Machine learning (ML) is a subfield of AI that deals with creating algorithms that can learn from data and make predictions based on that data. This allows them to make decisions based on what they've seen before, rather than being given explicit instructions on what to do. This programme discusses AI and Machine Learning methods based in different fields, including neural networks, machine Intelligence, Deep Learning, Devops, Cyber security, Natural language processing and data mining etc, in order to present a unified treatment of machine learning problems and solutions.
The scope and significance of AI and ML are enormous. They have the ability to change our lives in ways we can't even imagine right now.
The biggest difference between these two technologies is that artificial intelligence involves programming machines so that they can think like humans do, while machine learning does not require programming; instead, it uses algorithms to analyze data and make predictions based on those analyses. Both AI and ML are great at making decisions quickly and accurately, which means they're perfect for everything from medicine (diagnosing diseases) to finance (making stock predictions).
Ultimately, the goal is to develop an AI or ML system that's as close as possible to being human-like in its abilities: being able to understand context, convey emotion, etc. And although there's still a long way to go before achieving this goal (and it might never actually be reached!), these technologies are already having a huge impact on our lives today -- especially when it comes to making our lives easier!
To develop globally competent and ethical professionals in the field of Artificial Intelligence and Machine Learning for noteworthy contribution in research, innovation and sustainable development.
Impart rigorous training to generate knowledge through the hands on experience on latest tools and technologies in Artificial Intelligence and Machine Learning.
Inculcate problem solving and team building skills and promote lifelong learning with a sense of societal and ethical responsibilities.
Mould students to be technically competent through innovation and leadership with collaboration of industry experts.
Provide a conducive environment for faculty to engage in and train students in progressive and convergent research themes by establishing Centre of Excellence.
| Students are expected to know and be able to | ||
|---|---|---|
| PO1 | Engineering knowledge | An ability to apply knowledge of mathematics, computing, science, engineering and technology. |
| PO2 | Problem analysis | An ability to define a problem and provide a systematic solution with the help of conducting experiments, analyzing the problem and interpreting the data. |
| PO3 | Design/Development of Solutions | An ability to design, implement, and evaluate a software or a software/hardware system, component, or process to meet desired needs within realistic constraints. |
| PO4 | Conduct Investigation of Complex Problems | An ability to identify, formulates, and provides systematic solutions to complex engineering/Technology problems. |
| PO5 | Modern Tool Usage | Modern Tool Usage An ability to use the techniques, skills, and modern engineering technology tools, standard processes necessary for practice as an IT professional. |
| PO6 | The Engineer and Society | An ability to apply mathematical foundations, algorithmic principles, and computer science theory in the modelling and design of computer-based systems with necessary constraints and assumptions. |
| PO7 | Environment and Sustainability | An ability to analyze and provide solution for the local and global impact of information technology on individuals, organizations and society. |
| PO8 | Ethics | An ability to understand professional, ethical, legal, security and social issues and responsibilities. |
| PO9 | Individual and TeamWork | An ability to function effectively as an individual or as a team member to accomplish a desired goal(s). |
| PO10 | Communication Skills | An ability to engage in life-long learning and continuing professional development to cope up with fast changes in the technologies/tools with the help of electives, professional organizations and extra- curricular activities. |
| PO11 | Project Management and Finance | An ability to communicate effectively in engineering community at large by means of effective presentations, report writing, paper publications, demonstrations. |
| PO12 | Life-long Learning | An ability to understand engineering, management, financial aspects, performance, optimizations and time complexity necessary for professional practice. |
| PSO No. | Program Specific Outcomes of AIML Engineering |
|---|---|
| PSO 1 | An ability to apply the theoretical concepts and practical knowledge of Artificial Intelligence & Machine Learning in analysis, design, development and management of information processing systems and applications in the interdisciplinary domain. An ability to understand the computational fundamentals and computing resources. |
| PSO 2 | An ability to analyze a problem, and identify and define the computing infrastructure and operations requirements appropriate to its solution. AI & ML graduates should be able to work on large-scale computing systems. |
| PSO 3 | An understanding of professional, business and business processes, ethical, legal, security and social issues and responsibilities. |
| PSO 4 | Practice communication and decision-making skills through the use of appropriate technology and be ready for professional responsibilities. |
This course is for professionals who have heard the buzz around machine learning and want to apply machine learning to data analysis and automation. Whether finance, medicine, engineering, business or other domains, this course will introduce you to problem definition and data preparation in a machine learning project. By the end of the course, you will be able to clearly define a machine learning problem using two approaches. You will learn to survey available data resources and identify potential ML applications. You will learn to take a business need and turn it into a machine learning application. You will prepare data for effective machine learning applications.
Identify innovative research directions in Artificial Intelligence, Machine Learning and Big Data analytics.
Integrating and reasoning with information from disparate data sources.
Designing and implementing distributed systems for information exploitation, collaboration and decision making.
Data-intensive agent-based tools Providing quality education and practical skills to the students and faculty.
Assist in the development of partnerships with Industry regarding Internships, Summer Jobs, Publications and students’ Placements.
Establish, refine and implement strategies to take the idea in to students and faculty fraternity.
Create sustainable funding models for societal and ACE related efforts.
Encouraging students to publish research articles, patents and starting their start-ups in the campus.
1. Artificial Intelligence Lab.
2. Deep learning Lab.
3. Data structures and Algorithms Lab.
4. Robotics Lab.
5. Advanced Machine Learning Lab.
Cognitive Abilities
Database
Hardware
Framework
Application Program Interfaces (APIs)
Speech Recognition
Natural Language Generation
Machine Learning
Deep Learning
Robotic Process Automation
Cyborg Technology
Education
Healthcare
Businesses
Autonomous Vehicles
Finance and Economics
Video Games
Advertising
E-Commerce
Military
Computer Networks etc
Few of the major companies which needs AI & ML Engineers are : IBM, Amazon, Cognizant, Pivotchain Solutions, Airtel, Google, Dell, Tata Health, Honeywell International Inc., Siemens, Xilinx, Uber, Unisys, Tata AIG, Toyota, PTC Software, Acculogix, HCL, Tempus, DataRobot, CloudMinds, Nauto, OpenAI, Sift Science, SoundHound, Vicarious, VideoTap, Zoom etc.
Some of the major job profiles related to AI & ML are: Innovations Engineers, Machine Learning Engineers, Applied AI Engineers, Data Engineers, Text Programmer, Data Science Engineer, Data Scientist, AI ML Engineer, Head (Analytics) e-Commerce, Senior Developer Machine Learning, Data Modeler, Machine Learning Expert, and Artificial Intelligence Expert etc.
ME(Comp), BE(Comp)
MESSAGE FROM HOD DESK
Welcome to the Department of Artificial Intelligence and Machine Learning at ISBM College of Engineering, Nande , Pune.
The department of Artificial Intelligence & Machine Learning (AI & ML) is established in the academic year 2020-2021. This is a 4-year degree course approved by AICTE, New Delhi under Savitribai Phule Pune University (SPPU). The Department has experienced faculty members/staff and the state of art research laboratories. The curriculum of AI & ML is prescribed by SPPU.
Artificial Intelligence and Machine Learning is the most flourishing discipline with advanced learning solutions imparting knowledge of advanced innovations. Artificial intelligence (AI) is the science and engineering of making intelligent machines, including intelligent computer programs. It is related to the concepts of computer science and cognitive science, but it can be considered as an autonomous field because it incorporates elements from all of these areas, plus many more. AI researchers typically try to create machines that are able to perform tasks that require human intelligence, such as visual recognition or natural language processing.
This specialization is designed to enable students to build intelligent machines, software, or applications with a cutting-edge combination of machine learning, analytics and visualization technologies. The main goal of artificial intelligence (AI) and machine learning (ML) is to program computers to use example data or experience to solve a given problem. Many successful applications based on machine learning exist already, including systems that analyze past sales data to predict customer behaviour (financial management), recognize faces or spoken speech, optimize robot behaviour so that a task can be completed using minimum resources, and extract knowledge from bioinformatics data.
The Department emphasizes on all round development of the students, to make them competent engineers. The Department has well qualified and experienced faculty members and technically competent supporting staff. We motivate the students to achieve not only excellence in academics but also on their overall personality development.
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