India’s Only AI-Native B.Tech Degree

The curriculum helped me understand the value of teamwork. I earned certifications in Microsoft Azure Data Fundamentals and Microsoft Data Science Associate. It gave me a clear direction. I got to explore real-world tools and concepts in AI and Data Science, which helped me realize I enjoy working on practical ML projects and want to build a career in this space.

From an internship in ML pipelines to building a fitness tracker model, I learned how to apply ideas in practical settings. The mentorship I received gave me clarity to pursue both AI and space-tech together, my two biggest passions.

I joined to explore tech for business impact. Though the learning pace was fast, it introduced me to integrated technologies and helped me build a strong foundation through certifications like Azure Data Fundamentals.

Industry tie-ups and mentor-led learning gave me insights into data, AI, and project building, like subscription churn analysis and Android solutions for the disabled. This helped me map out a focused path for my master’s in a data-related domain.

Exploring AI tech and understanding business through real-world projects like US Pathways helped me find my path in entrepreneurship. The design thinking mindset from early semesters shaped how I now approach innovation.

Industry Collaboration Program, Curriculum Aligned to current industry requirement, and Industry Working Professional's Mentoring helped me with timely updating ourselves to stay relevant in the current IT market, time management, and collaborating with the team. I earned certifications in Microsoft Azure Data Fundamentals and Microsoft Data Scientist Associate. It provided time to time exposure to the current market scenarios rather than sticking to the decade old curriculum. Since this is providing a one year industry internship, I would recommend it.

The specialized services that were provided within the course highlighting Artificial Intelligence and Data Engineering helped me gain a basic understanding of AI and ML, Data analysis, Data Science and Data Engineering. I earned the DP 100 - Azure Data Scientist Associate, DP 900 - Azure Data Fundamentals, and completed RPA Automation with UI Path training by ICT Academy. This Program increased my knowledge of Artificial Intelligence and Data and pursued the carrier goals towards AI and automation. If my peer was keenly interested in playing with data, creating and storytelling the dashboards, if my peer is having interest in AI, I would definitely recommend this program.

The course plan and advanced industry relevant curriculum helped me explore Cloud data engineering, ML model training, Data analysis and visualization. Earning the DP-100 Azure data scientist associate certification has positively influenced my career goals as I have been able to come to know about my capabilities and technical strengths and worked on them for personal enhancement and upskilling

Internship projects, hands-on practice in data science, and guidance from multiple mentors helped me shape my career path toward data science. Certifications like DP-100 made the transition smoother and more credible.

Working on a business-focused data analytics project gave me clarity about my goals in data science. It taught me how to approach problem-solving with real-world tools and collaborate effectively—key skills I now carry forward.

This course blended AI and DE in a way most others didn’t. I built professionalism, analytical thinking, and strong communication, and earned Microsoft Azure certifications that elevated my academic journey.

Projects like US Pathways and AI Agent Builder taught me to extract business insights and build autonomous systems. Certifications from Amazon and Coursera, combined with internship experience, helped me bridge theory and practice confidently.

Through hands-on projects in NLP and Generative AI and certifications like Azure Data Fundamentals and Agentic AI, I found clarity on what I want to pursue. This experience helped me focus better and commit to building a strong career foundation.

Building data pipelines with Airflow and DBT, exploring automation tools, and interning in real tech environments shaped my journey. The Power BI certification refined my skills and pushed me toward roles like Automation Architect and Data Engineer.

The AI boom and real-world tech relevance pulled me in. I explored new skills through projects and learned to balance studies with personal growth. Harvard’s EDX course and the ArtEvo Hackathon made the experience even richer and more impactful.

I worked on real-life datasets like US Pathways, TMDB, and Loan Analysis using Power BI and Tableau, and earned certifications including DP-900 and DP-100. This experience reshaped my goals, I now aim for roles in Business Intelligence and Data Analytics.

The internship opportunities helped me apply AI concepts and build presentation skills. Earning my DP-900 certification further validated my capabilities and guided my interest in tech.

During my studies, internships and projects like the News Summarizer helped me realize how much I enjoy data analysis and ML. DP-900 certification gave my resume an edge and boosted my confidence in the field.

Learning to stay up to date with tech, manage time, and work in teams helped me grow both technically and personally. Certifications in Microsoft Azure Data Fundamentals and Data Scientist Associate strengthened my industry readiness.

Internships, AI/ML concepts, and a Udemy Python bootcamp gave me real-world insights into data science. This course offered practical experience that made me better prepared for job opportunities in the field.

Hands-on industrial projects like the US Pathway analysis, coupled with Python and data analysis training, made the learning real and guided my career roadmap. The exposure to current tools and trends made me more confident in pursuing tech-driven goals.

From cleaning real-world datasets to building ML models and deploying dashboards in Power BI, this course gave me everything I needed to find my space in data science and cloud. Projects like US Pathway and Mediscan HR Analytics, along with DP-900 and DP-100 certifications, helped me discover what I truly enjo

This course helped me stay in sync with fast-evolving trends in AI, ML, and deep learning. The constantly updated syllabus made sure we weren’t learning outdated concepts, which helped me land my role as a Product Support Engineer at Razorpay.

Exploring data engineering, visualization, and LLMs through this course helped me level up with industry-grade skills. Earning Microsoft certifications like DP-100, AI-900, and DP-900 gave me the confidence to aim for future roles in AI and data. The structured syllabus really aligned with what the industry expects, and that made all the difference.