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Masters’ Union - rAIse
Certification in Data Science and AI
Powered by Rabbitt AI and InterviewClub
An 8-Months Programme preparing you for roles in Data Science, ML and AI at Top Companies
Eligibility: BSc. and B.Tech Students
Course Duration: Feb - Oct 2025
Mode: Offline (Saturdays and Sundays)
Admissions Deadline : 15th Jan, 2025
Programme Milestones
Milestone 1
Building Data and AI Foundations
Establish a solid foundation in AI/ML and get introduced to the real world applications of Gen-AI
Milestone 2
Application of Generative AI in Business
Dive deep into Generative AI & Prompt Engineering to create transformative solutions across industries
Milestone 3
Crafting End-to-End AI Solutions
Design, train, and deploy an end-to-end project in fields like Healthcare, Education, or Finance
Learn from
Industry
Leaders
Month 1:
Month 1:
Bridging AI Foundations
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Refresh AI basics: Neural Networks, Deep Learning, and Learning Techniques.
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Lay the groundwork for AI programming with Python and TensorFlow.
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Build problem-solving skills through real-world AI challenges.
Month 2:
Month 2:
Unlocking the Power of Generative AI
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Explore Generative Models: Transformers, GANs, and VAEs.
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Apply Generative AI in media, design, and text synthesis.
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Learn fine-tuning techniques for task-specific AI solutions.
Month 3:
Month 3:
Demystifying Large Language Models (LLMs)
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Understand LLM architecture and training methodologies.
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Explore domain-specific applications and fine-tuning strategies.
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Analyze LLM limitations and efficiency boosters.
Month 4:
Month 4:
Precision Prompt Engineering
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Master effective prompt structures for AI tasks.
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Optimize performance with automated and consistent prompts.
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Apply best practices across diverse use cases.
Month 5:
Month 5:
Mastering Fine-Tuning Techniques
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Learn advanced fine-tuning: RLHF, instruction tuning, and QLoRA.
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Optimize computational resources with parameter-efficient techniques.
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Implement feedback loops for model refinement.
Month 6:
Month 6:
Building Smarter Systems with RAG
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Understand RAG: Combining retrieval and generation processes.
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Develop a robust RAG pipeline using LangChain and Gemini Pro.
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Implement RAG for real-time information retrieval solutions.
Month 7:
Month 7:
Evaluating and Deploying LLMs
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Use metrics to measure LLM accuracy, relevance, and efficiency.
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Build and deploy LLMs on Huggingface for practical applications.
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Study real-world use cases to enhance user experience.
Month 8:
Month 8:
Capstone Project - AI in Action
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Solve real-world problems with a complete AI project lifecycle.
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Integrate generative AI into industries like finance, healthcare, or media.
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Present and refine projects through expert feedback and code reviews.
What do you get from
MU-rAIse
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Get Hired by Top Companies
Exclusive placement opportunities with Rabbitt.AI, Krutrim, Musigma, and many other prominent players in the field.
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Network with the Best in the Industry
Access to mentorship and guidance from leaders driving innovation at Google, Microsoft, Nvidia, and IBM and more.
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Prepare with Those who have walked the Journey
Career coaching and guidance by professionals to help you stand out and secure top-paying roles like Data Scientist, AI Engineer, and Analytics Lead.
Application Process
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Step 1: Fill the Application Form
Share your academic performance, credentials and aspirations by filling our online application form.
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Step 2: Aptitude Assessment
Demonstrate your analytical and problem-solving skills through a multiple-choice and scenario-based test.
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Step 3: Interview with Experts
After receiving the shortlist mail, get evaluated by our expert panel and demonstrate your potential to excel in Data and AI.
Cost and Logistics
Programme Fee:
INR 20,00,000/-
INR 5,00,000/-
50 Scholarships are available for students with outstanding achievements.
Classes will be held Saturday and Sunday from 10AM to 4PM.
Accommodation can be availed if required at INR 3000/- per night (inclusive of food)