AI and ML Course: Admissions 2024, Entrance Exams, Top Colleges, Fees, Syllabus, Career Scope

AI and ML courses teach students how computers can think and learn from data. These courses combine ideas from computer science, statistics, and math to help students understand how machines learn. Students start by learning basic math skills like linear algebra, calculus, and probability, which will help them understand how AI systems work. 

Those who enrol in Artificial Intelligence and Machine Learning courses will learn about technical tools and methods like gradient descent optimization, kernel methods, ensemble learning, and deep neural networks. The courses show them how to build different types of AI systems, from simple ones like support vector machines and decision trees to complex ones like convolutional neural networks. Students get hands-on practice using popular tools that professionals use, like PyTorch and TensorFlow. They also learn how to prepare data, create useful features, and check how well AI models are working. 

As they advance, students study reinforcement learning, Bayesian inference, GANs and attention mechanisms that help AI understand context, like chatbots. Through math exercises and coding projects, students learn how to build AI systems that work well with large amounts of data, understand how much computing power they need, and make smart choices about how to design their AI models.

Top institutions offering Artificial Intelligence and Machine Learning courses include the Indian Institutes of Technology (IITs), Indian Institute of Science (IISc) Bagalore, International Institute of Information Technology (IIIT) Hyderabad, and Indian Institutes of Management (IIMs) like Bangalore and Calcutta. For those who want to get a certification, options include the globally recognized Stanford Online Machine Learning Specialization, IIT Kanpur's Executive Program in AI & ML, or NIIT's industry-oriented Certification in Artificial Intelligence and Machine Learning.

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Artificial Intelligence and Machine Learning Course Details: Highlights

This table provides a summary of the Machine Learning and AI courses, along with their admission and job-related information:

Particulars	Details
Name of Course	Artificial Intelligence and Machine Learning
Course Level	UG, PG, Diploma, PG Diploma, Certificate
Course Duration	UG: 3-4 years PG: 11 months - 2 years Certificate: 1 month - 11 months Diploma: 6 months - 3 years
Eligibility	UG: 10+2 with a science background PG: Bachelor's degree in engineering (Computer Science, IT, AI, ML), Mathematics, Statistics, or similar fields Certificate or Diploma: A strong foundation in science, technology, engineering, and mathematics (STEM)
Entrance Exams	JEE Main, MHT CET, KEAM, CUET
Main Subjects	Machine Learning Fundamentals, Deep Learning and Neural Networks, Natural Language Processing, Statistical Methods and Mathematics, Applied AI and Practical Implementation
Average Salary	₹ 3.5 Lakhs - ₹ 24.0 Lakhs
Job Positions	Machine Learning Engineer, Data Scientist, AI Research Scientist, NLP Engineer
Top Recruiters	Quantiphi, Amazon, Tata Consultancy Services, Accenture, Google, PHN Technology, Dropbox, OpenAI, etc.
Top Indian Colleges	IITs, IISC, IIM, DTU, Jamia Milia

Note- This information is sourced from the official website and may vary.

Quick links for Machine Intelligence Courses:

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NTA has announced the JEE Main 2024 Session 2 Result. The JEE Main official website to check results is jeemain.nta.ac.in. Candidates can use their application number and date of birth to check the JEE MAIN 2024 Session 2 result.

IIT Fees Structure for BTech Courses

What is Artificial Intelligence and Machine Learning Course?

Machine Learning and AI courses entail cutting-edge technologies that deal with the development of intelligent systems capable of learning and performing tasks without explicit programming. In India, there are several courses available for AI and ML education. The amazing fact of AI and ML lies in its diverse applications. Here are some exciting tracks to consider:

• Computer Vision: Train machines to "see" and interpret the visual world, enabling applications like facial recognition, self-driving cars, and medical image analysis.
• Natural Language Processing (NLP): Equip machines to understand and manipulate human language, leading to advancements in chatbots, machine translation, and sentiment analysis.
• Robotics: Combine AI and ML with mechanical engineering to create intelligent robots that can interact with the physical world, performing tasks in manufacturing, healthcare, and exploration.
• Data Science: This broader field encompasses AI and ML, focusing on collecting, cleaning, analyzing, and interpreting vast amounts of data to extract valuable insights.

Machine Learning and AI Course Relevant Information:

Difference Between AI and ML

What is the scope of Artificial Intelligence and Machine Learning?

The world of Machine Learning and AI is rapidly evolving, and India is at the forefront of this exciting revolution. Here's a glimpse into the vast scope of Machine Learning and AI careers:

• Transforming Industries: AI and ML are revolutionizing various sectors like healthcare, finance, e-commerce, agriculture, and manufacturing. This creates a vast scope for applying these technologies and developing innovative solutions.

• Surging Demand for Professionals: The demand for AI and ML professionals is rapidly growing across industries. This translates to ample job opportunities for skilled individuals.

• Specialization Options: The field offers diverse specializations like computer vision, natural language processing, and robotics, allowing you to tailor your expertise to specific areas.

• Continuous Evolution: AI and ML are constantly evolving fields. This scope extends to ongoing research and development, ensuring a dynamic and intellectually stimulating career path.

• Global Recognition: Expertise in AI and ML is valued globally, opening doors to international career opportunities.

• Government Support: The Indian government actively promotes AI research and development initiatives, creating a supportive environment for growth.

• Upskilling Opportunities: With the increasing demand for AI skills, numerous training programs and educational courses are available to help individuals upskill or transition into this field.

Machine Learning and AI Course Relevant Information:

Artificial Intelligence and Machine Learning –Similarities, and Application

Who can pursue Artificial Intelligence and Machine Learning?

Artificial Intelligence (AI) and Machine Learning (ML) are exciting fields open to a wider range of individuals. Here's a breakdown of who can pursue Machine Intelligence courses:

Educational Background:

• Strong Foundation in STEM: A solid foundation in science, technology, engineering, and mathematics (STEM) is highly recommended.
  • Undergraduate Level: Ideally, a Bachelor's degree in a relevant field like computer science, mathematics, statistics, physics, or engineering would be beneficial. Some institutions might consider science backgrounds (physics, chemistry, mathematics) for specific programs.
  • Postgraduate Level: For postgraduate programs, a Bachelor's degree in computer science, mathematics, statistics, or engineering is typically required.

Prior Experience (advantageous, but not mandatory):

• Programming Expertise: Prior experience in programming languages like Python, R, Java, or C++ is a significant advantage. These languages are commonly used in AI and Machine Learning development.
• Data Analysis Skills: Familiarity with data analysis concepts and tools like SQL can be helpful, as AI and Machine Learning often involves working with large datasets.

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Why Enrol in Artificial Intelligence and Machine Learning Courses?

Students should enrol in AI & ML courses for the following reasons:

Technical Knowledge and Skills

• AI & ML courses teach students to master fundamental algorithms including linear regression, decision trees, random forests, and neural networks with hands-on implementation.
• These courses provide extensive training in essential programming tools like Python, PyTorch, TensorFlow, and scikit-learn.
• Artificial Intelligence and Machine Learning courses include practical sessions on processing and analyzing large datasets using techniques like feature engineering, data cleaning, and dimensionality reduction.
• These courses offer deep expertise in advanced architectures including CNNs for computer vision and RNNs for sequential data.

Practical Applications

• AI & ML courses involve building real-world projects including recommendation systems, image classification models, and natural language processors.
• These courses teach students to optimize model performance through hyperparameter tuning and cross-validation techniques.
• Artificial Intelligence and Machine Learning courses provide hands-on experience in deploying ML models using tools like Docker and MLflow.
• These courses demonstrate how to integrate AI systems with existing software infrastructure.

Career Opportunities

• AI & ML courses prepare students for high-demand fields like Data Science, ML Engineering, and AI Research.
• These courses equip students with skills for roles offering average salaries from ₹ 3.5 Lakhs to ₹ 24.0 Lakhs for AI-ML engineers in India (source: AmbitionBox).
• Artificial Intelligence and Machine Learning courses open doors to work across diverse sectors including healthcare, finance, autonomous vehicles, and robotics.
• These courses develop versatile skills applicable to both large tech companies and AI-focused startups.

Research and Innovation

• AI & ML courses cover cutting-edge developments in areas like transformer models and reinforcement learning.
• These courses build the foundation needed to contribute to AI research and development.
• Artificial Intelligence and Machine Learning courses teach students to read and implement ideas from academic papers and research publications.
• These courses prepare students to participate in AI competitions and research projects.

Problem-Solving Capabilities

• AI & ML courses develop systematic approaches to breaking down complex problems.
• These courses teach strategic selection of appropriate algorithms and architectures for specific challenges.
• Artificial Intelligence and Machine Learning courses focus on model evaluation and performance optimization.
• These courses help understand trade-offs between different ML approaches and their appropriate applications.

Industry-Relevant Skills

• AI & ML courses provide experience with industry-standard development workflows and best practices.
• These courses address real-world challenges in scalability, efficiency, and production deployment.
• Artificial Intelligence and Machine Learning courses cover AI ethics, bias detection, and responsible AI development.
• These courses teach collaborative ML project development using version control and documentation.

Long-term Career Growth

• AI & ML courses provide foundational knowledge that adapts to emerging AI technologies.
• These courses develop skills that become more valuable as AI adoption increases across industries.
• Artificial Intelligence and Machine Learning courses prepare students for specialized roles like AI product management or AI ethics.
• These courses help in understanding AI limitations and potential, crucial for future technology leaders.

Top Artificial Intelligence and Machine Learning Entrance Exams 2024

Many universities and institutes providing AI and Machine Learning programs conduct their own entrance exams. These exams might focus on assessing your knowledge of mathematics, statistics, programming, and basic AI and Machine Learning concepts. While JEE Main 2024 is primarily for undergraduate engineering programs, some institutes might consider JEE Main 2024 scores along with additional tests or interviews for their AI and Machine Learning programs. 

The Indian Statistical Institute (ISI) Admission Test is conducted by the Indian Statistical Institute (ISI) for admission to various postgraduate programs, including courses like statistics, quantitative economics, and computer science - which have a strong focus on AI and Machine Learning. Below are some common AI & ML entrance exams:

Exam	Exam Dates	Exam Schedule
JEE Main	JEE Main 2024 Exam Date Session 1- 24 Jan '24 - 1 Feb '24 JEE Main 2024 Exam Date Session 2- 4 Apr '24 - 15 Apr '24	JEE Main Schedule
JEE Advanced	26 May'24	JEE Advanced Schedule
MHT CET	MHT CET 2024 Exam for PCB Group- 22 Apr '24 - 30 Apr '24 MHT CET 2024 Exam for PCM Group- 02 May '24 - 17 May '24	MHTCET Schedule
CUET	15 May '24 - 31 May '24	CUET Schedule
TS EAMCET	09 May '24 - 11 May '24	TS EAMCET Schedule
BITSAT	BITSAT 2024 Exam Date (Session I)- 20 May '24 - 24 May '24 BITSAT 2024 Exam Date (Session II)- 22 Jun '24 - 26 Jun '24	BITSAT Schedule
COMEDK UGET	12 May '24	COMEDK UGET Schedule
KCET	18 Apr '24 - 19 Apr '24	KCET Schedule
KEAM	5 June '24 - 9 June '24	KEAM Schedule
WBJEE	28 Apr '24	WBJEE Schedule
VITEEE	19 Apr '24 - 30 Apr '24	VITEEE Schedule

Note- This information is sourced from the official website of the institute/exam.

Artificial Intelligence and Machine Learning  Course Syllabus

Check BTech in Artificial Intelligence and Machine Learning syllabus in the table below:

Semester-1	Semester-2
Mathematics I	Mathematics II
Physics	Basic Electronics Engineering
Physics Lab	Basic Electronics Engineering Lab
Programming in C Language	Data Structures with C
Semester-3	Semester-4
Computer System Architecture	Operating Systems
Design and Analysis of Algorithms	Data Communication and Computer Networks
Design and Analysis of Algorithms Lab	Data Communication and Computer Networks Lab
Web Technologies	Introduction to Java and OOPS
Semester-5	Semester-6
Formal Languages & Automata Theory	Reasoning, Problem Solving and Robotics
Mobile Application Development	Introduction to Machine Learning
Mobile Application Development Lab	Introduction to Machine Learning
Algorithms for Intelligent Systems	Natural Language Processing
Semester-7	Semester-8
Program elective	Major Projects 2
Web Technologies	Program Elective-5
Major Project- 1	Program Elective-6
Comprehensive Examination	Open Elective - 4

Note- This information is sourced from multiple sources on the web. Hence, is subject to vary.

Top Artificial Intelligence and Machine Learning Colleges

Owing to huge demand and boom in AI & ML domain, many reputed colleges including IITs, NITs, VIT Vellore, etc. have started offering AI & ML courses in full-time and part-time courses. These courses are provided either at diploma, certificate or UG levels. Please go through the given list of IITs, government and private institutes offering AI & ML courses and delineate their prominent features including course fee details.  

Top IITs Offering Artificial Intelligence and Machine Learning Courses

IIT Roorkee offers a Master's program in AI and ML, as well as an online Advanced Certificate Program in Data Science and AI. Moreover, below given are just a few of the top IITs offering AI and ML courses. With the growing demand for AI and ML skills, more and more universities are starting to offer courses in this field.

AI & ML in IITs	Tuition Fees
IIT Roorkee	INR 8 L
IIT Guwahati	NA
IIT Ropar	INR 8 L
IIT Gandhinagar	INR 8 L
IIT Jodhpur	INR 8 L
IIT Patna	INR 8 L
IIT Bhilai	INR 9 L
IIT Hyderabad	INR 8 L

Note- This information is sourced from the official website/ counselling body and may vary.

Top Artificial Intelligence and Machine Learning Other Government Colleges

Besides the prestigious IITs, several other government colleges in India offer top-notch Artificial Intelligence and Machine Learning Courses. Here are a few well-regarded options:

Top AI & ML Government Colleges	Tuition Fees
GJUST	INR 2.44 L
IPU	INR 4.64 L
NSUT	INR 3.54 L
UIET Rohtak	INR 2.2 L
CIT Coimbatore	INR 1.04 L

Note- This information is sourced from the official website/ counselling body and may vary.

Top Artificial Intelligence and Machine Learning Private Colleges

There are several top private colleges in India that offer courses in Artificial Intelligence (AI) and Machine Learning (ML). These colleges are known for their excellent faculty, infrastructure, and industry collaborations.

Moreover, Some private universities might offer scholarships or financial aid specifically for AI and ML programs.

Top AI & ML Private Colleges	Tuition Fees
Kamla Institute of Technology and Science	INR 3.6 L
Sri Sairam Engineering College	INR 2 L
MCKV Institute of Engineering	INR 3.65 L
KL University, Hyderabad	INR 7.65 L - 10.6 L
Guru Nanak University	INR 7.2 L
Karunya University	INR 8.74 L - 11.74 L
MVSR Engineering College	INR 5.2 L
Sri Venkateswara College	INR 2.11 L
Sree Dattha Group of Educational Institutions	INR 2.8 L
Dayananda Sagar University	INR 17.08 L

Note- This information is sourced from the official website/ counselling body and may vary.

AI ML Courses Relevant Information:

Best Resources to Learn Artificial Intelligence in 2024

Artificial Intelligence and Machine Learning Careers, Scope, Job Profiles, and Required Skills

AI & ML is transforming numerous sectors – healthcare, finance, e-commerce, agriculture, manufacturing, and more – creating a massive demand for skilled professionals. Salaries of AI & ML professional can vary depending on experience, location, skillset, and the specific role. However, it's generally a well-paying field, with some senior positions reaching 20+ Lakhs Per Annum (LPA).

Furthermore, several government and private initiatives offer AI and ML training programs, making this field accessible to aspiring professionals. The rise of EdTech startups provides flexible and online learning opportunities, while some platforms even offer AI and Machine Learning courses in Hindi and other regional languages, promoting inclusivity. The applications of AI and ML span diverse sectors such as healthcare, finance, and agriculture, leading to a rising demand for skilled professionals.

Refer to the table below to know about the various job roles along with their job descriptions and required skillset:

Job Title	Key Responsibilities	Required Skills
Machine Learning Engineer	These professionals design and implement ML systems, create data pipelines and deploy models to production	Python TensorFlow/PyTorch MLOps tools Software engineering
Data Scientist	They analyze complex datasets, develop predictive models and create data visualizations.	Statistical analysis Python/R SQL
AI Research Scientist	Research scientists develop new AI algorithms, conduct research experiments and publish research papers	Advanced mathematics Deep learning Research experience
Computer Vision Engineer	Vision engineers develop image processing systems, create object detection models and implement tracking algorithms.	OpenCV CNN architectures Image processing
NLP Engineer	These professionals build language models, develop chatbots and create text analysis systems	NLP frameworks Transformers Linguistics
Healthcare AI Specialist	They develop medical imaging solutions, create diagnostic tools and analyze patient data	Healthcare knowledge Medical imaging Data privacy
Financial AI Analyst	Financial analysts develop trading algorithms, create risk models and build fraud detection systems	Financial knowledge Time series analysis Risk modeling
AI Product Manager	These professionals guide product development, define strategy and manage stakeholders	Product management Technical knowledge Business strategy
AI Solutions Architect	Solutions architects design enterprise AI solutions, lead implementation and define architecture	System design Cloud platforms Enterprise architecture
MLOps Engineer	These professionals build ML pipelines, manage deployments and monitor system performance	DevOps ML engineering Cloud platforms
AI Ethics Officer	Ethics Officers ensure responsible AI development, develop ethical guidelines and monitor AI bias	Ethics knowledge AI understanding Policy development

Note- The above salary has been taken from external sources, and hence may vary.

Artificial Intelligence and Machine Learning Courses Information You Might Want to Read:

How to Get Your Career Started in Artificial Intelligence

Artificial Intelligence and Machine Learning Course Syllabus

The following topics are covered in Artificial Intelligence and Machine Learning courses:

Module	Topic	Content
Module 1: Foundations of AI and ML (2 weeks)	Introduction to AI	History and evolution of AI Types of AI: narrow vs general AI AI applications and impact Python libraries for AI/ML: NumPy, Pandas
	ML Fundamentals	Types of machine learning Supervised vs unsupervised learning Training, validation, and testing Feature engineering basics
Module 2: Classical Machine Learning (4 weeks)	Supervised Learning - Regression	Linear regression Polynomial regression Regularization techniques (L1, L2) Model evaluation metrics
	Supervised Learning	Logistic regression Decision trees Random forests Support Vector Machines (SVM)
	Unsupervised Learning	K-means clustering Hierarchical clustering Dimensionality reduction (PCA) Anomaly detection
	Model Optimization	Cross-validation Hyperparameter tuning Grid search and random search Model selection strategies
Module 3: Deep Learning (5 weeks)	Neural Networks Basics	Perceptrons and activation functions Feedforward neural networks Backpropagation Gradient descent optimization
	Deep Learning Frameworks	Introduction to PyTorch TensorFlow basics Building neural networks Training and evaluation
	Convolutional Neural Networks (CNNs)	CNN architecture Convolution and pooling operations Transfer learning Popular CNN architectures
	Recurrent Neural Networks (RNNs)	RNN architecture LSTM and GRU Sequence modeling Time series prediction
	Advanced Deep Learning	Attention mechanisms Transformers GANs introduction Autoencoders
Module 4: Natural Language Processing (3 weeks)	NLP Fundamentals	Text preprocessing Tokenization Word embeddings Language models
	Advanced NLP	Named Entity Recognition Sentiment analysis Machine translation Question answering
	Modern NLP	Transformer architectures BERT and GPT models Fine-tuning pre-trained models
Module 5: Production and Ethics (2 weeks)	MLOps	Model deployment API development Docker containers ML pipelines
	Ethics and Future Trends	AI ethics and bias Model interpretability Responsible AI development Future of ML and AI

Artificial Intelligence and Machine Learning Top Recruiters

Following are some of the top recruiters of Artificial Intelligence and Machine Learning professionals:

AI & ML Top Recruiters
Top IT Service
TCS	Infosys	Wipro
E-commerce giants
Flipkart	Amazon	Myntra
Manufacturing Companies
Mahindra	Bosch	Tata Motors

Following are the most popular Artificial Intelligence and Machine Learning courses, based on alumni reviews. Explore these reviews to choose the best course in Artificial Intelligence and Machine Learning.

Following are the most popular Artificial Intelligence and Machine Learning UG Courses . You can explore the top Colleges offering these UG Courses by clicking the links below.

Following are the most popular Artificial Intelligence and Machine Learning PG Courses . You can explore the top Colleges offering these PG Courses by clicking the links below.

Following are the top exams for Artificial Intelligence and Machine Learning. Students interested in pursuing a career on Artificial Intelligence and Machine Learning, generally take these important exams.You can also download the exam guide to get more insights.