Live Course Online Artificial Intelligence Course

Online Artificial Intelligence Course

4.5 out of 5 based on 3316 reviews

At Prayug, we don’t just teach Artificial Intelligence—we train thinkers, builders, and future-ready professionals through a practical, guided, and deeply immersive learning experience. Our Online Artificial Intelligence Course goes beyond buzzwords. You’ll explore, build, and deploy AI systems that actually solve problems.

Online Artificial Intelligence Course
₹16,500.00/- Only

Expertise
9000+

Professionals Trained

300+

Trainers

8000+

Students Placed

100+

Courses Offered


Course Duration

6 Months

Certificate

Yes

Live Project

Yes

Training Mode

Classroom/Online

Course Overview

What Is Artificial Intelligence (AI) and Why Should You Care?

Artificial Intelligence is the science of making machines smart—smart enough to learn from data, recognize patterns, understand language, and make decisions without human involvement. AI is now a central part of industries like healthcare, banking, e-commerce, transport, and cybersecurity.

AI is made up of multiple subfields, each with its own applications:

  • Machine Learning (ML): Where machines learn from data—used in fraud detection, recommendation systems, and stock predictions.
  • Deep Learning: Simulates the human brain using neural networks—key to image recognition, speech processing, and self-driving cars.
  • Natural Language Processing (NLP): Helps machines read and respond in human language—used in translation apps, voice assistants, and chatbots.
  • Computer Vision: Enables machines to see and understand images and videos.
  • AI Ethics & Responsible AI: Ensures fairness, transparency, and accountability in how AI is designed and used.

 

What Will You Learn? What Will You Build?

Prayug’s Artificial Intelligence Course is both foundational and futuristic. You won’t just understand how AI works—you’ll know why it matters, where it’s applied, and how to make it work.

What You’ll Acquire by the End of the Course

  • Clear Understanding of AI Concepts: From Narrow AI to General AI, you’ll understand the architecture of intelligent machines.
  • Mastery in Machine Learning Algorithms: Supervised, unsupervised, and reinforcement learning—from scratch to implementation.
  • Deep Learning Capabilities: Build CNNs for image classification, RNNs for sequence prediction, and use backpropagation effectively.
  • Natural Language Skills: Perform sentiment analysis, build language models, and implement language-based AI systems.
  • Data Proficiency: Clean, preprocess, visualize, and analyze large datasets with Python libraries like Pandas, NumPy, and Seaborn.
  • Ethical AI Knowledge: Understand the risks of bias, lack of fairness, and AI misuse—and how to build responsibly.
  • Deployment Skills: Learn to host AI models on cloud platforms using APIs and tools for scalability.
  • Problem-Solving Mindset: Tackle real-world AI problems across domains like retail, healthcare, and finance.
  • Project Portfolio: Complete mini-projects and a capstone project that demonstrates your expertise to employers.

 

Who Can Learn AI With Prayug?

You don’t need to be a genius. You just need to be curious, consistent, and committed. This course is designed for:

  • Engineering and CS students who want job-ready skills
  • Non-CS grads looking to build a tech career
  • Professionals in marketing, sales, finance who want to shift into data roles
  • Startup founders and entrepreneurs building AI-based products
  • MBA and Data Analytics learners adding technical depth to their profiles
  • Anyone seeking a strong base before a master’s in AI or data science

Even if you’ve never written code before—we’ll teach you Python, step by step.

  • Introduction to Machine Learning and Types of Machine Learning
  • Linear Regression
  • Gradient Descent Algorithm
  • Logistic Regression
  • Polynomial Regression, Performance Metrics for Classification
  • Performance Metrics for Regression, Overfitting and Underfitting
  • Ensemble Learning
  • Artificial Neural Networks
  • Multilayer Perceptron Model, Backpropagation Algorithm
  • Activation Functions, Gradient Descent Methods
  • Regularization Techniques
  • Bayesian Learning
  • Support Vector Machines
  • Non-Parametric Regression, K-Nearest Neighbour
  • Unsupervised Learning Techniques
  • k-Means Clustering and Hierarchical Clustering

Benefits Of A Prayug Certificate

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Certify Your Skills

A CPD accredited Prayug Certificate certifies the skills you’ve learned

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Stand Out From The Crowd

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Advance in Your Career

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