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Artificial Intelligence Course

86,223 Ratings

Top-Rated Artificial Intelligence Course by Analytics Insight

  • Learn AI from IIT Faculty and Leading Industry Experts from Microsoft, Google & others.
  • Gain hands-on experience in Deep Learning, LangChain, CV, Generative AI & more.
  • Earn industry-recognized AI certifications from iHUB IIT Roorkee and Microsoft.
In Collaboration With
08 Microsoft
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Course Introduction

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Key Highlights

45+ Live Sessions over 7 Months
210 Hrs Self-paced Videos
Learn from IIT Faculty & Industry Practitioners
Work on 10+ Projects
Certification from iHUB IIT Roorkee, and Microsoft
2-day campus immersion at iHUB IIT Roorkee
200 Hrs Project & Exercises
24/7 Support
Google-Reviews 3109
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Artificial Intelligence Course Overview

This Artificial Intelligence course, in collaboration with iHUB IIT Roorkee & Microsoft, builds expertise in AI, Deep Learning, and Generative AI. The curriculum covers Python, Machine Learning, Neural Networks, TensorFlow, NLP, Computer Vision, Transformers, and GenAI through hands-on projects.

What are the learning objectives of this Artificial Intelligence course?

  • Understand deep learning techniques and neural networks, focusing on CNNs, RNNs, and their applications in AI.
  • Develop generative AI skills using transformers, BERT, GPT models, LangChain, and related technologies.
  • Master NLP techniques for text processing, classification, and chatbot development.
  • Use advanced neural networks to apply AI for image recognition and object detection.
  • Gain hands-on experience by working on real-world AI projects such as face-detection and recommender systems.
  • Foundations of deep learning techniques.
  • Basics of artificial neural networks.
  • Training neural networks with training datasets.
  • Exploring convolutional neural networks (CNNs) and their real-world applications.
  • Using TensorFlow and tensor processing units (TPUs) for advanced computations.
  • Learn about supervised and unsupervised learning.
  • Creating machine learning models with Python programming.
  • Practical applications of deep learning in fields like image processing and natural language processing.
  • Hands-on projects focused on creating recommender systems and similar real-world models.

No prior experience is required for participating in this course. Learners can complete the online training according to their schedules.

Pursuing a career in Artificial Intelligence (AI) is a forward-thinking decision because it is one of the fastest-growing fields, with applications across nearly every industry.

AI market to hit $184B in 2025, projected $826.7B by 2030 (Statista)

Avg. salary for AI professionals in the US: $130K+; top roles can go over $200K/year (Indeed, Glassdoor)

78% of companies now use AI (McKinsey, 2025)

$170.9B invested globally in generative AI in 2025 as per Stanford AI Index 2026.

An AI Engineer designs and builds machine learning models, develops AI systems, and improves algorithms to solve problems. They ensure data quality, work closely with teams to deploy AI solutions, and regularly monitor performance to make systems more accurate and efficient.

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Talk To Us

We are happy to help you 24/7

1-800-216-8930 +91-7022374614

Career Transition

57% Average Salary Hike

$114,000 Highest Salary

₹45 LPA Highest Salary

12000+ Career Transitions

3100+ Hiring Partners

Career Transition Handbook

*Past record is no guarantee of future job prospects

Meet the Mentors

Srinath Sivalenka

Srinath Sivalenka

Director of Generative AI at Microsoft

Srinath is a Gen AI expert with 13 years of experience, specializing in Deep Learning and TensorFlow. As Director of Generative AI, he has built scalable AI solutions at Microsoft, AB InBev, and more.

Shivam

Nishkam Shivam

Senior Data Scientist; Formerly at Walmart

Nishkam Shivam is a senior data scientist in analytics and AI at Bristlecone. He has more than nine years of experience in this field and has also worked in companies such as Accenture, Walmart, Emeritus, and many more.

Anurag

Anurag Singh

Principal AI Architect at Schneider Electric Hub

Anurag Singh works at Schneider Electric Hub as a principal AI architect. He started as a software engineer in 2007 and has been working as a data scientist since 2018. He specializes in big data, data science, machine learning, and AI system architecture.

Madhu babu

Madhu Babu Cherukuri

Lead Data Scientist at Intel Corporation

Madhu Babu is an AI and Deep Learning expert with 20 years of experience. As lead AI scientist at Intel, he builds scalable ML solutions and will guide learners through real-world AI applications using TensorFlow in this course.

Akash Pushkar

Akash Pushkar

Principal Data Scientist at Accenture

Akash Pushkar, an IIT Kanpur graduate and principal data scientist at Accenture, brings 11 years of expertise in AI, deep learning, and TensorFlow. He specializes in machine learning algorithms, NLP, computer vision, and deploying AI models in production.

15+ Key Skills You'll Master

Data Science

Python

Data Analysis

Git

AI

MLOps

SQL

Prediction Algorithms

Statistics and Probability

Machine Learning

Deep Learning

Natural Language Processing (NLP)

Generative AI

PySpark

Data Visualization

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14+ Essential Tools You'll Learn

python 2 pyspark 1 Scipy 2 pandas numpy 2 tensorflow 1 matplotlib tableau 3 SQL 1 git excel 1 SparkSQL openai Langchain

AI Course Fees

Online Classroom Preferred

Weekend (Sat-Sun)

25 Jul 2026 08:00 PM - 11:00 PM
Weekend (Sat-Sun)

02 Aug 2026 08:00 PM - 11:00 PM
Weekend (Sat-Sun)

08 Aug 2026 08:00 PM - 11:00 PM
Weekday (Tue-Fri)

11 Aug 2026 07:00 AM - 09:00 AM
$1386 10% OFF Expires in

Corporate Training

  • Customized Learning
  • Enterprise Grade Learning Management System (LMS)
  • 24x7 Support
  • Enterprise Grade Reporting

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Artificial Intelligence Course Syllabus

Live Course Self-Paced

Programming Essentials For Artificial Intelligence

Preview
  • Set up the coding environment and install and configure Python on your system.
  • Understand the basics of the Python programming language.
  • Learn the fundamentals of object-oriented programming using Python.
  • Complete hands-on exercises to practice and further enhance your Python skills.
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  • Get introduced to SQL and also master various advanced SQL queries and constructs.
  • Learn how to perform performance optimization using SQL.
  • Get engaged in multiple hands-on exercises to practice and master your SQL skills.
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  • Describe the process of loading and processing data.
  • Discuss the process of Data Manipulation and Data Visualization using Python.
  • Complete hands-on exercises to practice data processing using Python.
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  • Learn the fundamentals of probability and use descriptive statistics to summarize data.
  • Gain a solid understanding of inferential statistics for evidence-based analysis and Complete practical exercises to master the topics.
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  • Learn the fundamentals of Machine Learning and discuss the difference between supervised and unsupervised learning.
  • Describe the classification and regression algorithms in machine learning.
  • Discuss clustering and forecasting and also learn various advanced machine learning algorithms.
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  • Learn the fundamental concepts of Deep Learning.
  • Explore neural networks in deep learning.
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  • Learn what a convolutional neural network is and also discuss recurrent neural networks.
  • Explore the concepts of image and text classification in artificial intelligence.
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  • Discuss the fundamentals of Generative AI and understand how long short-term memory (LSTM) and transformers work.
  • Explore the BERT (Bidirectional Encoder Representations from Transformers), GPT (Generative Pre-Trained Transformers), & LLM (Large language models) language models.
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  • Get introduced to the concept of prompt engineering in Generative AI.
  • Learn how to write GenAI prompts for development and e-commerce.
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Electives:

  • Explain text processing and also understand text classification & analysis.
  • Explore language modeling and learn how to build chatbots using natural language.
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  • Get introduced to computer vision.
  • Learn about object-detection techniques in computer vision using deep neural networks.
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  • Understand what reinforcement learning is and also explore its various methods.
  • Describe Markov Decision and Bandit and their use cases.
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The artificial intelligence capstone project will assess your approach to solving complex business problems using deep neural networks.

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  • Build an effective job-search strategy.
  • Highlight your professional skills with an effective resume and LinkedIn profile under the guidance of top industry experts.
  • Get top interview preparation tips & tricks from industry professionals.
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Artificial Intelligence Projects

Advanced Certification in Data Science and AI Certificate Image Click to Zoom

Artificial Intelligence Certification

What certifications will I receive after completing this program?

You will master AI & Deep Learning Skills and earn industry-recognized certifications from iHUB IIT Roorkee, Microsoft, Intellipaat & NSDC. You will also learn from IIT faculty and top industry experts while gaining placement assistance and visibility with our 3100+ hiring partners.

Artificial Intelligence Course Reviews

(86,223)
Muhammed Musthafa V C

Muhammed Musthafa V C

Generative AI Data Scientist at Infosys

Curious about AI, I joined Intellipaat and completed projects like an 'AI Chatbot' for customer support. Now, I apply these skills to real-world projects, including predictive maintenance and customer segmentation.

Karuniya Premnath

Karuniya Premnath

Intern at gnani.ai

I completed the course offered by Intellipaat, which equipped me with knowledge in AI and ML. Now, as an intern at gnani.ai, I get the chance to implement concepts learned in real AI projects under industry experts.

Neeraj Jain

Neeraj Jain

Machine Learning Engineer at Digivate Labs

With Intellipaat's guidance, I've not only gained valuable skills but also secured an exciting role in this rapidly evolving field. If you're ready to take your career to new heights, Intellipaat is the right place to go!

Amit Chakraborty

Amit Chakraborty

Director, Integration and Automation at Cloudsufi

Completed the Data Science & Artificial Intelligence – IITM Pravartak program from Intellipaat! Expert mentors, hands-on projects, and real-world case studies boosted my skills in ML, analytics, and data handling.

Sk Saidul Islam

Sk Saidul Islam

Technology Analyst at Infosys

With Intellipaat, I gained valuable skills and got promoted at Infosys! with a comprehensive curriculum Led by IIT faculty. Hands-on projects ensured practical mastery. If you aim to level up in AI and ML, Intellipaat is the way to go!

Karthik Ramamoorthy

Karthik Ramamoorthy

Manager at Standard Chartered Bank

This Intellipaat course transformed my journey from consultant to AI leadership. With an automation background, I was keen to apply AI/ML, and this course paved the way for success, enabling me to thrive with expert guidance.

Experience Campus Immersion at iHUB IIT Roorkee and Network with Peers & IIT Faculty

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FAQs

Is programming knowledge necessary for this Artificial Intelligence Course?

Basic programming knowledge can help learners understand the course fundamentals. However, if you are new to programming, there’s no need to worry. This comprehensive course includes Python programming, which provides all the tools needed to kickstart your career in artificial intelligence.

The answer is yes. A non-IT candidate can surely learn AI. A background in computer science and other technical domains is very helpful, but AI is a broad field, and thus, it encourages people from various backgrounds to learn and flourish in it.

Yes, we provide mock interviews during this course. These help you practice realistic interview scenarios, boosting your confidence and increasing your chances of success.

This Artificial Intelligence course features 10+ real-world projects, including cutting-edge applications in RAG (Retrieval-Augmented Generation), LangChain, and more. Gain hands-on experience with the latest AI technologies while building practical, industry-relevant solutions.

Yes, this online AI Program is recommended for freshers. It starts with very basic concepts like Python programming, and then it gradually covers more advanced topics related to AI. This helps freshers learn AI concepts from scratch and understand how to apply them to real-world problems.

Yes, as per our refund policy, once the enrollment is done, no refund is applicable.

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