Best Education Brand 24-25" by Economic Times
Best Education Brand 24-25" 
The fields of Artificial Intelligence (AI) and Data Science are shaping the future of industries and societies, offering unparalleled opportunities for professionals with the right skills and mindset. Here’s why you should consider a career in AI and Data Science today:
Organizations across sectors are relying on AI and Data Science to gain a competitive edge. From startups to multinational corporations, the need for skilled professionals who can analyze data and develop AI-driven solutions is immense, making it one of the fastest-growing job markets globally.
Roles like Data Scientist, Machine Learning Engineer, and AI Specialist are consistently ranked among the top-paying and most in-demand jobs. The versatility of AI and Data Science opens doors to a wide range of industries, including finance, healthcare, technology, e-commerce, education, and entertainment.
AI and Data Science professionals have the power to solve real-world problems, from improving medical diagnostics to optimizing supply chains and enabling smarter cities. The field offers a unique opportunity to make a tangible difference in people’s lives.
As automation and AI transform industries, professionals skilled in AI and Data Science are well-positioned to stay relevant in a rapidly changing job market.
AI and Data Science are universally in demand, offering opportunities to work in global hubs of innovation and technology, from Silicon Valley to Singapore.
of respondents believe that AI enables a competitive advantage
are spending 4x more than last year on AI initiatives
plan to integrate AI into all enterprise applications within three years
The Praxis Post Graduate Program in AI and Data Science is an industry-aligned program designed to prepare professionals for impactful careers in artificial intelligence and data science. The curriculum, developed with expert insights, offers comprehensive coverage of cutting-edge topics, including Generative AI (GenAI). Students explore real-world applications such as content generation, personalization, and automation, while delving into advanced modelling techniques like GANs and transformers.
The program includes hands-on learning in machine learning, deep learning, big data analytics, and cloud computing. With projects, capstone assignments, and guidance from seasoned faculty, students gain a unique blend of technical expertise and business acumen. Backed by strong placement support and a proven track record, Praxis empowers students to lead innovation in the data-driven world.
A 500-hour, intensive, full-time, on-campus program that ensures deep engagement and learning.
Covers cutting-edge topics like machine learning, deep learning, natural language processing, and big data analytics.
In-depth exploration of applications (e.g., content generation, automation) and modelling techniques (e.g., GANs, transformers).
Delivered by a mix of academicians and experienced industry practitioners.
Extensive home assignments, projects, and real-world applications to enhance the learning experience.
A culminating, large-scale project where students solve real-world problems, judged by experienced industry professionals for valuable feedback and benchmarking.
Training in Python, R, TensorFlow, Hadoop, SQL, Tableau, Power BI, and cloud platforms like Azure and AWS.
A large, well-placed, and upwardly mobile alumni community that provides unparalleled support for networking, mentorship, and recruitment opportunities.
Robust assistance with a strong track record of alumni success in leading organizations.
INR 6.05 lakh
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The Learners gets exposure of Analytics and real-life use cases across Business areas like those of
The program culminates in the Capstone project whereby they gets the opportunity to apply the acquired skills and knowledges of Tools, Techniques and Business Domains to create prototypes & proof of concepts.
Graduates of the Praxis AI and Data Science Program gain a robust foundation in technical, analytical, and business skills, empowering them to excel in the competitive field of data science. Key learning outcomes include:
This comprehensive set of skills ensures that graduates are well-equipped to lead and innovate in the dynamic and evolving field of AI and data science.
Graduates with a minimum of 60% in any of the following disciplines from a recognized or Deemed University: B E /B. Tech / B. Sc (with Economics / Statistics as one of the subjects); Graduates from any other stream with Mathematics / Statistics as one of the subjects.
Post Graduates with a minimum of 60% from any of the following disciplines from a recognised / Deemed University or a recognized college: ME / M. Tech / MSc (with Economics / Statistics as one of the subjects)
Minimum of 60% in Class X and XII
Data Exploration
Data Interpretation
Predictive Modelling
Generative AI
