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Online and Distance BCA in Artificial Intelligence (AI) and Machine Learning (ML)

Online and Distance BCA in Artificial Intelligence (AI) and Machine Learning (ML)

To help students better understand the composite concepts covered in an Artificial Intelligence (AI) course, schools typically give them a combination of symbolic and classical approaches. About re-creating and improving technology, several coding languages and philosophies are taught. Additionally, the coursework for an academic program in AI is a perfect synthesis of different Computer Science and Machine Learning (ML) components. Examine every bit of information about the online and distance BCA in Artificial Intelligence (AI) and Machine Learning (ML) course.

Why Choose AI and Machine Learning?

Natural language processing, Machine Learning, Python, and other similar coding languages and related areas must all be thoroughly understood to grasp Artificial Intelligence (AI). There are several Artificial Intelligence (AI)courses available, including BTech Artificial Intelligence and BTech in Computer Science-Artificial Intelligence & Machine Learning. Artificial Intelligence (AI) offers a rewarding professional path for those enrolling in these courses. Students who can be patient and appreciate problem-solving should take the Artificial Intelligence (AI) course. Students must have patience as this field is still evolving, and breakthroughs are uncommon. Having a solid grasp of mathematics is required for this course. Students that are strong in math should study Artificial Intelligence.

Demand for Artificial Intelligence (AI) and Machine Learning

The most sought-after skills in the world are Artificial Intelligence (AI) and Machine Learning (ML). Employers are clamouring to recruit AI and ML, but why is that? A few crucial causes include:

  • To begin with, AI and ML are adaptable. Finance to Healthcare is just a few sectors where it can be applied.
  • The second is that AI and ML are constantly changing. Artificial Intelligence (AI) always finds new uses for itself and opportunities.
  • Third, the cost of AI and ML is decreasing. Businesses of all stripes are embracing AI technology thanks to Cloud Computing and open-source AI software growth.

Admission Procedure

Students in India can choose from various AI and ML courses, ranging from certificate programs to diploma, bachelors and master's degrees. Each class will have a different set of requirements for admission. But obtaining a higher secondary diploma from a reputable board is the standard requirement for enrolling in a BCA in Artificial Intelligence (AI) and Machine Learning (ML) course in India.

Eligibility

10+2 Pass Out

Duration

Min 3 – Max 6 years

Approvals

UGC | DEB | NAAC

Procedure to Take Admission in the Distance BCA in AI and Machine Learning

Online and distance MBA in General Registration processOnline and distance MBA in General Registration process

How to Choose the Right University?

Once you've made your decision, Artificial Intelligence (AI) and Machine Learning (ML) are fantastic choices. It's critical to select the right college. Please examine these recommendations to guarantee that you attend the best school available.

consult the university rankings
check the course content
Look at your requirements and fee's structure

Artificial Intelligence (AI) Course Syllabus for the Bachelor's Degree

You can pursue a Bachelor's degree in either a 6-semester course in Computer Science or an 8-semester practice in Engineering or Technology with a focus on Artificial Intelligence (AI).

  • Semester 1
  • Object Oriented Programming With C++
  • English Language and Communication Skills
  • Data Structures and Algorithms
  • Discrete Mathematics
  • Environmental Studies
  • Semester 2
  • soft Skills
  • Programming in JAVA
  • Basic Internet Laboratory
  • Applied Mathematics
  • Human Resources and Rights
  • Semester 3
  • Programming in Python
  • Fuzzy Logic and Neural Networks
  • Design and Analysis of Algorithms
  • Introduction to Internet of Things
  • Language Elective
  • Semester 4
  • A1 and Knowledge Representation
  • Introduction to Machine Learning
  • Programming in R
  • Skill Based Project Work
  • Major Elective
  • Semester 5
  • Machine Learning Techniques
  • Ethical Hacking
  • Deep Learning
  • Data Analytics Techniques
  • Semester 6
  • Embedded Systems
  • Natural Language Processing
  • Artificial Neural Networks
  • Machine Learning Live Project

Career Opportunities

Data Scientist

Machine Learning Engineer

Research Scientist

AI Data Analyst

Big Data Engineering

Robotics Scientist

AI Engineer

Business Intelligence Developer

NLP Engineer

Human Computer Interaction, Pattern Recognition, and Augmented Reality are possible electives if you're enrolled in an eight-semester programme.

1. Foundation
• Python for A1 & ML
• Applied Statistics
2. Machine Learning
• Supervised Learning
• Unsupervised Learning
• Ensemble Techniques
• Featurization, Model Selection & Tuning
• Recommendation Systems
• ------
3. Artifical Intelligence
• Introduction to Neural Networks and Deep Learning
• Computer Vision
• Natural Language Processing
• -----
4. Additional Modules
• EDA
• Time Series Forecasting
• Pre Work for Deep Learning
• Model Deployment
• Visualization using Tensor board
• GANs (Generative Adversarial Networks)
• Reinforcement Learning
• -----

Artificial Intelligence and Machine Learning FAQ

Among the most popular specialities in Artificial Intelligence (AI) are Machine Learning, Deep Learning, Python, Data Analysis, Language Processing, and other fields.

AI and ML have become a significant part of our life, from automated driving to computerized virtual assistants. If you're interested, enrol in an introductory Artificial Intelligence course online to get a good sense of what it's all about.

Yes. Online Artificial Intelligence (AI) and Machine Learning (ML) courses of the highest calibre are available from numerous institutions. AI and ML can be studied at home.

Yes. Programming languages like C++, Java, Python, LISP, and Prolog will be necessary for you to be prepared. To create AI algorithms, you should also be able to perform specific mathematical operations.

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