What is the year wise curriculum at Polaris School of Technology?

<p data-path-to-node="3">The <strong data-path-to-node="3" data-index-in-node="4">B.Tech in Computer Science &amp; Engineering (AI &amp; ML)</strong> at Polaris School of Technology, awarded by <strong data-path-to-node="3" data-index-in-node="99">Medhavi Skills University (UGC Recognized)</strong>, is built on a <strong data-path-to-node="3" data-index-in-node="157">Living Syllabus</strong>. This means while the core engineering credits are fixed, the specific tools and libraries are updated in real-time by industry founders to match current global tech standards (e.g., swapping older libraries for the latest AI frameworks).</p><p data-path-to-node="4"><strong data-path-to-node="4" data-index-in-node="0">Year 1: Foundation in Programming &amp; Web Development</strong></p><ul data-path-to-node="5"><li><p data-path-to-node="5,0,0"><strong data-path-to-node="5,0,0" data-index-in-node="0">Technical Focus:</strong> Front End Web Development, Foundations of Programming (FOCP), Java &amp; Data Structures and Algorithms (DSA), Introduction to Back-End Development, Advanced DSA, MERN Stack (MongoDB, Express, React, Node.js).</p></li><li><p data-path-to-node="5,1,0"><strong data-path-to-node="5,1,0" data-index-in-node="0">Outcome:</strong> Ability to build full-stack applications, contribute to global Open Source repositories, and secure first-year internships with high-growth startups.</p></li></ul><p data-path-to-node="6"><strong data-path-to-node="6" data-index-in-node="0">Year 2: Industry-Ready Specialization</strong></p><ul data-path-to-node="7"><li><p data-path-to-node="7,0,0"><strong data-path-to-node="7,0,0" data-index-in-node="0">Technical Focus:</strong> AI/ML Fundamentals, Advanced Back-End Systems, Introduction to Machine Learning, Data Science &amp; Analytics, AR/VR Development, AI-Augmented Development, Introduction to Deep Learning, and AI Ethics &amp; Responsibility.</p></li><li><p data-path-to-node="7,1,0"><strong data-path-to-node="7,1,0" data-index-in-node="0">Outcome:</strong> Proficiency in building data-driven tools, ML classifiers, and VR projects.</p></li></ul><p data-path-to-node="8"><strong data-path-to-node="8" data-index-in-node="0">Year 3: Advanced AI/ML Engineering</strong></p><ul data-path-to-node="9"><li><p data-path-to-node="9,0,0"><strong data-path-to-node="9,0,0" data-index-in-node="0">Technical Focus:</strong> Applied AI/ML, Generative AI, Cloud Computing &amp; DevOps (AWS/Azure/Docker), Neural Networks, Advanced DSA, and Natural Language Processing (NLP).</p></li><li><p data-path-to-node="9,1,0"><strong data-path-to-node="9,1,0" data-index-in-node="0">Outcome:</strong> Capacity to train specialised AI models, deploy scalable cloud applications, and architect production-grade intelligent systems used in enterprise environments.</p></li></ul><p data-path-to-node="10"><strong data-path-to-node="10" data-index-in-node="0">Year 4: Specialized Deep-Tech &amp; Launch</strong></p><ul data-path-to-node="11"><li><p data-path-to-node="11,0,0"><strong data-path-to-node="11,0,0" data-index-in-node="0">Technical Focus:</strong> Developing Custom LLMs (ChatGPT-style), Drone Programming, Smart Home &amp; IoT Systems, Quantum Computing, Reinforcement Learning, and Autonomous Robotics.</p></li><li><p data-path-to-node="11,1,0"><strong data-path-to-node="11,1,0" data-index-in-node="0">Outcome:</strong> Graduation with a diverse <strong data-path-to-node="11,1,0" data-index-in-node="35">Product Portfolio</strong> and the opportunity to launch a venture through the <strong data-path-to-node="11,1,0" data-index-in-node="105">PST Tech Combinator ($10,000 Seed Fund)</strong> or join firms as a Senior Product Engineer.</p></li></ul>

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