What key features does the B.Tech programme at IILM University offer?

<p>The B.Tech programs at IILM University offer several key features designed to provide students with a comprehensive and industry-relevant education:</p><ol><li><p><strong>Specialized Tracks</strong>: The programs offer specializations in areas like <strong>Artificial Intelligence (AI)</strong>, <strong>Machine Learning (ML)</strong>, <strong>Blockchain Technology</strong>, <strong>Cybersecurity</strong>, <strong>Cloud Computing</strong>, and <strong>Internet of Things (IoT)</strong>. These tracks help students gain expertise in emerging technologies that are highly sought after in the job market.</p></li><li><p><strong>Industry Collaboration</strong>: IILM partners with major tech companies such as <strong>IBM</strong> for courses in AI and ML, ensuring that students receive training that aligns with current industry standards.</p></li><li><p><strong>Practical Exposure</strong>: The university emphasizes hands-on learning, offering labs and projects that involve real-world applications. This includes working with tools like <strong>Hyperledger</strong> for blockchain and exposure to <strong>big data</strong> and <strong>cloud technologies</strong>.</p></li><li><p><strong>Research Focus</strong>: Students have opportunities to engage in research through collaborations with industries, further strengthening their understanding of advanced topics like <strong>data science</strong>, <strong>deep learning</strong>, and <strong>pattern recognition</strong>.</p></li><li><p><strong>Internships and Placement Support</strong>: The university's strong placement cell and industry connections provide B.Tech students with internship and placement opportunities in top companies across various sectors.</p></li></ol><p>&nbsp;</p>

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<p>The B.Tech programme at IILM University offers the following key features:</p><p>- Inclusion of future-ready technologies, skills, and tools in the curriculum.<br>- Coverage of all technologies related to Artificial Intelligence and Data Science.<br>- Hands-on programming sessions and projects for practical learning.<br>- Promotion of learning through industry mentorship.<br>- Curriculum designed by leading academicians and industry experts.<br>- Continuous guidance and mentoring from knowledgeable academicians and technical leaders with extensive experience in AI and ML.</p>

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