You can apply online through the official website. Admission is based on academic merit or scores from recognized entrance exams.
About Programme
The B.Tech in Artificial Intelligence and Machine Learning (AIML) lateral entry program at Apex University is tailored for diploma holders and non-engineering graduates who aspire to excel in AI and ML. This program allows direct entry into the second year, accelerating the academic journey. The curriculum delves into machine learning algorithms, neural networks, natural language processing, and computer vision, blending theoretical knowledge with practical application. Students engage in hands-on projects, internships, and real-world case studies, ensuring they acquire the skills needed for the tech-driven industry. With a focus on critical thinking and problem-solving, Apex University's AIML program prepares graduates for cutting-edge careers in AI and ML, equipping them to meet the demands of the rapidly evolving technological landscape.
Course Details
Eligibility Criteria
Passed Minimum THREE years / TWO years (Lateral Entry) Diploma examination with at least 45% marks (40% marks in case of candidates belonging to reserved category) in ANY branch of Engineering and Technology.OR Passed B.Sc. Degree from a recognized University as defined by UGC, with at least 50% marks for general (45% marks in case of candidates belonging to reserved category) and passed 10+2 examination with Mathematics as a subject.
Fees Per Semester
65000/-
Duration / Schedule
3 Years (6 Semesters)
Seat Metrix
50% CUET and 50 % AUCET
SCHOLARSHIP AVAILABLE
Scholarship up-to 10 Lacs available for meritorious students
Check Eligibility
Programme Structure
Programme Objectives
B.Tech in AIML Program at Apex University
The B.Tech in AIML program at Apex University is designed to cultivate the next generation of AI innovators and thought leaders. Through an immersive and hands-on curriculum, students gain the expertise needed to excel in the rapidly evolving field of AI and ML.
Program Objectives:
- Master Core Concepts: Provide a deep understanding of AI and ML algorithms, neural networks, and natural language processing.
- Practical Implementation: Offer extensive hands-on experience through lab work, internships, and real-world projects, enabling students to apply theoretical knowledge.
- Innovative Solutions: Encourage creativity and innovation in developing AI-driven applications and solutions that address contemporary challenges.
- Analytical Excellence: Foster strong analytical and problem-solving skills to tackle complex AI and ML problems.
- Ethical AI Practices: Integrate ethical considerations and responsible AI practices into the learning process, ensuring graduates build AI solutions that benefit society.
- Career Readiness: Prepare students for diverse roles in AI, ML, data science, and beyond, equipping them with the skills to thrive in various industries.
- Professional Growth: Develop essential professional skills, including teamwork, communication, and project management, for a successful career in AI and ML.
Course USPs
- Cutting-Edge Curriculum: Comprehensive coverage of AI and ML topics including neural networks, natural language processing, computer vision, and deep learning, ensuring students stay ahead in the field.
- Hands-On Learning: Emphasis on practical experience through projects, internships, and lab work, enabling students to apply AI and ML concepts to real-world problems.
- Research Opportunities: Access to advanced research centers and labs, encouraging students to engage in innovative AI and ML research projects.
- Industry Collaboration: Strong partnerships with tech companies for guest lectures, internships, and collaborative projects, providing industry exposure and networking opportunities.
- Expert Faculty: Guidance from experienced professors and industry practitioners with deep knowledge in AI and ML, offering mentorship and support.
- Interdisciplinary Approach: Integration of AI and ML with other fields such as data science, robotics, and cybersecurity, broadening students' skill sets and career prospects.
- Career Readiness: Preparation for diverse roles such as data scientists, machine learning engineers, AI researchers, and more, with a focus on developing critical thinking and problem-solving skills.
- Global Opportunities: Exposure to international collaborations, conferences, and exchange programs, enhancing students' global perspectives and career opportunities.
- State-of-the-Art Facilities: Access to modern labs, computing resources, and AI tools, providing an optimal learning environment for mastering AI and ML.
Career Opportunities
Robotics Engineer:
Develops intelligent robotic systems, integrates AI capabilities, and enhances automation in industries like manufacturing and healthcare.
Data Scientist:
Analyzes large datasets, extracts meaningful insights, and applies predictive modeling techniques for strategic decision-making.
Machine Learning Engineer:
Designs and implements machine learning models, optimizes data processing, and improves AI-driven applications across various industries.
AI Engineer:
Develops artificial intelligence models, machine learning algorithms, and automation systems to enhance data-driven decision-making.
Frequently Asked Questions
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1. How can I apply for the program?
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2. Are there scholarships available for this program?Yes, scholarships are offered based on academic performance, entrance exam results, and financial need.
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3. How can I apply for a scholarship?You can apply for scholarships during the admission process. Ensure that you provide all required documents, including entrance test scores, academic records, and any other necessary certifications.
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4. Is there a management quota or direct admission available?Apex University primarily admits students through AUCET and CUET. However, for details about specific admission pathways, you may contact the admissions office.
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5. What facilities are available for students at Apex University?Apex University provides state-of-the-art labs, a fully equipped library, modern classrooms, sports facilities, and hostel facility.
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Is there a focus on AI ethics in this course?Yes, topics like AI ethics, data privacy, and algorithmic bias are part of the curriculum.
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What kind of internships can AIML students pursue?Students can intern with tech firms, AI startups, or research organizations focusing on machine learning.
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Are hands-on projects included in the AIML curriculum?Yes, students work on real-world projects like predictive analytics, chatbots, and recommendation systems.
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Which programming languages are taught for AI/ML?Python, R, and MATLAB are commonly taught for AI/ML development.
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What is the scope of AI and ML in the industry?AI and ML are highly in demand, with applications in healthcare, finance, robotics, and autonomous systems.
Placement Highlights
38LPA
Highest Package
10LPA
Avg. Package
14k+
Total Placements
700+
Placement Drives
Our Top Recruiters
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