Executive M.Tech in Artificial Intelligence & Machine Learning

An Executive M.Tech in Artificial Intelligence and Machine Learning from the Indian Institute of Information Technology (IIIT) Vadodara is a postgraduate program designed for working professionals seeking to advance their expertise in the rapidly evolving field of AI. The curriculum is structured to provide a comprehensive understanding of AI and ML, encompassing core concepts, specialized electives, and a substantial project or dissertation.

The program is spread across four semesters and requires the completion of 80 credits. The coursework is divided into core major and minor courses, core electives, and a final project or research dissertation. Key subjects include Big Data Platforms, Deep Learning, Natural Language Processing, and Computer Vision. Students can also choose from a range of electives in areas like Advanced AI/ML Engineering and AI for Business Transformation.

Alumni Benefits

Professionals graduated through this Executive M.Tech (AI/ML) program will be inducted as Alumni of IIIT Vadodara. They will get exposed to a large pool of graduates and post-graduates across academia, industry, startups, and Government. Opportunities for collaborations related to Industry, research and consulting. Furthermore, lifelong learning and upskilling through peer-to-peer networking among well-established alumni.

Programme Certificate

The grade sheet and the degree certificate will be as per the institute guidelines. The graduates will receive their degree in the institute convocation.

Schedule & Total Hours

• Duration: 2 Years
• Weekly - 20-24 Contact Hours (14-15 Theory + 2-5 Tut/ Hands-on + 5-8 Supervised labs + 5-8 Unsupervised lab assignments)
• Number of semesters: 4 semester of course work + Project Work / Research Dissertation during the Final semester
• Typical Semester: 17 weeks of instruction + 2 weeks of examination + 1 week of semester break

Assessment & Evaluation Criteria/Mechanism

Refer to Ex. M.Tech. Rules and Regulations

Admission Process

Admission portal

• For Information

• Applicants meeting the eligibility criteria will be admitted to the program.
• The institute reserves the right to conduct a written examination and/or interview in case the need arises.

Program Features (Tutorials, Practicals, Key Takeaways)

The program focuses towards empowering professionals with advanced knowledge and skills in Artificial Intelligence and Machine Learning to solve complex real-world problems. Training the post-graduates for leadership roles in the AI and ML industry, enabling them to drive innovation and strategic decision-making. To foster a culture of continuous learning and research, encouraging graduates to stay along with the latest developments in AI and related fields. Enrolled professionals will have a strong foundation in the ethical and societal implications of AI, ensuring responsible and sustainable technology development. To equip the post-graduates with the ability to effectively communicate technical concepts and collaborate in multidisciplinary teams. To enable professionals to design, develop, and deploy robust and scalable AI and ML systems that create business value.

Campus Immersion (Duration, Inclusions/Exclusions)

One mandatory campus immersion of 5 days duration will be planned during July/ December depending on the commencement of the respective cohort. During the immersion program the students will be hosted at the IIITV-ICD campus (www.diu.iiitvadodara.ac.in) The students will be provided with hostel accommodation on a sharing basis.

Accommodation

More Information

Food

The institute mess vendor will be running the canteen/ mess services for the participants on payment basis. The food will be served in the Canteen/Mess Area.

360 View of the campus

How to Reach IIITV-ICD?

Address: IIIT Vadodara - International Campus Diu (IIITV-ICD), Education Hub, Kevdi - Diu (U.T) -362520 Air/ Rail/ Road : https://diu.gov.in/how-to-reach/

Tools and Technologies

Some of the Tools and technologies that would be exposed to during the entire course duration are, Hadoop, Apache Spark, Apache Kafka, Amazon S3, Keras, TensorFlow, Databricks, Snowflake, Google BigQuery, Docker, Kubernetes, Large Language Models (LLMs), Generative AI, OpenAI GPT, LLaMA, Hugging Face Transformers, LangChain, Retrieval-Augmented Generation (RAG), etc.