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 :

• A Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, or a related field
• Basic understanding of programming (preferably Python)
• Strong logical thinking and analytical skills
• No prior experience in Machine Learning or AI is mandatory, but foundational knowledge in mathematics (linear algebra, probability, and calculus) is beneficial

Who is this course for :

This course is ideal for:

• Fresh graduates looking to build a career in data science or AI
• IT professionals planning a shift to AI-driven roles
• Data analysts wanting to upgrade their skills
• Engineers and developers keen on building intelligent systems
• Entrepreneurs aiming to leverage AI in business solutions
• Academic researchers exploring AI tools for innovation
• Anyone with a tech background and curiosity to learn machine intelligence

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 :

The curriculum is comprehensive and hands-on. Here’s what you can expect:

• Fundamentals of Machine Learning (ML) and Artificial Intelligence (AI)
• Supervised and unsupervised learning techniques
• Data preprocessing and feature engineering
• Deep learning with neural networks and TensorFlow
• Natural Language Processing (NLP) and Computer Vision
• Model evaluation and performance tuning
• AI in real-world applications such as healthcare, finance, and marketing
• Ethical considerations in AI systems
• Capstone projects and use-case driven learning

Skills you will Gain :

• Data analysis and visualization
• Predictive modeling
• Building and deploying machine learning models
• Deep learning architecture (CNNs, RNNs, GANs)
• NLP techniques for chatbots, language translation, and text mining
• Hands-on experience with Python, TensorFlow, Keras, Scikit-learn
• Working knowledge of cloud platforms (AWS/GCP/Azure) for AI deployment
• Problem-solving using AI frameworks
• Ability to interpret and explain AI model outcomes

Benefits of this course :

• 100% online learning with flexible schedules
• Industry-aligned curriculum co-designed with AI experts
• Practical exposure through live projects and assignments
• Mentorship and doubt-clearing sessions with domain professionals
• Certification recognized by recruiters across industries
• Access to job assistance, resume building, and interview preparation
• Learn from case studies and real-world applications
• Helps in transitioning from traditional IT roles to AI-driven roles
• Lifetime access to learning materials for future reference

Average Salary :

Salaries may vary based on job role, experience, and industry:

• United States: $110,000 – $150,000
• Canada: CAD 80,000 – CAD 115,000
• United Kingdom: £45,000 – £75,000
• India: INR 9,00,000 – INR 20,00,000
• Germany: €60,000 – €95,000
• Australia: AUD 95,000 – AUD 130,000
• United Arab Emirates: AED 180,000 – AED 300,000

Future Scope :

Machine Learning and Artificial Intelligence are transforming every industry—from finance and manufacturing to healthcare and education. As companies rely more on intelligent automation and data-driven decision-making, the demand for skilled AI professionals is only growing. After completing this course, learners can explore roles such as:

• Machine Learning Engineer
• AI Developer
• Data Scientist
• NLP Engineer
• Computer Vision Specialist
• Research Analyst – AI
• AI Product Manager