Computer Science & Engineering | IBM · AWS · International Placements · Internships
The Computer Science & Engineering Department at Ajay Kumar Garg Engineering College (AKGEC), Ghaziabad has built a formidable reputation as one of the most industry-integrated CSE departments in the entire AKTU ecosystem. AKGEC's CSE department distinguishes itself through strategic industry collaborations that go far beyond conventional placement tie-ups.
The department holds an active IBM Academic Initiative partnership that brings IBM technologies, tools, and certifications directly into the curriculum. Students access IBM Cloud, IBM Watson AI tools, and IBM SkillsBuild platform as part of their regular coursework, graduating with both a B.Tech degree and globally recognized IBM credentials.
Additionally, AKGEC CSE is an AWS Academy institution, offering AWS-certified cloud computing coursework and enabling students to earn AWS Cloud Practitioner and AWS Solutions Architect Associate certifications during their degree programme. This dual-credential approach makes AKGEC CSE graduates uniquely competitive in the job market.
Perhaps most remarkably, AKGEC has recorded an international placement of 1.13 CPA (Crore Per Annum) — the highest international package achieved by any AKTU-affiliated private college student — cementing its place as a top placement-performing institution in UP.
"Our CSE department at AKGEC is driven by a singular mission: to prepare students not just for their first job, but for a lifetime of growth in technology. Our partnerships with IBM and AWS ensure that every student graduates with globally recognized skills. We are proud that our alumni are making an impact in companies across India, the USA, Europe, and beyond."— Dr. Vandana Nath, Head of Department, CSE, AKGEC Ghaziabad
| # | Name | Designation | Specialization | PhD |
|---|---|---|---|---|
| 1 | Dr. Vandana Nath | Professor & HOD | Machine Learning, Data Analytics | ✅ IIT Delhi |
| 2 | Dr. Sanjiv Sharma | Professor | Cloud Computing, Distributed Systems | ✅ NIT Allahabad |
| 3 | Dr. Kamlesh Gupta | Associate Professor | AI, Computer Vision | ✅ DTU Delhi |
| 4 | Mr. Prashant Dixit | Associate Professor | Software Architecture, Microservices | Pursuing (IIT Bombay) |
| 5 | Ms. Smita Arora | Assistant Professor | Cybersecurity, Ethical Hacking | Pursuing |
| 6 | Dr. Rajesh Tiwari | Associate Professor | Database Systems, Data Warehousing | ✅ AKTU |
| 7 | Ms. Akansha Singh | Assistant Professor | Web Development, React, Node.js | Pursuing |
| 8 | Mr. Deepak Varma | Assistant Professor | Competitive Programming, Algorithms | Pursuing |
| 9 | Dr. Meenu Gupta | Assistant Professor | Natural Language Processing, BERT | ✅ JIIT Noida |
| 10 | Mr. Akash Bhardwaj | Assistant Professor | DevOps, Kubernetes, CI/CD | Pursuing |
Under the IBM Academic Initiative, AKGEC CSE students gain access to:
As an AWS Academy member institution, AKGEC provides:
| Semester | Core Subjects |
|---|---|
| Sem 1 | Mathematics-I, Physics, Introduction to Programming (C), Engineering Graphics, Professional Communication |
| Sem 2 | Mathematics-II, Chemistry, Data Structures Using C, OOP with Java, Environment Science |
| Sem 3 | Discrete Mathematics, Digital Circuits, Computer Organization, DBMS, Algorithms |
| Sem 4 | Theory of Computation, Operating Systems, Computer Networks, Software Engineering, Microprocessors |
| Sem 5 | Compiler Design, Artificial Intelligence, Web Technologies (HTML/CSS/JS/PHP), Python for DS, Open Elective-I |
| Sem 6 | Machine Learning (IBM Watson integration), Cloud Computing (AWS curriculum), Information Security, Software Testing, Open Elective-II |
| Sem 7 | Deep Learning (IBM AI), Big Data with Spark, IoT, Dept Elective-I, Major Project-I |
| Sem 8 | Blockchain, Dept Elective-II, Major Project-II, Industrial Training Viva |
Dedicated IBM-branded lab with Watson Studio, IBM Cloud Pak, DB2 database; IBM-certified instructors lead workshops.
AWS Educate sandbox environment, 50+ workstations with browser-based AWS console access; hands-on EC2, S3, Lambda labs.
GPU servers (NVIDIA Tesla), TensorFlow, PyTorch; active research in computer vision and NLP.
Kali Linux, Metasploit, GNS3, Cisco hardware routers; ethical hacking workshops every semester.
120+ workstations, multi-OS setup (Windows/Linux), all major IDEs; used for coding labs Sem 1–4.
Jupyter Notebooks, R Studio, Tableau, Power BI; used for analytics, visualization, and capstone projects.
AKGEC CSE has signed MoUs with 50+ industry partners for structured internships. Key internship partners include:
| Company | Internship Domain | Duration |
|---|---|---|
| IBM India | AI/ML, Cloud, Data Engineering | 6–8 weeks (Summer) |
| TCS iON | Software Development, Testing | 4–6 weeks |
| HCL Technologies | Full Stack, DevOps | 4–8 weeks |
| Wipro WILP | IT Services, Cloud | Semester-long (dual-mode) |
| Amazon India | SDE / Data Science | Summer (competitive selection) |
| Startups (NCR) | Product Development, Mobile Apps | 3–6 months |