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Machine Learning & AI - (ML & AI)

Duration

3 Months

Universities

0

Eligibility

10+2

Course Introduction

Machine Learning & AI

Are you considering a career in Machine Learning & Artificial Intelligence? If so, it's worth exploring reputable institutions that offer high-quality training in these fields. One such institution is Collegevihar, well-known for its expertise in Machine Learning & Artificial Intelligence education. They provide comprehensive training programs that empower students to become industry professionals. At Collegevihar, you can expect to receive training that adheres to industry standards, significantly increasing your prospects of securing your dream job with leading companies. Their courses cover both fundamental and advanced aspects of Machine Learning & Artificial Intelligence, ensuring a well-rounded education. Moreover, the institute emphasizes hands-on practical experience and offers robust job placement assistance to support you on your career path. Collegevihar has built a strong reputation in the Machine Learning & Artificial Intelligence domain, equipping students with the essential skills and knowledge needed to excel in the Online Machine Learning & Artificial Intelligence field.

Course Overview

Machine Learning (ML) and Artificial Intelligence (AI) are computer technologies that help machines learn from data and make smart decisions like humans. ML teaches computers to find patterns in data and make predictions, while AI aims to make computers act intelligently by simulating human thinking. They're used in things like self-driving cars, voice assistants, and even recommendation systems on websites like Netflix. ML and AI are making our machines smarter and more helpful, making our lives easier and more exciting.

Course Eligibility

To enroll in the Machine Learning (ML) & Artificial Intelligence (AI)t, candidates need to: Basic understanding of computer language concepts. No previous experience is required, but it's recommended. Access to a computer with a reliable internet connection for online classes.

Universities

Admission Process

There is an online admissions process available at Online Machine Learning & AI, therefore there is no need to physically visit the campus to apply for admission. There is no entrance exam required to apply for admission to Machine Learning & AI Online because admissions are made directly. The following describes the Machine Learning & AI's admissions process for online courses:

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Make your college application faster by sending your documents and paying the registeration fees.

Upon acceptance, pay fees to secure your seat and finalize enrollment

Confirm your class date, seat, enrollment number and get your gift as reward points

Course Subjects

  • #Introduction to Machine Learning
  • #Data Preprocessing
  • #Supervised Learning
  • #Unsupervised Learning
  • #Neural Networks and Deep Learning
  • #Natural Language Processing (NLP)
  • #Computer Vision
  • #Reinforcement Learning
  • #AI Ethics and Bias
  • #AI Tools and Frameworks

Machine Learning & AI's Highlights

1
Comprehensive Machine Learning Knowledge

A deep understanding of machine learning algorithms, techniques, and their applications.

2
Hands-On Projects

Practical experience through projects that apply ML and AI concepts to real-world problems.

3
Deep Learning Expertise

Proficiency in neural networks and deep learning for advanced AI tasks.

4
Natural Language Processing Skills

Ability to work with and analyze text data using NLP techniques.

5
AI Ethics and Responsible AI

Awareness of ethical considerations and responsible AI development practices, including bias mitigation and fairness.

Machine Learning & AI's Freights

course fee is INR 45,000

Machine Learning & AI's Specialization

N/A

  • #Experience a Free Live Demo
  • #Engage in a Hands-on Full Stack Course with Demonstrative Projects
  • #Learn from Real-Time Experts who are your Trainers
  • #Receive Personalized Training through One-to-One & Classroom Sessions
  • #Achieve a 100% Track Record of Successful Course Completions
  • #Benefit from 100% Support for Job Placement
  • #Access 24 x 7 Support for Your Queries
  • #Obtain Certification upon Successfully Completing the Course

Course Job

Machine Learning (ML) and Artificial Intelligence (AI) professionals develop algorithms, analyze data, and create models to solve complex problems. They clean and preprocess data, choose suitable algorithms, train models, and optimize them for accuracy. They also deploy AI systems, monitor performance, and stay updated on the latest advancements to drive innovation.

Course Types

online mode

Online Machine Learning & Artificial Intelligence (AI) refers to the study and practice of machine learning and AI concepts, algorithms, and techniques using internet-based resources and courses. It covers topics like data analysis, neural networks, deep learning, and natural language processing to enable the development of AI systems and intelligent algorithms through online education and tools.

Why this Course ?

Frequently Asked Questions

A: You can pay for Machine Learning & Artificial Intelligence through various methods, including online courses, certifications, cloud computing services, and hiring experts or teams for development and implementation. Costs vary based on your specific needs and resources.

A: Yes, pursuing a career in Machine Learning & Artificial Intelligence can be a smart move due to high demand, competitive salaries, and opportunities to solve complex problems across various industries, but it requires continuous learning and adaptability.

A: Salaries for Machine Learning and Artificial Intelligence professionals in India can vary widely based on experience and location. Entry-level roles may start at around 5-10 lakhs per annum, while experienced experts can earn upwards of 20 lakhs or more annually.

A: Job placement support involves assisting job seekers in finding employment. Services may include resume writing, interview coaching, job matching, and career counseling. Support may come from government agencies, educational institutions, or private companies to enhance job prospects.

A: Machine learning and artificial intelligence can be implemented both online and offline, but many practical applications rely on online access to data and cloud-based services for real-time processing and updates.