Best Artificial Intelligence and Machine Learning College in Association with IBM

Highlights of Department

• Unique Programs: With focus on contemporary areas in Technology & Management, AIT provides human resources to perform in fast-evolving environments.
• Industry Collaborations: AIT provides ‘Best in Market’ methods & resources to its students by collaborating with market leader organizations in course areas.
• Best in Class Faculty: AIT has built a team of industry experienced, highly competent & passionate individuals who can provide unmatchable teaching experience to the students.
• Modern Teaching Pedagogies: AIT deploys a unique blend of classroom & non-classroom methods of teaching to deliver impactful teaching experience to the students.
• World Class Campus Facilities: AIT has developed state of the art infrastructure equipped with modern tools & facilities needed for delivering world class education.
• International Collaboration: AIT collaborates with Global Universities & other Organizations to provide AIT students with global exposure & experience in course areas.
• Events and Exposure: AIT provides ample opportunities for all students to participate and groom themselves through various technical and extra-curricular events and activities.
• Student Leadership: AIT has conceptualized many Clubs and Committees to allow students to develop their leadership skills and make the education experience enriching

Where should you do this

Indeed, at University Institute of Advanced Computing, Chandigarh University
Things which you will Love about us and the one we take pride in:

• We are Modern and Advanced in our Approach.
• Our Alumni are working at Premium Profiles in Top MNCs.
• Our Faculty are Industry Trained, Passionate about Teaching and Student Centric.
• We use more Practical’s and Workshops than long Lectures.
• We will Teach you as much in Labs as in Classrooms.
• Our Infrastructure and Facilities are World Class.
• We love Research and do it Rigorously.
• We are super responsive, flexible and adaptable to changing situations.
• We have a Big Goal: To make you Successful in your Career and Life.

• Technology Centered Degree: This program will make the students confident in working on Artificial Intelligence and Machine Learning technologies and become industry ready by having them practice for AWS certifications
• Globally Benchmarked Content: This program provides enhanced curriculum and practice benchmarked with global standards of start-up Eco System and even helps student get Globally Recognized AWS Certifications at Highly Discounted Rates
• Access to World Class Resources: With this program students shall get access to intellectual and human resources in the area of these technologies including hands-on skills on Advanced Cloud Technologies, and access to AWS tools and technologies for practical.
• Industry Experienced Practitioners as Trainers: The faculty for this course come with a long industry experience in these technologies whom are in sync with needs and standards of different roles in industry
• Flexible Credit System: With this program students even get lot of flexibility to enrich their education experience through open electives, MOOCs courses, exchange programs, field studies & internships
• Project and workshop-based learning: With the program students would be working on Projects in their third and final year and would also be exposed to various workshops, guest lectures and even hackathons

• Curious to Apply this advanced Artificial Intelligence and Machine Learning technology in field of healthcare, gaming, finance, data security and many more.
• Fascinated by this trendy world of Artificial Intelligence and Machine Learning and are eager to take it further by Researching its application in domains not just limited to banking, healthcare, electoral system but much more like music industry and even the automotive industry
• Passionate about latest set of technologies and want to build In-depth Knowledge of Deeplearning, Human Computer Interaction and Augmented Reality
• Determined to leave a foot print by integrating the Artificial Intelligence and Machine Learning with other technologies like IoT, Data science and embark on Entrepreneurial journey of their own.
• Ambitious to place themselves at top class Global leadership positions in world of Artificial Intelligence and Machine Learning, leading at technological as well as managerial front.

Industry sectors needing Artificial Intelligence and Machine Learning:

• Social Media
• Healthcare Industry
• Finance
• Entertainment
• Travel & Transport
• Agriculture
• Education
• Automotive

Industry demand of Artificial Intelligence and Machine Learning talent:

• Artificial Intelligence industry revenue will grow to $37.9 Billion by 2026 at CAGR of 18.4%-By IDC
• Entry level salary for AI engineer could be around 8 Lakhs INR/ annually-By Simplilearn
• Most in demand Artificial Intelligence & Machine Learning Job Profiles – By Naukri . com
• AI Developers, AI Engineer, AI Project Manager, AI Business Development Manager, AI Team Leader, Data Scientist , Machine Learning Engineer, AI Architect, Solution Architect, ML Architect, ML Specialist, ML Applied Research Scientist

Interesting and ambitious Industry applications

• Healthcare: With the help of AI, doctors are able to diagnose faster and can inform patents beforehand about the worsening conditions, so that medical action could be taken before hospitalization.
• Finance: Utilization of AI via chatbot, implementing automation, adaptive intelligence, algorithm trading has advanced financial institutions for better decision making and execution.
• Social Media: AI has been helping organizing and managing huge amounts of data for various social media websites like Facebook, Twitter and eventually helping them analyze the data to identify latest trends and the needs of different users.
• Speech Recognition: Using features like “Search by voice” and utilizing machine learning algorithms several voice assistants like Siri, Cortana, Alexa and Google assistant companies are revolutionizing user assistance experience.
• Product Recommendation: For ecommerce industries like Amazon and entertainment companies like Netflix, machine learning is helping out customers with product recommendation as per customer interest.

The curriculum of this program is designed in such a way that students are exposed to the Cloud Fundamentals, System and Network Security, Data Security and Governance, Penetration testing and ethical hacking. The curriculum follows blended approach of theory as well as practical via Labs, workshops, training and projects.

Key Highlights of Learning Process

• Extensive Programming Training
• Hackathons
• Group Tasks & Assignments
• Industry Guest Speakers
• Research Assignments
• Internships and Training
• Programming Competitions
• Simulation Exercises
• Case Discussion Methods
• Workshops and Seminars
• Industrial Visits & Trips
• MOOCS

• Introduction to AIML: This module acquaints students with Artificial Intelligence and Machine Learning, which is a rising innovation stage for creating intelligent machines with the help of intelligent computer programs, and there by imitating human behavior.
• Advanced Probability and Statistics: The course begins with the introduction of random variables and probability distributions, Multiple Correlation and Regression which is widely utilized in all engineering applications. The students are then introduced to two dimensional random variables. The course further emphasizes on the concept of method of estimation
• Introduction to Data Science: This module is intended to introduce to the students the concepts of data science, along with the introduction to Big data and associated industry applications.
• Python for Machine Learning: The course begins with the introduction the Python documentation which is widely utilized in all engineering applications. The students are then introduced to Numpy. The course further emphasizes on the data visualization and pre-processing techniques. Then the students are introduced simple machine learning strategies
• Machine Learning: This course that will cover the end-to-end process of data investigation using machine learning lens. It will cover data extraction as well as representation in best possible way. IT will help student learn machine learning algorithms as well as evaluation of their performance.
• Predictive Analytics: The course begins with the introduction of data mining which is widely utilized in all applications. The students are then introduced to CRISP data mining steps and its applications in real life. The course further emphasizes on the concept of various data mining models, predictive analytics, and the process to create predictive model. Then the students are introduced to real time predictive models.
• Artificial Intelligence: This is an introductory course to AI and will give an overview of the components for AI research and developments to date. It will cover the AI programming of intelligent agents such as search algorithms, games and logic problems.
• Natural Language Processing: This course drives students through basic to advanced Natural Language Processing with topics as summarization, sentiment analysis and even dialogue state tracking.
• Deep Learning: This course covers modern neural network from the field of deep learning, making students learn Deep learning algorithms to extract high-level representations of data and there by maximize performance on a given task.

Collaboration with SAS Institute for BE CSE AIML

BE CSE AIML at Chandigarh University is partnered the world leader in analytics technologies, SAS. This partnership makes SAS’s two globally recognized certifications optionally available.

• SAS Certified Specialist: Visual Business Analyst
• SAS Certified Specialist: Forecasting & Optimization

These certifications are aimed at preparing students for emerging data science and analytics in MNCs. This comes is in addition to IBM collaboration we already have in this program.

• Adding and manipulating data items within SAS Visual Analytics
• Analyzing data with SAS Visual Analytics
• Designing and sharing reports using SAS Visual Analytics

Students undertaking the certification two are skilled in topics such as -

• Automatically create and fit custom forecast models using structured analytic workflows or pipelines.
• Visualize modeling data using attribute variables.
• Refine forecast models to improve forecast accuracy.
• Apply overrides to generated forecasts.

About SAS

SAS Institute Inc. is an American multinational developer that operates as a business analytics software and service company. It has a market share of more than 25 percent, and is the leading vendor in the global advanced and predictive analytics software market. With 43 years of focused experience in Business Analytics, the SAS Institute Inc. provides software applications including business intelligence, data integration, fraud management, financial intelligence, and IT management. The company operates worldwide and has been ranked as the number 1 Fortune Company in “100 Best Places to Work in America.”