FutureStack: Data Science & GenAI Course in Lucknow

Absolutely. A career gap does not prevent you from enrolling in the program. Whether you're returning to work after a break or planning a career change, the curriculum is designed to help you develop industry relevant skills through hands on learning and projects.

Yes. Final-year students are welcome to join the program. It allows you to start building practical skills in Data Science, Machine Learning, analytics, and Generative AI while you're still studying, helping you gain project experience and prepare for internships, placements, and entry-level roles ahead of graduation.

Yes. The FutureStack: Data Science & GenAI program is designed for learners from both technical and non-technical backgrounds, including B.Com, BBA, B.A., commerce, management, and other non-coding streams. The curriculum begins with the fundamentals and gradually progresses to Python, Data Science, Machine Learning, Generative AI, and hands-on projects, making it approachable even for beginners.

The learning is heavily application focused. Alongside core concepts, you'll spend significant time working with datasets, tools, projects, and implementation exercises that help reinforce real-world skills.

This module focuses on building practical GenAI systems like AI powered data assistants and RAG based chatbots using real implementation workflows. You also learn how LLMs can work alongside analytics systems and Machine Learning outputs to generate smarter insights, automate tasks, and create more interactive AI driven experiences.

The program combines Data Science, Machine Learning, GenAI, and deployment focused learning through practical classroom training and live implementation. You work with technologies like Python, SQL, Power BI, ML models, RAG applications, analytics workflows, and deployment concepts while learning how modern AI and data systems are built and used in real industry environments.

Yes. The curriculum includes hands-on exposure to Generative AI concepts, where you'll work on practical use cases involving AI-powered applications, RAG workflows, and modern AI tools.

The total program fee is ₹75,000. Depending on eligibility and the applicable admission cycle, candidates may be considered for merit-based scholarships of up to 50%. Flexible EMI and installment options are also available, making it easier to spread the cost of the program over time.

Yes, absolutely. You can visit the Learning Support Centre before enrolling to see the facilities, meet the team, understand how the classes are conducted, and get answers to any questions you may have about the curriculum, batches, fees, or career support.

The main learning happens through in person classroom sessions at the Learning Support Centre, where you'll learn directly from instructors and work on hands on activities. You'll also get access to online resources, assignments, and learning portals, so you can continue practicing and revising outside the classroom.