infrastructure with platforms like AWS, Azure, and GCP.
- PO 3:DevOps & Automation – Implement CI/CD pipelines, infrastructure as code (IaC), and cloud automation for efficient software development and deployment.
- PO 4:AI & Cloud Security – Ensure secure AI-based cloud solutions by integrating identity management, access control, and compliance strategies.
Graduates of the BCA in Artificial Intelligence & Cloud Computing with a Minor in DevOps will be able to:
- PO 1:Computational Knowledge – Apply fundamental computing principles, AI models, and cloud technologies to solve real-world problems.
- PO 2:Problem Analysis – Identify, analyze, and develop AI-driven cloud solutions for data processing, automation, and decision-making.
- PO 3:AI & Cloud Computing Implementation – Design and deploy AI-based applications using cloud platforms like AWS, Azure, and Google Cloud.
- PO 4:DevOps Practices – Implement DevOps methodologies, including CI/CD pipelines, containerization (Docker, Kubernetes), and infrastructure automation, to optimize cloud-based applications.
- PO 4:DevOps Practices – Implement DevOps methodologies, including CI/CD pipelines, containerization (Docker, Kubernetes), and infrastructure automation, to optimize cloud-based applications.
- PO 5:Data Handling & Security – Manage big data, ensure data privacy, and integrate AI-driven analytics with cloud security best practices.
- PO 6:Ethical AI & Compliance – Understand the ethical, legal, and compliance challenges of AI and cloud computing, ensuring responsible implementation.
- PO 7:Collaboration & Leadership – Work effectively in teams, demonstrating leadership in AI, cloud, and DevOps-related projects.
- PO 8:Communication Skills – Present and document AI and cloud-based solutions effectively to diverse technical and non-technical audiences.
- PO 9:Lifelong Learning – Adapt to evolving AI, cloud, and DevOps technologies through continuous learning and professional development.
- PO 10:Entrepreneurial Mindset – Develop AI and cloud-based solutions for industry challenges, fostering innovation and entrepreneurship.
