Candidates eligible for the course must have passed 12th PUC/ISC/CBSE or equivalent with a minimum of 45% marks (40% for SC/ST), with Physics and Mathematics as compulsory subjects along with Chemistry/Electronics/Computer Science/Biology. Additionally, candidates meeting the IB or Cambridge curriculum criteria, as well as those from NIOS, and possessing acceptable entrance scores such as UNIGAUGE, JEE, or ComedK, are also eligible to apply.
The B.Tech. Computer Science and Engineering (AI-driven DevOps) programme at JAIN (Deemed-to-be University) one of the top Computer Science Engineering colleges in Bangalore effectively combines basic CSE principles with knowledge of Artificial Intelligence (AI) and DevOps methods. This allows students to become proficient in AI algorithms, Machine Learning, and DevOps techniques such as CI/CD and infrastructure as code. Upon completion of the programme, students will have the skills to automate testing, deployment, and monitoring processes using AI-driven solutions. They will also have the opportunity to develop, deploy, and manage AI-driven applications within DevOps environments through hands-on projects and industry internships. This specialised programme provides a strategic option for individuals looking for exciting and well-paying careers in technology. It equips graduates with a versatile set of skills that are in high demand in industries like finance, healthcare, and e-commerce. Graduates are prepared for positions as AI/ML engineers, DevOps engineers, and cloud architects, enabling them to innovate and succeed in the ever-changing tech industry while maintaining professional ethics and a dedication to ongoing learning and interdisciplinary research.
The B.Tech. Computer Science and Engineering (AI-driven DevOps) programme at JAIN (Deemed-to-be University) one of the top Computer Science Engineering colleges in Bangalore blends foundational principles of CSE with expertise in Artificial Intelligence (AI) and DevOps methodologies. Students learn AI algorithms, Machine Learning, and DevOps practices like CI/CD and infrastructure as code. Emphasizing seamless integration, graduates automate testing, deployment, and monitoring processes using AI-driven solutions. Through hands-on projects and industry internships, students develop skills in developing, deploying, and managing AI-driven applications within DevOps environments. Graduates excel as professionals with continuous learning, interdisciplinary research, entrepreneurial skills, and professional ethics.
A B.Tech. in Computer Science and Engineering (AI-Driven DevOps) is a strategic choice for those seeking a dynamic and lucrative career in technology. This specialized program offers a unique blend of Artificial Intelligence (AI) and DevOps, two rapidly growing fields. Students learn to harness AI to automate and optimize DevOps practices, leading to more efficient software development and deployment. Graduates emerge with a versatile skill set, in high demand across industries such as finance, healthcare, and e-commerce. With excellent career prospects as AI/ML engineers, DevOps engineers, and cloud architects, this program equips students to innovate, contribute to future technologies, and thrive in the evolving tech landscape.
On completion of the CSE in AI-Driven DevOps, students will possess the following programme-specific outcomes:
PSO 1: The Ability to demonstrate proficiency in integrating AI technologies into DevOps workflows, leveraging machine learning algorithms and automation techniques for improved efficiency and reliability.
PSO 2: Graduates will possess the skills to implement AI-driven monitoring and analytics solutions for real-time performance monitoring, anomaly detection, and predictive maintenance in DevOps environments.
PSO 3: Able to create and improve CI/CD pipelines for automated software delivery and develop algorithms.
Some highlights of the Computer Science Engineering (AI-Driven DevOps) programme include:
Students gain the ability to demonstrate proficiency in integrating AI technologies into DevOps workflows, leveraging machine learning algorithms and automation techniques for improved efficiency and reliability. Graduates will possess the skills to implement AI-driven monitoring and analytics solutions for real-time performance monitoring, anomaly detection, and predictive maintenance in DevOps environments. They will be able to create and improve CI/CD pipelines for automated software delivery and develop algorithms.
Department Specific Electives |
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| DSE Tracks | Elective-I | Elective-II | Elective-III | Elective – IV | Elective – V | Elective – VI | |||||||
| 5th Semester | 6th Semester | 6th Semester | 7th semester | 7th Semester | 8th Semester | ||||||||
| Track-I | Data Science and Data Engineering for DevOps | Data Science and its Applications | Data engineering for DevOps | Natural Language Processing | Cloud Computing for Data Science | Big Data Analytics on Cloud | PREDANAL for DevOps | ||||||
| Track-II | AI & DevOps Automation | Artificial Intelligence | Computer vision | Automated Testing with AI | Reinforcement Learning | Digital Image Processing | AI-driven CI/CD | ||||||
| Track-III | Computational Models and Data Mining | Numerical Analysis and Optimization | Data Warehousing and Data Mining | Time Series Analysis | Optimization and Automation | Bio-Inspired Optimizations Techniques | Optimization and Automation | ||||||
Open Elective Baskets |
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| S. No. | Finance and Accounting | Entrepreneurship and new venture creation | Marketing and Management |
| 1 | Finance for non-finance professionals | Entrepreneurship Theory and Practice | Marketing Management |
| 2 | Wealth Management | Launching and Managing an enterprise | Consumer Behaviour |
| 3 | Indian Financial System | Business Plan and Project Implementation | Brand Management |
| 4 | Financial Reporting | Sustainable Entrepreneurship | Product Management |
These are the careers that a Computer Science and Engineering (AI-Driven DevOps) graduate can follow on successful completion of the programme:
After completing a B. Tech in Computer Science and Engineering with a specialisation in AI-driven DevOps, there are several further study options available to enhance your knowledge and skills in this field:
Students can choose to specialise in areas such as Artificial Intelligence, Machine Learning, Data Science, AI-driven DevOps, Cloud Computing, or Software Engineering. A Master's degree will deepen your understanding of these subjects and open up higher-level job opportunities.
If you're passionate about research and want to contribute to cutting-edge developments in the field, a PhD could be the path for you.
These programmes are usually shorter in duration compared to master's degrees and focus specifically on DevOps principles, tools, and practices. They can provide practical, hands-on experience with deployment pipelines, automation, and infrastructure management.
Alongside you can pursue certifications in specific technologies or methodologies. For instance, AWS Certified DevOps Engineer, Microsoft Certified: Azure DevOps Engineer Expert, Google Cloud Professional DevOps Engineer, Certified Jenkins Engineer etc.
This program would be particularly relevant for someone with a background in DevOps. It focuses on the management of IT systems, projects, and teams.
Students are provided with a structured learning path integrated with contributions from the following organizations. This approach facilitates a holistic comprehension of diverse facets within the field, empowering students to cultivate specialized skills and knowledge as they progress through their academic journey.