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Artificial Intelligence Course in Chicago

Intellipaat Artificial Intelligence course in Chicago is an industry-designed course for learning TensorFlow, artificial neural network, perceptron in neural network, transfer learning in machine learning, backpropagation for training networks through hands-on projects and case studies. Get the best online artificial Intelligence Training in Chicago from Artificial Intelligence certified experts. This is created in collaboration with IBM.

Key Features

  • Instructor-led Training: 32 Hrs
  • Self-paced Videos: 24 Hrs
  • Exercises & Project Work: 48 Hrs
  • Certification & Job Assistance
  • Flexible Schedule
  • Lifetime Free Upgrade
  • 24/ 7 Lifetime Support & Access

About Artificial Intelligence Course

Intellipaat offers one of the best AI courses in Chicago, Illinois that will help you master deep learning, building artificial neural network, various layers and components of artificial neural networks, supervised, unsupervised and reinforcement learning methodologies through hands-on projects and case studies.

What you will learn in this Artificial Intelligence course in Chicago?

  • The building blocks of Deep Learning
  • Various types of neural networks
  • Using backpropagation for training networks
  • Introducing the TensorFlow for computation
  • Recurrent and convolutional neural network
  • Python scripting in machine learning
  • Real world applications of Artificial Intelligence.

Who should take this Artificial Intelligence training in Chicago?

  • Professionals in analytics, data science domains, ecommerce, search engine domains
  • Software professionals looking for a career switch and fresh graduates.

What are the prerequisites for taking this AI training in Chicago?

Anybody can take this Training Course regardless of their prior skills.

What are the AI job opportunities in Chicago?

Chicago is one of the biggest cities in the United States of America. It is home to a large number of enterprises in the domains of manufacturing, logistics, technology, technology and others. All these industries are heavily invested in AI making it a lucrative market for AI jobs.

What is the AI market trend in Chicago?

Chicago is rising rapidly thanks to its vibrant economy and the huge impetus given by the state and local government bodies along with industry organizations to embrace top technologies to propel the economy forward. Thus the market trend for AI in Chicago is rising rapidly.

Why should you take this Artificial Intelligence course in Chicago?

A top technology like artificial intelligence course in Chicago offers a huge growth opportunity for professionals who want to get ahead in their careers. Intellipaat offers the complete training in AI that includes working on hands-on projects and case studies to help you grab the best jobs in the domain.

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Artificial Intelligence Course Content

Introduction to Deep Learning and Neural Networks

Field of Machine Learning, its impact on the field of Artificial Intelligence, the benefits of Machine Learning w.r.t. traditional methodologies, Deep Learning introduction and how it is different from all other Machine Learning methods, supervised and unsupervised learning, system training with the training data, classification and regression in supervised learning, clustering and association in unsupervised learning, algorithms that are used in these categories, introduction to AI and neural networks, Machine Learning concepts, supervised learning with neural networks, fundamentals of statistics, hypothesis testing, probability distributions, and hidden Markov models.

Multi-layered Neural Networks

Multi-layer network introduction, regularization, deep neural networks, multi-layer perceptron, overfitting, and capacity, neural network hyperparameters, logic gates, different activation functions used in neural networks, including ReLu, Softmax, Sigmoid, and hyperbolic functions, back propagation, forward propagation, convergence, hyperparameters, and overfitting.

Artificial Neural Networks and Various Methods

Various methods that are used to train artificial neural networks, perceptron learning rule, gradient descent rule, tuning the learning rate, regularization techniques, optimization techniques, stochastic process, vanishing gradients, transfer learning, regression techniques, including Lasso L1 and Ridge L2, unsupervised pre-training, Xavier initialization, and more.

Deep Learning Libraries

Understanding how Deep Learning works, its activation functions, illustrating perceptron, perceptron training, multi-layer perceptron, key parameters of perceptron; TensorFlow introduction and its open-source software library that is used to design, create, and train Deep Learning models followed by Google’s Tensor Processing Unit (TPU) Programmable AI, Python libraries in TensorFlow, code basics, variables, constants, placeholders, graph visualization, use-case implementation, Keras, and more.

Keras API

Keras high-level neural network for working on top of TensorFlow, defining complex multi-output models, composing models using Keras, sequential and functional composition, batch normalization, deploying Keras with TensorBoard, and neural network training process customization.

TFLearn API for TensorFlow

Using TFLearn API to implement neural networks, defining and composing models, and deploying TensorBoard.

DNNs (Deep Neural Networks)

Mapping the human mind with deep neural networks (DNNs), several building blocks of artificial neural networks (ANNs), the architecture of DNN and its building blocks, reinforcement learning in DNN concepts, various parameters, layers, and optimization algorithms in DNN, and activation functions.

CNNs (Convolutional Neural Networks)

‘What is a convolutional neural network?’ understanding the architecture and use-cases of CNN, ‘what is a pooling layer?’ how to visualize using CNN, how to fine-tune a convolutional neural network, ‘what is transfer learning?’ understanding recurrent neural networks, Kernel filter, feature maps, and pooling, and deploying convolutional neural networks in TensorFlow.

RNNs (Recurrent Neural Networks)

Introduction to the RNN model, use cases of RNN, modeling sequences, training RNNs with back propagation, long short-term memory (LSTM), Recursive Neural Tensor Network theory, the basic RNN cell, unfolded RNN, RNN training, dynamic RNN, and time-series predictions.

GPU in Deep Learning

GPUs’ introduction, ‘how are they different from CPUs?,’ the significance of GPUs in training Deep Learning networks, forward pass and backward pass training techniques and GPU constituent with simpler core and concurrent hardware.

Autoencoders and Restricted Boltzmann Machine (RBM)

RBM and autoencoders’ introduction, deploying RBM for deep neural networks, using RBM for collaborative filtering, autoencoders’ features, and the applications of autoencoders.

Deep Learning Applications

Image processing, Natural Language Processing (NLP), speech recognition, and video analytics.


Automated conversation bots leveraging any of the following descriptive techniques: IBM Watson, Microsoft’s Luis, Google API.AI, Amazon Lex, Open–Closed domain bots, Generative model, and the sequence to sequence model (LSTM).

Time Series Analysis (Self-Paced)

What is Time Series, techniques and applications, components of Time Series, moving average, smoothing techniques, exponential smoothing, univariate time series models, multivariate time series analysis, Arima model, Time Series in Python, sentiment analysis in Python (Twitter sentiment analysis), text analysis.

Hands-on Exercise – Analyzing time-series data, sequence of measurements that follow a non-random order to identify the nature of the phenomenon and to forecast the future values in the series.

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Artificial Intelligence Projects

What projects I will be working on during this AI online course?

Project 1: Image Recognition with TensorFlow

Industry: Internet Search

Problem Statement: Creating a Deep Learning model to identify the right object on the Internet as per the user search for the corresponding image

Description: In this project, you will learn how to build a convolutional neural network using Google TensorFlow. You will do the visualization of images using training, providing input images, losses, and distributions of activations and gradients. You will learn to break each image into manageable tiles and input them to the convolutional neural network for the desired result.


  • Constructing a convolutional neural network using TensorFlow
  • Convolutional, dense, and pooling layers of CNNs
  • Filtering images based on user queries

Project 2: Building an AI-based Chatbot using IBM watson LAB

Industry: Ecommerce

Problem Statement: Building a chatbot using Artificial Intelligence

Description: In this project, by understanding the customer needs, you will be able to offer the right services through Artificial Intelligence chatbots. You will learn how to create the right artificial neural network with the right amount of layers to ensure that the customer queries are comprehensible to the Artificial Intelligence chatbot. This will help you understand Natural Language Processing, going beyond keywords, data parsing, and providing the right solutions.


  • Breaking user queries into components
  • Building neural networks with TensorFlow
  • Understanding Natural Language Processing

Project 3: Ecommerce Product Recommendation

Industry: Ecommerce

Problem Statement: Recommending the right products to customers using Artificial Intelligence with TensorFlow

Description: This project involves working with recommender systems to provide the right product recommendation to customers with TensorFlow. You will learn how to use Artificial Intelligence to check for users’ past buying habits, find out the products that go hand-in-hand, and recommend the best products that can be bought together with a particular product.


  • Building neural networks with TensorFlow
  • Looking at huge amounts of data and gaining insights
  • Building a recommendation engine with TensorFlow Graph
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Sample Artificial Intelligence Video Tutorials

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Artificial Intelligence Certification

The entire content of this AI course is developed by leading AI professionals to help you find the best artificial intelligence engineering job at the top MNCs. During the certification training, you will work on real-world projects that will help evaluate your skills and learning in real-time business scenarios, thus helping you accelerate your career effortlessly.

Upon the completion of this artificial intelligence online course, there will be quizzes that reflect the type of questions asked in the certification examination and will help you score better.

Intellipaat Course Completion Certification will be awarded on the completion of the project work (after the expert review) and upon scoring at least 60 percent marks in the quiz. Intellipaat certification is well recognized in top 80+ MNCs like Ericsson, Cisco, Cognizant, Sony, Mu Sigma, Saint-Gobain, Standard Chartered, TCS, Genpact, Hexaware, etc.

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Artificial Intelligence Training Review

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  1. Profile photo of Gajraj Singh Gajraj Singh 

    Good learning material

    Intellipaat offered fully updated learning material for the best Artificial Intelligence training. The video quality and other course materials were appreciable. I would definitely recommend Intellipaat’s AI training to my friends.

  2. Profile photo of Mary Jain Mary Jain 

    Knowledgeable trainers

    Artificial Intelligence trainers of Intellipaat simplified the topics of Artificial Intelligence, Machine Learning, and TensorFlow to help even an average learner grasp these toughest concepts. Thank you, Intellipaat!

  3. Profile photo of Samar Jain Samar Jain 

    Awesome AI Projects

    Intellipaat’s Artificial Intelligence training had great projects in building chatbots and other cool real-world applications. The entire certification training course was up to the mark. I found it one of the best AI courses online.

  4. Profile photo of ksharat.1234 Sharath Reddy Yellapati 

    Well-organized classes and highly intellectual instructors.

    The course material was very well organized. The trainer explained the basics of each module to me. All my queries were addressed very clearly. The trainer also made me realize how important this course is for beginners in IT stream. I suggest this is the best training course.

Artificial Intelligence Course Advisor

Suresh Paritala

A Senior Software Architect at NextGen Healthcare who has previously worked with IBM Corporation, Suresh Paritala has worked on Big Data, Data Science, Advanced Analytics, Internet of Things and Azure, along with AI domains like Machine Learning and Deep Learning. He has successfully implemented high-impact projects in major corporations around the world.

Samanth Reddy

A renowned Data Scientist who has worked with Google and is currently working at ASCAP, Samanth Reddy has a proven ability to develop Data Science strategies that have a high impact on the revenues of various organizations. He comes with strong Data Science expertise and has created decisive Data Science strategies for Fortune 500 corporations.

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Frequently Asked Questions on Artificial Intelligence

What is Intellipaat’s Artificial Intelligence online course?

Our Artificial Intelligence online training involves the simultaneous participation of both learners and instructors in an online environment. Being a learner, you can log in to our applied AI course sessions from anywhere and attend the class without having to be present physically. Also, we record the proceedings of all AI classes and equip you with them to further enhance your learning process. On the completion of this AI training online, your experience will be equivalent to that of a professional who has worked for 6 months in the industry.

What are the different modes of training that Intellipaat provides?
At Intellipaat you can enroll either for the instructor-led online training or self-paced training. Apart from this Intellipaat also offers corporate training for organizations to upskill their workforce. All trainers at Intellipaat have 12+ years of relevant industry experience and they have been actively working as consultants in the same domain making them subject matter experts. Go through the sample videos to check the quality of the trainers.
Can I request for a support session if I need to better understand the topics?
Intellipaat is offering the 24/7 query resolution and you can raise a ticket with the dedicated support team anytime. You can avail the email support for all your queries. In the event of your query not getting resolved through email we can also arrange one-to-one sessions with the trainers. You would be glad to know that you can contact Intellipaat support even after completion of the training. We also do not put a limit on the number of tickets you can raise when it comes to query resolution and doubt clearance.
Can you explain the benefits of the Intellipaat self-paced training?
Intellipaat offers the self-paced training to those who want to learn at their own pace. This training also affords you the benefit of query resolution through email, one-on-one sessions with trainers, round the clock support and access to the learning modules or LMS for lifetime. Also you get the latest version of the course material at no added cost. The Intellipaat self-paced training is 75% lesser priced compared to the online instructor-led training. If you face any problems while learning we can always arrange a virtual live class with the trainers as well.
What kind of projects are included as part of the training?
Intellipaat is offering you the most updated, relevant and high value real-world projects as part of the training program. This way you can implement the learning that you have acquired in a real-world industry setup. All training comes with multiple projects that thoroughly test your skills, learning and practical knowledge thus making you completely industry-ready. You will work on highly exciting projects in the domains of high technology, ecommerce, marketing, sales, networking, banking, insurance, etc. Upon successful completion of the projects your skills will be considered equal to six months of rigorous industry experience.
Does Intellipaat offer job assistance?
Intellipaat actively provides placement assistance to all learners who have successfully completed the training. For this we are exclusively tied-up with over 80 top MNCs from around the world. This way you can be placed in outstanding organizations like Sony, Ericsson, TCS, Mu Sigma, Standard Chartered, Cognizant, Cisco, among other equally great enterprises. We also help you with the job interview and résumé preparation part as well.
Is it possible to switch from self-paced training to instructor-led training?
You can definitely make the switch from self-paced to online instructor-led training by simply paying the extra amount and joining the next batch of the training which shall be notified to you specifically.
How are Intellipaat verified certificates awarded?
Once you complete the Intellipaat training program along with all the real-world projects, quizzes and assignments and upon scoring at least 60% marks in the qualifying exam; you will be awarded the Intellipaat verified certification. This certificate is very well recognized in Intellipaat affiliate organizations which include over 80 top MNCs from around the world which are also part of the Fortune 500 list of companies.
Will The Job Assistance Program Guarantee Me A Job?
In our Job Assistance program we will be helping you land in your dream job by sharing your resume to potential recruiters and assisting you with resume building, preparing you for interview questions. Intellipaat training should not be regarded either as a job placement service or as a guarantee for employment as the entire employment process will take part between the learner and the recruiter companies directly and the final selection is always dependent on the recruiter.
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