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Pravartak

Artificial Intelligence Course

86,146 Ratings

Rated #1 Artificial Intelligence Course by India TV

Elevate your career with our comprehensive Artificial Intelligence Course within 7 months

  • Learn AI from eminent IIT Madras Faculty and top industry experts
  • Master & get hands-on experience in Deep Learning, Computer Vision, TensorFlow, Neural Networks, Generative AI, etc.
  • Attend a 2-day campus immersion program at IIT Madras Research Park
  • Get 3 guaranteed job interviews upon movement to the placement pool
  • Earn the Certification in Data Science & Artificial Intelligence from IITM Pravartak (A Technology Innovation Hub of IIT Madras)
In Collaboration With
08 Microsoft
IITM Research
Course Introduction

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Key Highlights

45+ Live sessions across 7 months
210 Hrs Self-paced Videos
Learn from IITM Faculty & Industry Practitioners Project & Exercises
1:1 with Industry Mentors
Campus Immersion at IIT Madras Research Park
Resume Preparation and LinkedIn Profile Review
200 Hrs Project & Exercises
24/7 Support
Trustpilot 3109
sitejabber 1493
mouthshut 24542

Artificial Intelligence Course Overview

What are the learning objectives of this Artificial Intelligence Course from IIT Madras Pravartak?

Some of the learning objectives for this course are

  • Understand deep learning techniques and neural networks, focusing on CNNs, RNNs, and their applications in AI.
  • Master generative AI skills like Transformers, BERT, GPT, LangChain & more
  • 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 like face detection, recommender systems, etc.

Some of the critical topics you will learn in the AI Program are:

  • 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 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.

You will acquire skills in machine learning, deep learning, neural networks, natural language processing (NLP), Computer Vision, and Generative AI. The course also covers programming languages like Python and tools like TensorFlow, Keras, and OpenCV, essential for implementing AI models and computer vision applications.

There are no prerequisites for participating in this course. You can easily take this course training online according to your convenience.

Artificial Intelligence is transforming industries, with applications across diverse sectors. In McKinsey’s 2024 Global Survey, 65% of organisations report regular AI use in their operations.

The AI market is projected to reach USD 184.00 billion in 2024 and grow at a CAGR of 28.46%, reaching USD 826.70 billion by 2030. – Statista

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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Career Transition

57% Average Salary Hike

45 LPA Highest Salary

12000+ Career Transitions

300+ Hiring Partners

Career Transition Handbook

*Past record is no guarantee of future job prospects

Meet the Artificial Intelligence Mentors

15+ Key Skills You'll Master

Data Science

Python

Data Analysis

Git

AI

MLOps

SQL

Data Wrangling

Prediction Algorithms

Statistics and Probability

Machine Learning

Deep Learning

Natural Language Processing (NLP)

Generative AI

PySpark

Data Visualization

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13+ Essential Tools You'll Learn

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

AI Course Fees

Online Classroom Preferred

Weekend (Sat-Sun)

21 Dec 2024 08:00 PM - 11:00 PM
Weekend (Sat-Sun)

28 Dec 2024 08:00 PM - 11:00 PM
Weekend (Sat-Sun)

04 Jan 2025 08:00 PM - 11:00 PM
Weekend (Sat-Sun)

11 Jan 2025 08:00 PM - 11:00 PM
79,002 10% OFF Expires in

EMI Starts at

₹5,000

We partnered with financing companies to provide very competitive finance options at 0% interest rate

Financing Partners

EMI Partner

The credit facility is provided by a third-party financing company and any arrangement with such financing companies is outside.

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 & configure Python on your system.
  • Understand the basics of Python programming language.
  • Learn the fundamentals of object-oriented programming using Python.
  • Work on various hands-on 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 optimisation using SQL.
  • Get engaged in multiple hands-on exercises to practice and master your SQL skills.
  • Describe the process of loading and processing data.
  • Discuss the process of Data Manipulation and Data Visualization using Python.
  • Work on various hands-on to practice data processing using Python.
  • Understand the concept of probability basics and discuss descriptive statistics for the summary.
  • Gain a solid understanding of inferential statistics for evidence-based analysis and perform hands-on to master the topics.
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  • Get introduced to the Machine Learning concept 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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  • Get introduced to the concept of deep learning and understand the basics.
  • 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 GenerativeAI 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:

  • Describe what text processing Is 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 computer vision object detection techniques 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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  • Strategy building for the job search.
  • 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

Career Services

Career Services
job portal
Exclusive access to Intellipaat Job portal
guaranteed
Placement Assistance
1 on 1 Career Mentoring Sessions
Mock Interview Preparation
linkedin 1
Resume & LinkedIn Profile Building
resume 1
Career Oriented Sessions
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Advanced Certification in Data Science and AI Click to Zoom

Advanced Artificial Intelligence (AI) Certification

What certifications will I receive after completing this program?

  • IITM Pravartak Certification: You will receive a certification from IIT Madras Pravartak for completing the course.
  • Microsoft Certification: You’ll also earn a Microsoft certification, enhancing your credentials.

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FAQs

What is this Artificial Intelligence Course?

This Program and training involves the simultaneous participation of both learners and instructors in an online environment. As a learner, you can log in to our applied AI certification course sessions from anywhere and attend the class without being physically present. Additionally, we record all class sessions and provide access to these recordings to further enrich your learning experience. Upon completion of this course, your experience will be equivalent to that of a professional who has worked for six months in the industry.

You will earn prestigious certification in Data Science & AI from IITM Pravartak (A Technology Innovation Hub of IIT Madras). As part of this Artificial Intelligence Certification, you will master the AI skills required to land the top jobs in AI and receive industry-recognized certification from Intellipaat.

Basic programming language can help the candidate understand the fundamentals of the course. 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 the real interview scenarios, boosting your confidence and increasing your chances of success.

Yes, Intellipaat provides practice exams for this course, which will help you enhance your subject knowledge and prepare for the exams.

The process for getting into the placement pool is as follows:

  1. Complete the course and submit all projects and assignments.
  2. Then, pass the Placement Readiness Test (PRT).
  3. Once you clear the PRT, you’ll gain access to our job portal.

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.

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