PG Diploma in Machine Learning & Artificial Intelligence

How it Works:

Step 1: Take a course

To begin, enroll in the Specialization and choose the one you'd like to start with. When you subscribe to a course that is part of a Specialization. It’s okay to complete just one course — you can pause your learning or end your subscription at any time.

Step 2: Complete all modules / articles / hands-on Project

You'll need to successfully finish the all modules / articles / hands-on Project to complete the Specialization and earn your certificate

Step 3: Earn a Certificate

When you finish this course and complete the hands-on project, you'll earn a Certificate that you can share with prospective employers and your professional network.

Minimum Eligibility :

• Bachelor’s degree in Statistics or Mathematics.
• Graduate in Engineering in Computer Science, IT & Electronics.
• Prior intermediate knowledge of Python is required.

Who is this course for :

• Engineers who have just passed out and looking to build a career in Machine learning & AI.
• Software & IT professionals who are on relevant roles and want to upgrade their skills.
• Data professionals with working experience and desire to learn AI & machine learning.

Course Comparison :

Below are the best online course providing portals. Hop on to these to compare course modules, certifications, features, duration, fees and other benefits and choose the one that best suits you.

Certification of Completion

• In Collaboration with IBM
• Program Duration: 12 months
• Real-Time 25+ Projects
• Purdue PG Program Certification
• Purdue University Alumni Status
• Covered by Purdue faculty & IBM Experts

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Certification of Completion

• NIT Warangal Accredited Certification
• NIT Warangal Alumni Status
• 450+ Hours Intensive Learning
• 20+ Projects, 100+ Case Studies
• High-Quality Lab Environment
• Practice 100+ Essential Tools

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Certification of Completion

• Program Duration: 12 months
• 450+ Hours of Learning
• 30+ Projects & Assignments
• 10 Practical Hands-on Projects
• IIIT Bangalore Alumni Status
• upGrad 360 Degree Support

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Certification of Completion

• Program Duration: 12 months
• 12+ Industrial Projects
• Online Lab Sessions
• Multiple Simulation Exams
• Industry Based Trainers
• Course Completion Certificate

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Certification of Completion

• Program Duration: 11 months
• In collaboration with UCLA Extension
• Dual Certification Upon Completion
• Live Sessions from UCLA Extension Instructors
• Industry oriented Projects

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What you will learn :

• Basic to advanced machine learning & AI
• In-depth understanding of the latest trends in AI & Machine learning.
• Concepts of NLP, graphical models & reinforcement learning.
• Application of NLP, graphical models & reinforcement learning.
• Creating smart solutions like chat box, games, etc.
• Building a portfolio with industry projects.
• Get mentored for starting a career in Machine learning, AI & Data Science.

Skills you will Gain :

• Deep Learning
• Algorithms
• NLP
• Reinforcement learning
• Graphical models
• Predictive Analytics
• Deployment Models
• Statistics
• Data Analytics

Benefits of this course :

The PG course renders plenty of benefits to the learners including:

• The course comprises a world-class curriculum that strengthens your intellectual capabilities and broadens your thinking by insightful teaching and working upon real industry projects.
• You can shine your resume and create your personal brand by adding valuable skills and certification on it. You can get noticed earlier than others and get ahead in your career by taking up the course.
• In addition, the program will help you get a strong foot on the ground of Machine learning & AI and will help you enrich your leadership skills without interrupting your current work.

Average Salary :

The average salary for a Machine Learning Engineer- USD 10,160/year

• Minimum Salary - USD 4,561/year
• Maximum Salary - USD 20,959/year

Future Scope :

The Machine learning and AI market is expected to grow, more than now, in the coming years. The demand for lots of talented professionals such as Data Scientist, Machine Learning Engineers, AI architects, Business Analyst, and Software Engineers are also going high in the field with increased competition as well as a profitable paycheck. By taking up this course and acquiring relevant skills in the field, working knowledge of tools and technology, and other important aspects. You will be able to perform the roles and responsibilities of a Machine learning engineer, AI architect, or data scientist effortlessly. If you aspire to build a successful career in Artificial Intelligence or Machine learning, you must know that the field has plenty of rewarding opportunities for you.