A Detailed Manual On Best Machine Learning Courses Covering Eligibility & Course Outcome!

Are you inclined towards making a career in machine learning? We won’t ask you why! Isn’t it obvious because it is one of the emerging fields today? Now coming to the next question. Are you Looking for a list of the best machine learning courses? Machine learning, deeply rooted in statistics, is a rapidly advancing field in computer science. 

It enhances various industries and applications by making them more efficient and intelligent. Examples include chatbots, spam filters, ad serving, search engines, and fraud detection, all of which rely on machine learning models. Okay, enough of talking! We will of course be covering all this information in detail in this post! Now we would like you to have a look at: 

Quick Overview About Machine Learning Course

• Machine learning offers diverse career opportunities, from data science to artificial intelligence research.
• Opportunities to conduct cutting-edge research in areas such as natural language processing, computer vision, and deep learning.
• Strong demand for machine learning professionals in industries like finance, healthcare, e-commerce, and cybersecurity.
• Machine learning experts drive innovation by developing advanced algorithms, predictive models, and AI-powered solutions.
• Machine learning addresses global challenges like personalized medicine, climate modeling, and autonomous systems.
• To enter the field, you can pursue courses such as B.Tech, M.Tech, MSc, PhD, or specialized certifications in machine learning, data science, or artificial intelligence.

Still not convinced. Want to know more? Come along… 

List of Best Machine Learning Courses

Here’s the list of best machine learning courses covering all types of options. 

Course Name	Provider	Course Type	Duration	Average Fees (INR)
Machine Learning A-Z™: Hands-on Python & R in Data Science	Udemy	Certification	44.5 hours	3,499
Deep Learning A-Z™: Hands-on Artificial Neural Networks	Udemy	Certification	22 hours	3,499
Python for Data Science and Machine Learning Bootcamp	Udemy	Certification	25 hours	3,499
Machine Learning, Data Science, and Deep Learning with Python	Udemy	Certification	15.5 hours	3,499
Machine Learning Crash Course	Google	Free	8 hours	Free
Machine Learning by Andrew Ng	Coursera (Stanford University)	Certification	61 hours	Free Enrollment
Machine Learning Specialization	Coursera	Certification	7 months	Free Enrollment
Master of Science in Machine Learning and Data Science	Coursera	PG Degree	24 months	14,83,514
Machine Learning Engineering for Production (MLOps) Specialization	Coursera	Certification	4 months	2,961
Basics of Machine Learning	GreatLearning	Online Course	Self-paced	Free
Introduction to Machine Learning	Udacity	Online Course	30 minutes	Free
BTech Artificial Intelligence and Machine Learning	Many Colleges	UG Degree	4 years	Varies From College to College
AWS Certified Machine Learning Specialty (MLS-C01)	Udemy	Certification	17.5 hours	3,499
Machine Learning with Python: A Practical Introduction	edX	Certification	5 weeks	Free to Audit (7,471 for Certification)
Professional Certificate Program in Machine Learning & Artificial Intelligence	MIT	Certification	—	24,676

Please note that the above list is not limited. There are many other courses available. If you need any help in finalizing the best machine learning course, reach out to our “Career Counsellors in Delhi”. 

Best Machine Learning Courses: Eligibility Criteria 

Machine learning is a rapidly growing field, and pursuing a course in this domain can open up exciting career opportunities. However, the eligibility criteria for different machine learning courses vary based on factors such as the type of course, level, duration, and institution. Here’s a breakdown of the eligibility criteria for some of the best machine learning courses:

Course Type	Eligibility Criteria
Machine Learning Certificate	Passed class 12th from a recognized board <br> – Graduated from a recognized university
Diploma in Machine Learning	Must have passed class 12th from a recognized board
Bachelor’s in Machine Learning	Passed class 12th from a recognized board with a minimum of 50% marks
PG Diploma in Machine Learning	Completion of graduation in a relevant discipline
Master’s and Other PG Courses	Completion of graduation degree courses in relevant disciplines from recognized universities

Machine Learning Course Syllabus

Here’s the general overview of the syllabus of the above-mentioned machine learning courses. Students must note that the syllabus might vary from course to course and university to university. So, they must check the same before applying. 

Course Component	Topics Covered
Introduction to ML	Basics of ML, AI, and Data Science
Fundamental Mathematics	Statistics, Linear Algebra, Calculus, Probability
Programming Languages	Python, R
Data Handling and Processing	Data Acquisition, Pre-processing, Quality, Transformation
Supervised and Unsupervised Learning	Clustering, Regression, Forecasting
Deep Learning	Neural Networks, CNNs, RNNs, GANs
AI and ML Applications	Natural Language Processing, Graphical Models, Reinforcement Learning
Industry Tools & Frameworks	PyTorch, Cloud Computing, Big Data Frameworks
Advanced Topics	Convolutional Neural Networks, Recurrent Neural Networks
Model Deployment and Updates	Model Deployment, Monitoring, Updating Models
Data Science Integration	Linear Algebra, Statistical Learning, Programming for Data Analysis
Electives and Specializations	IoT, Robotics, NLP, Image Processing, ML in Finance

Job Opportunities After Machine Learning Courses

After completing the best machine learning courses, you open doors to a wide range of exciting job opportunities in various industries. Here are some of the job opportunities along with roles and responsibilities: 

Job Opportunity	Responsibilities	Future Prospects
Machine Learning Engineer	Develop machine learning models, analyze data, collaborate with data scientists and engineers to deploy models, maintain ML infrastructure	High demand, competitive salaries, opportunities for growth and advancement
Data Scientist	Analyze complex data sets, create statistical models, develop algorithms, communicate findings to stakeholders, drive data-driven decisions	Growing demand, lucrative salaries, diverse industries to work in
AI Research Scientist	Conduct research in AI, develop new algorithms and models, publish findings in journals or conferences, collaborate with other researchers	Opportunities in cutting-edge research, academia, and tech companies
Data Analyst	Collect and analyze data, create visualizations, identify trends and patterns, generate reports, support decision-making processes	Growing demand, opportunities in various industries, entry-level positions available
Business Intelligence Analyst	Gather and analyze business data, create dashboards and reports, provide insights to improve business operations	Opportunities in business analytics, strategic roles, growth potential
Machine Learning Consultant	Advise companies on ML strategies, develop custom ML solutions, provide technical expertise, collaborate with teams to implement solutions	Consulting opportunities, diverse projects, high-demand skill set
AI Ethics Consultant	Address ethical concerns in AI, develop ethical frameworks, ensure AI systems are fair and unbiased, advise on regulatory compliance	Emerging field, demand for ethical AI, opportunities in tech ethics roles
Robotics Engineer	Design and develop robotic systems, integrate AI and ML algorithms, test and troubleshoot robotic systems, collaborate with engineers	A growing field, opportunities in robotics, automation, and AI-powered systems
Software Engineer (ML Focus)	Develop software applications with ML capabilities, optimize algorithms, and integrate ML models into software systems	ML expertise adds value, opportunities in software development, tech companies
Data Engineer	Build and maintain data pipelines, develop data architectures, optimize data storage and retrieval, support data analytics initiatives	Demand for data engineering skills, opportunities in big data and analytics projects

Salary After Machine Learning Courses

In India, the field of Machine Learning (ML) offers lucrative career prospects, driven by high demand and the need for specialized skill sets. Salaries in this domain vary based on experience, skills, and expertise level.

Here’s an overview of the salary insights! 

• The demand for Machine Learning professionals in India is soaring, reflecting the industry’s reliance on data-driven technologies.
• ML engineers command high salaries due to their ability to develop and deploy complex models that drive business decisions.
• According to Payscale, the average annual Machine Learning salary in India stands at approximately Rs. 686,281, inclusive of bonuses and profit-sharing.
• Experience plays a pivotal role in determining salaries, with entry-level positions starting around 5.1 LPA and seasoned professionals exceeding 20 LPA.
• The acquisition of specific skills significantly impacts salary increments, with expertise in areas like Python, Deep Learning, Natural Language Processing (NLP), and Computer Vision commanding higher paycheques.
• Skill development is key to unlocking top-paying roles in the competitive market for Machine Learning engineers.

Final Thoughts!

That’s all we have to cover about the best Machine learning courses in India. No wonder, they are gaining immense popularity due to the booming tech industry. With companies adopting AI solutions, the demand for ML professionals is skyrocketing. Many top universities and online platforms offer comprehensive ML courses, catering to diverse skill levels. 

Graduates can explore opportunities in data science, AI research, and software development. The scope includes industries like healthcare, finance, and e-commerce, creating a wide range of career options. ML specialists are highly sought after, commanding lucrative salaries and job stability. Continuous advancements in technology ensure that the scope for ML courses in India will continue to expand.

iDreamCareer is here to assist you in making an informed decision about your future in this thriving field. Take advantage of iDreamCareer’s College & Course Selection Program today and embark on the path toward a successful future!  

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