BE AI and Machine Learning course at Akash Institute of Engineering and Technology

Akash Institute of Engineering and Technology

Machine learning (ML) and artificial intelligence (AI) are arguably some of the revolutionary technologies that human beings can utilize today. This revolutionary branch can entirely transform most industries and companies, so it is necessary that all people familiarize themselves with the basics of this fast-growing science and measure the outlook in terms of their career and business opportunities.

The effect of artificial intelligence is turning out to be sweeter than the introduction of the personal computer and the diffusion of mobile phones all at once. Instead of trying to incorporate within computers all of the knowledge that they will require up-front, artificial intelligence experts help computers learn based on what they are exposed to, developing adaptable and intelligent systems that can adapt to the requirements of emergent circumstances.

Technological advances have enabled machines to run the whole world, and engineers are able to develop machines that learn on their own. And that is what machine learning is all about: creating models and algorithms to make painfully complex predictions, but having computers make such predictions with no specific instruction on the particular computation.

Course Duration

The BE Artificial Intelligence and Machine Learning program is a comprehensive four-year undergraduate degree that spans eight semesters. The long period of time gives the students time to grasp a profound knowledge about the foundational concepts and slowly move through advanced principles and focal applications.

The course structure maintains an optimum proportion of theoretical course material, laboratory work, and project work, which has to address the required scope of skills development. Its four-year length gives the student in-depth knowledge in both artificial intelligence and machine learning disciplines, as well as building on the mathematical and programming basics of successful participation in this field.

Eligibility

Students seeking admission to the BE Artificial Intelligence and Machine Learning course at Akash Institute of Engineering and Technology must meet specific academic requirements to ensure they have the necessary foundation for success in this technically demanding field.

Academic Requirements:

Students must have successfully completed their Pre-University Course (PUC) or Class 12th from a recognized educational board

A minimum aggregate of 50% is required in the Science stream subjects, specifically in Physics, Chemistry, and Mathematics

Students must have achieved a minimum aggregate of 45% in English

The combination of Physics, Chemistry, and Mathematics is mandatory for eligibility

Admission Procedure

The admission process at Akash Institute of Engineering and Technology has been streamlined to ensure transparency, fairness, and accessibility for all prospective students. In the aforementioned process of admission, we will thoroughly identify individuals who show a high level of academic achievement and an interest in artificial intelligence and machine learning.

Initial login to the official admission portal

Accurate completion of all required details in the application form

Submission of the completed application form with necessary documentation

Participation in the selection process if shortlisted

Why Choose Akash Institute
of Engineering and Technology?

Selecting the right institution for your BE Artificial Intelligence and Machine Learning education is a crucial decision that will shape your entire career trajectory. Akash Institute of Engineering and Technology stands out among the Best BE Artificial Intelligence and Machine Learning Colleges in Bangalore for numerous compelling reasons that make it the ideal choice for aspiring AI and ML professionals.

Expert Faculty with Industry Experience

The institution has a group of accomplished professionals with a wealth of experience in the field of artificial intelligence and machine learning who actually translate their work-related experience into the classroom. These professors and lecturers have experience with groundbreaking work in major technology corporations and research facilities, and therefore, they can offer students material that extends well beyond the comprehension you will ever get with a textbook.

State-of-the-Art Infrastructure & Learning Environment

Akash Institute of Engineering and Technology is equipped with cutting-edge facilities that create an optimal learning environment for students pursuing advanced technology education. Modern laboratories of our organization are equipped with the latest hardware and software products involved in developing artificial intelligence and machine learning. HPC resources, high-performance AI/ML software, and networking facilities guarantee that students can gain access to the same tools that they would access in their careers.

Comprehensive Industry Exposure & Practical Learning

The AI and Machine Learning department at Akash Institute of Engineering and Technology provides students with extensive exposure to various enterprises through carefully planned industrial visits, participation in national and international conferences, specialized workshops, and diverse extracurricular activities. This integrated process enables the much-needed union between academic and real-world learning, thus making sure that our graduates are instantly productive in the field of their career choice.

Strong Academic Credentials & Recognition

Akash Institute of Engineering and Technology maintains its position among the top BE Artificial Intelligence and Machine Learning Colleges in Bangalore through its affiliation with Visvesvaraya Technological University and accreditation by the Karnataka Government. The fact that the All India Council for Technical Education (AICTE) has approved the institute guarantees that we offer programs that undergo stringent technical education requirements at the national level.

Balanced Curriculum Emphasizing Theory & Practice

Our BE Artificial Intelligence and Machine Learning course offers a comprehensive curriculum that expertly balances theoretical knowledge with practical application. The course includes everything regarding AI and ML, both in terms of hardware and software, and the graduates can feel confident in knowing the entire field. Students will acquire an excellent base in mathematics and science as they acquire firsthand experience in programming, algorithm design, and system implementation.

Excellent Placement Support & Career Services

Akash Institute of Engineering and Technology provides comprehensive placement support and career services to ensure that our graduates successfully transition into rewarding professional careers. Our committed cell of placement has close ties with Top Technology firms, entrepreneurship and research agencies. We offer career advice, interview training, resume building support, and networking facilities, and these facilities make students get employed as the best employees.

Job Roles

Graduates of the BE Artificial Intelligence and Machine Learning course from Akash Institute of Engineering and Technology are prepared for a wide variety of exciting and well-compensated career paths. The broad nature of education offered in our program is meant to make the students grow into highly competent employees, who are able to perform effectively in various professional occupations.

Data Scientist

AI Engineer

Machine Learning Engineer

Business Intelligence Developer

Research Scientist

Big Data Engineer/Architect

Database Engineer

Software Engineer

Quantitative Analyst

Placements

Akash Institute of Engineering and Technology has established an outstanding track record of placement success for graduates of the BE Artificial Intelligence and Machine Learning course. Our placement cell is diligently demonstrating its efforts to see that the students successfully graduate in theory academic life to rewarding professional life by working in mainstream organizations and different industries.

BE Computer Science & Engineering (Artificial Intelligence & Machine Learning) course has a great job opportunity in the various fields. Our graduates are highly sought after by employers who recognize the quality of education and practical training provided by Akash Institute of Engineering and Technology. The adequate theoretical basis, practical work and interaction with the industry guarantee that our students become productive in their professional role immediately.

The beginning of the careers of graduates normally starts at the entry level as Artificial Intelligence Engineer, Machine Learning Engineer, or Data Scientist. They get wonderful career advancement opportunities as they grow in experience and skills. Our alumni have in a short period after graduation (not more than a few years) risen to become team leaders, project managers, and advanced technical experts.

Top Recruiters

Career Scope

The career landscape for graduates of the BE Artificial Intelligence and Machine Learning course is exceptionally diverse and rapidly expanding. With the further evolution of the AI and ML technologies that are changing industries globally, the became professionals in this sphere have practically unlimited prospects of professional development, innovation, and application in various industry branches.

Artificial intelligence/ machine learning specialists may operate in all fields of industry, such as banking and financial services, healthcare and biotechnology, automotive and transportation, retail and e-commerce, telecommunications, manufacturing and automation, entertainment and media, government and public services and newer technology startups. This flexibility means that the graduates are free to choose the desired careers that match with their personal interests and values within sectors that are willing to uptake them.

Artificial intelligence and machine learning are among high paying fields with professionals offering some of the most substantial initial salaries in the technology world. The starting pay is normally accompanied by attractive job benefits that are well above average in the industry. The earning capacity of any professional rises significantly when professionals become skilled in a specialization and they acquire experience. Compensation packages to senior AI and ML professionals are usually a combination of big base salaries along with performance bonuses, stock options and other financial benefits.

Prestigious Collaborations

AGI’s journey to excellence is fortified by prestigious affiliations and top-tier accreditations that validate our commitment to world-class standards. These distinguished recognitions not only endorse our quality but also amplify our impact across education and healthcare, positioning AGI as a leader in shaping future-ready professionals.

Placement Cell

At Akash, we have an in-house dedicated Placement Cell committed to uncovering your individual strengths and passions through meaningful consultations and insights from esteemed academicians. We believe in the power of experiential learning, which is why we facilitate real-time internships and projects with industry experts. From the moment you join us, we provide comprehensive placement orientation and essential tips to enhance your CV across all disciplines, marking the beginning of our holistic approach to career development.

fAQ’S

Can AI lead to job displacement?

Yes, with the help of the AI, jobs can be displaced and automated. As an illustration, repetitive administrative tasks, data entry, and analysis of data can be performed more effectively by the systems based on AI than on humans. This may lead to less demand in some of the positions. Nonetheless, AI brings some new possibilities as well, and it can complement human labor taking mundane duties off of their plates and leaving them to more challenging and imaginative elements of their employment.

What are the things Artificial Intelligence can do better than humans?

Artificial Intelligence stands out in various fields such as data analysis where AI is able to analyze huge data much quicker than human and pinpoint trends or abnormalities which may easily be overlooked. Routine activities, like data entry or scheduling, pose no challenge to the AI system since it can continue to carry out such activities with upmost accuracy in repetitive tasks. AI also shows a better accuracy and consistency level on such areas as manufacturing or surgery with higher accuracy rates compared to human operator.

What is Data-Centric AI?

Data-Centric AI does not emphasize solely on the creation of models or algorithms; instead, it operates on how to enhance the quality and management of data. This strategy entails the implementation of data quality by the process of ensuring that data is correct, is complete and is representative of the domain of the problem. It has proper data annotation and labeling and trains the machine learning models appropriately. Data augmentation deals with creating new data points to improve model performance and data management stores information forms more accessible on what is considered favourable and usable.

What is Machine Learning?

Machine Learning (ML) is a branch of artificial intelligence where an algorithm is trained to accept and learn on the basis of input data and draw predictions or decisions. Machine learning in contrast to traditional programming, does not require a programmer to write specific codes that perform specific tasks as each task may require specific instructions. It allows systems to automatically increase their performance through the experience without explicitly telling a system how to perform any particular task.

What eligibility is required for Artificial Intelligence and Machine Learning careers?

A degree in computer science, data science, statistics, engineering or other related fields are normally helpful with advanced degrees (Master of Science or Doctoral degree) being helpful in research roles. Good background in mathematics, such as linear algebra, calculus, and statistics is required. It is important to be good at programming languages like Python, R, or Java. Real life experience in the form of projects, internships or work experience in any field relevant to the field of study will greatly improve career opportunities.

Does coding require Artificial Intelligence and Machine Learning?

It is true, coding is needed to work in AI and ML. Algorithms are implemented, and a specific code is written through programming in machine learning models. It is required to process data, prepare and preprocess data, analyse and train. Model building, developing, generating, testing, and optimizing machine learning models and algorithms also requires coding. A large part of AI and ML activity entails heavy programming in various languages and on a variety of platforms.

What is the difference between Artificial Intelligence and Machine Learning?

Artificial Intelligence (AI) is a wide subject that tries to build systems that can do things that otherwise could have required human intelligence i.e. reasoning, learning and solving problems. A branch of AI that deals specifically with the creation of algorithms that learn as opposed to being coded to perform a particular task is known as Machine Learning (ML). All in all, ML is only one of the ways to reach AI, whereas AI can also include a large number of other methods and methodologies.

Does machine learning involve software engineering work?

Software engineering tasks (construction and maintenance of the infrastructure required by machine learning models) can become a part of machine learning. Nevertheless, dedicated positions that are aimed at creating and improving ML models are label as a machine learning engineer or a data scientist. This field brings together the knowledge of software engineering, mathematics, and domain specific knowledge to develop useful AI solutions.

How would you design a curriculum for a machine learning beginner?

The overall course aimed at beginners must begin by introducing the concept of machine learning, terminology, as well as the different types of machine learning, i.e., supervised, unsupervised, and reinforcement learning. Important mathematical backgrounds are necessary, such as linear algebra, calculus, probability, and statistics. The basics of programming are concentrated on Python, NumPy, pandas, and Matplotlib libraries. Examples of data preparation techniques include cleaning, normalization, and feature engineering. Algorithms provided with Core ML can be regression, classification, clustering, and dimensionality reduction.

What is the definition of Data Science?

Data science is a cross-disciplinary field incorporating scientific disciplines, processes, algorithms, and systems to elicit knowledge and information on both structured and unstructured data. It makes use of parts of statistics, computer science, and domain knowledge to analyze and interpret sophisticated datasets. Data scientists apply a wide range of mathematical, statistical, and computer science techniques to gain insight into and analyze real-world phenomena, using data.

How do Data Scientists perform model selection? Is it different from Kaggle?

Model selection is carried out by data scientists using cross-validation methods such as k-fold cross-validation, which can be used to objectively test the performance of the model. They conduct hyperparameter tuning to adjust model parameters to get a more accurate and better performance. Depending on the problem and business-based requirements, appropriate metrics are chosen to test model performance. In Kaggle competitions, model selection tends to include more experiments, feature engineering, and ensembles to yield the best performance.

LEARN, GROW, THRIVE