Artificial Intelligence Course in Houston - AI Training & Certification

Intellipaat Artificial Intelligence course in Houston 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 Course in Houston from Artificial Intelligence certified experts. This is co-created with IBM.

Key Features

  • Instructor Led Training : 32 Hrs
  • Self-paced Videos : 24 Hrs
  • Exercises & Project Work : 48 Hrs
  • Get Certified & Job Assistance
  • Flexible Schedule
  • Lifetime free upgrade
  • 24 x 7 Lifetime Support & Access

About Artificial Intelligence Course

Intellipaat offers the complete Artificial Intelligence training in Houston that is designed by the industry. You will work on the cutting-edge of artificial intelligence and artificial neural networks, supervised and unsupervised learning, logistic regression with neural network mindset, binary classification, vectorization, Python for scripting machine learning applications.

What you will learn in this Artificial Intelligence certification course?

  • The fundamentals of Artificial Intelligence
  • Introduction to Artificial Neural Networks
  • How to train a Deep Learning model
  • The various layers of the Neural Network
  • What is back propagation and weight update
  • TensorFlow for numerical computation.

Who should take this AI course?

  • 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 Artificial Intelligence course?

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

What are the AI job opportunities in Houston?

Houston in Texas is one of the biggest technologies centers in the United States of America. It has a very expansive economy wherein the deployment of Artificial Intelligence tools, technologies and methodologies is very impressive. If you are trained in Artificial Intelligence then you can make the best of this huge job opportunities in AI in Houston, Texas.

What is the AI market trend in Houston?

The Artificial Intelligence market trend in Houston, Texas is very exciting. Due to the need for a disruptive technology like Artificial Intelligence to take the enterprises to the next level regardless of the industry vertical, we are seeing huge impetus given for AI technology thus making it highly worthwhile for professionals to learn about AI and make the most of this burgeoning market trend in AI In Houston.

Why should you take this Artificial Intelligence training certification course?

Getting the right training in Artificial Intelligence can help to rapidly move ahead in your career. Intellipaat offers the most relevant and in-depth AI training that can be taken by professionals to get hands-on experience in working on the cutting-edge of AI and grabbing the best jobs in the industry.

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Artificial Intelligence Course Content

Introduction to Deep Learning & Neural Networks

The domain of machine learning and its implications to the artificial intelligence sector, the advantages of machine learning over other conventional methodologies, introduction to Deep Learning within machine learning, how it differs from all others methods of machine learning, training the system with training data, supervised and unsupervised learning, classification and regression supervised learning, clustering and association unsupervised learning, the algorithms used in these types of learning. Introduction to AI, Introduction to Neural Networks, Supervised Learning with Neural Networks, Concept of Machine Learning, Basics of statistics, probability distributions, hypothesis testing, Hidden Markov Model.

Multi-layered Neural Networks

Introduction to Multi Layer Network, Concept of Deep neural networks, Regularization. Multi-layer perceptron, capacity and overfitting, neural network hyperparameters, logic gates, thevariousactivationfunctions in neural networks like Sigmoid, ReLu and Softmax, hyperbolic functions. Backpropagation, convergence, forward propagation, overfitting, hyperparameters.

Training of neural networks

The various techniques used in training of artificial neural networks, gradient descent rule, perceptron learning rule, tuning learning rate, stochastic process, optimization techniques, regularization techniques, regression techniques Lasso L1, Ridge L2, vanishing gradients, transfer learning, unsupervised pre-training, Xavier initialization, vanishing gradients.

Deep Learning Libraries

How Deep Learning Works, Activation Functions, Illustrate Perceptron, Training a Perceptron, Important Parameters of Perceptron,Multi-layer Perceptron What is Tensorflow, Introduction to TensorFlow open source software library for designing, building and training Deep Learning models, Python Library behind TensorFlow, Tensor Processing Unit (TPU) programmable AI accelerator by Google,Tensorflow code-basics, Graph Visualization, Constants, Placeholders, Variables, Step by Step – Use-Case Implementation, Keras.

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, neural network training process customization.

TFLearn API for TensorFLow

Implementing neural networks using TFLearn API, defining and composing models using TFLearn, deploying TensorBoard with TFLearn.

DNN: Deep Neural Networks

Mapping the human mind with Deep Neural Networks, the various building blocks of Artificial Neural Networks, the architecture of DNN, its building blocks, the concept of reinforcement learning in DNN, the various parameters, layers, activation functions and optimization algorithms in DNN.

CNN: Convolutional Neural Networks

What is a Convolutional Neural Network, understanding the architecture of CNN, 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 and understanding Recurrent Neural Networks,feature maps, Kernel filter, pooling, deploying convolutinal neural network in TensorFlow

RNN: Recurrent Neural Networks

Intro to RNN Model, Application use cases of RNN, Modelling sequences, Training RNNs with Backpropagation, Long Short-Term memory (LSTM), Recursive Neural Tensor Network Theory, Recurrent Neural Network Model, basic RNN cell, unfolded RNN,  training of RNN, dynamic RNN, time-series predictions.

GPU in Deep Learning

Introduction to GPUs and how they differ from CPUs, the importance of GPUs in training Deep Learning Networks, the forward pass and backward pass training technique, the GPU constituent with simpler core and concurrent hardware.

Autoencoders & Restricted Boltzmann Machine (RBM)

Introduction to RBM and autoencoders, deploying it for deep neural networks, collaborative filtering using RBM, features of autoencoders, applications of autoencoders.

Deep Learning applications

  • Image Processing
  • Natural Language Processing
  • Speech Recognition
  • Video Analytics

Chatbots

Automated conversation bots using one of the descriptive techniques

  • IBM Watson
  • Google API.AI
  • Microsoft’s Luis
  • Amazon Lex
  • Generative
  • Open-Close Domain Bots
  • 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 phenomenon and to forecast the future values in the series.

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Artificial Intelligence Projects

What projects I will be working in this Artificial Intelligence certification course?

Project 1 : Image recognition with TensorFlow

Industry : Internet Search

Problem Statement : Building a robust deep learning model to recognize the right object on the internet depending on the user search for the image.

Description : In this project you will learn how to build Convolutional Neural Network using Google TensorFlow. You will do 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 it to the Convolutional Neural Network for the desired result.

Highlights :

  • Constructing Convolutional Neural Network using TensorFlow
  • Convolutional, Dense & Pooling layers of CNNs
  • Filtering the images based on user queries.

Project 2 : Building an AI-based chatbot

Industry : Ecommerce

Description : This project involves building the chatbots using Artificial Intelligence and Google TensorFlow.

Problem Statement : Understanding the customer needs and offering the right services through Artificial Intelligence chatbot. You will learn how to create the right artificial neural network with the right amount of layers to ensure the customer queries are comprehensible to the Artificial Intelligence chatbot. This will help to understand natural language processing, understanding beyond keywords, data parsing and providing the right solutions.

Highlights:

  • Breaking user queries into components
  • Building neural networks with TensorFlow
  • Natural language processing.

Project 3 : Ecommerce product recommendation

Industry : Ecommerce

Problem Statement : Recommending the right projects to customers by artificial intelligence

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 user past buying habits, find out what are the products that go hand-in-hand, and recommend the best products for a particular product.

Highlights :

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

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Artificial Intelligence Certification

This course is designed for clearing the Intellipaat AI Deep Learning Certification Exam. The entire training course content is designed by industry professionals to get the best jobs in the top MNCs. As part of this training you will be working on real time projects and assignments that have immense implications in the real world industry scenario thus helping you fast track your career effortlessly.

At the end of this training program there will be quizzes that perfectly reflect the type of questions asked in the respective certification exams and helps you score better marks in certification exam.

Intellipaat Course Completion Certification will be awarded on the completion of Project work (on expert review) and upon scoring of at least 60% 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 artificial intelligence training. The video quality and other course material were appreciable. I would definitely recommend Intellipaat AI training to my friends.

  2. Profile photo of Mary Jain Mary Jain 

    Knowledgeable trainers

    The artificial intelligence trainers of Intellipaat simplified the topics of artificial intelligence, machine learning and TensorFlow to help even an average learner to grasp the tough concepts. Thank you Intellipaat!

  3. Profile photo of Samar Jain Samar Jain 

    Awesome AI Projects

    The Intellipaat artificial intelligence training had great projects in building chatbots and other cool real-world applications. The entire training course was up to the mark.

  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 self-paced training?

In Intellipaat self-paced training program you will receive recorded sessions, course material, Quiz,related software’s and assignments.The courses are designed such that you will get real world exposure and focused on clearing relevant certification exam. After completion of training you can take quiz which enable you to check your knowledge and enables you to clear relevant certification at higher marks/grade also you will be able to work on the technology independently.

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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