Artificial Intelligence Course in Hyderabad Overview

AI Online Training in Hyderabad

Start your career in the evergreen field by enrolling into experts designed Artificial Intelligence course in Hyderabad. Our certified AI trainer will teach you all the skills and help you become an AI specialist. During this artificial intelligence course in Hyderabad, you will gain in-depth knowledge of multiple AI concepts which include artificial neural networks, TensorFlow, backpropagation, transfer learning in machine learning, chatbots, NLP, and much more.  Learn from the expert mentors by joining the best Artificial Intelligence training in Hyderabad offered by CourseDrill.

Why should you learn an Artificial Intelligence Course?

Why CourseDrill?

CourseDrill is a leading online Artificial intelligence training provider in Hyderabad with world-class industry experts as its trainers. We have been the first choice for many Artificial Intelligence aspirants over the past 5 years and till today we have successfully trained 5000+ aspirants in the AI and machine learning field. Our unique features like certified AI trainers, industry-oriented course curriculum design, practical teaching methodology, placement assistance, world-class support system, etc, have made us the best Artificial intelligence course providers in Hyderabad. We assure you the best learning experience and guide you towards your goal by delivering you best AI skills.

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Online Artificial Intelligence Training Details in Hyderabad:

What is Artificial Intelligence?

Artificial intelligence is defined as intelligence demonstrated by machines and the ability to think and execute problems similar to humans. Artificial Intelligence is an innovative field which powers the machines to learn from experience, accept new inputs, and perform tasks similar to a human. In this modern era, the AI techniques have got huge popularity due to innovations in computer power, large amounts of data etc. Artificial Intelligence has become an integral part of almost all the industries ranging from global corporations to startups and has the ability to solve challenges in computer science, operations research, and software engineering.

About Artificial Intelligence certification course in Hyderabad

CourseDrill offers you experts designed job-oriented online artificial intelligence courses in Hyderabad. This course is a blend of all the elements which equips you with the right AI skills and makes you industry-ready. In this AI online training, you will learn Deep learning, Neural networks, Keras API, CNNS, DNNS, RNNS, Chatbots, Deep learning applications, and much more through real-time projects and applications. We assure the best learning experience and equip you with the right knowledge by the end of this AI course. Our uncompromised quality training services have made us one of the Best AI institutes in Hyderabad.

What skills will you gain in this Artificial Intelligence course in Hyderabad?

In this AI online course Hyderabad you will learn:

    • Evolution of Artificial intelligence and its need
    • Applications of Artificial Intelligence
    • Machine Learning and its basics
    • Introduction to Deep Learning
    • Deep Learning Models and process to build them
    • Deep Learning techniques
    • Training deep learning models
    • TensorFlow overview and various concepts in it
    • Deep Neural network Architecture
    • Optimization algorithms and  activation functions in deep neural networks
    • Role and Importance of GPUs in training deep learning networks.
    • Artificial Intelligence Interview preparation and much more.

Who can join this AI training in Hyderabad?

This online AI training is best suitable for the below professionals:

    • Ecommerce professionals
    • Data Scientists
    • Analytics professionals
    • Search Engine Optimization (SEO) professionals
    • Software professionals
    • Fresh Graduates

Artificial intelligence prerequisites for enrolling in this course?

There are no prerequisites to join this Artificial intelligence course in Hyderabad. Anyone who is interested in building their career in the Artificial intelligence field can enrol in this AI training Hyderabad.

What are the AI job opportunities in Hyderabad?

Hyderabad is one of the fastest-growing information technology hubs in the world with world-class infrastructure and availability of skilled human resources. Hyderabad is housing for the world’s biggest corporations such as Amazon, Google, Facebook, Microsoft, Oracle, Dell, and the list goes on. Almost all the organizations ranging from startups to large corporations are investing in AI to leverage its benefits and to sustain in this competitive world. The increased deployment rate of AI by the organizations in Hyderabad has created a huge number of job opportunities in this field. You can easily get into your dream job as an AI specialist by joining our AI certification course in Hyderabad.

Is it worth learning AI in Hyderabad?

Yes! You can surely benefit from learning AI in Hyderabad because there is an increased investment in AI that has produced a large number of employment opportunities. There are a good amount of openings for the different AI positions in Hyderabad. Right training and preparation would surely help you in getting into your dream career. Our AI course curriculum has been designed to match industry requirements and make you perfectly suitable for job requirements posted by companies in Hyderabad.

Does CourseDrill offer AI Corporate Training?

Yes! We do offer customized AI training to the corporates in order to upskill their learners with the right skills.  Our AI experts will build a perfect training model which fits your organizational learning needs.

How much is the Artificial intelligence course fee in Hyderabad?

Artificial Intelligence course fee in Hyderabad is 26K INR. You can also get a complete artificial intelligence training in Hyderabad fees details by contacting us at +91 9347384580 and moreover, you can also avail discount on this ai course in Hyderabad.

Does CourseDrill offer AI classes in Hyderabad?

Yes! We do offer online as well as offline AI classes in Hyderabad based on the requirement of the students.

AI Course Curriculum:

At CourseDrill the AI course content has been designed by the industry experts and updated on a regular basis to provide you with the fresh industry skills. Following are the AI training syllabus modules that we are going to cover in this training.

Learning Objective: Deep learning is a subfield of Machine learning and works based on artificial neural networks. In this module, you will learn all the fundamental concepts of deep learning.

Topics:

    • Introduction to machine learning
    • Advantages of Machine Learning
    • Introduction to Deep learning
    • Deep learning vs other machine learning methods
    • Regression and Classification in supervised learning
    • Introduction to association and clustering in unsupervised learning
    • Introduction to Neural networks and their role in AI
    • Machine learning concepts
    • Introduction to Supervised learning
    • Supervised learning with neural networks
    • Fundamentals of statistics, and probability distributions
    • Introduction to hypothesis testing and hidden Markov models.

Learning Outcome: Upon the completion of this module you will have gained a clear overview of machine learning, neural networks applications of Neural Networks and much more.

Learning Objective: Multi-layered Neural Networks defined as networks that contain more than one layer of networks or nodes. Majority of the networks used today are the multi-layered ones.

Topics:

    • Overview of Multi-layer network
    • Introduction to deep neural networks and regularization
    • Multi-layer perceptron
    • Capacity and Overfitting
    • Activation functions used in Neural Networks
    • Neural network logic gates and  hyperparameters
    • Introduction to forwarding propagation and backpropagation

Learning Outcome: By the completion of this module you will gain in-depth knowledge of Multilayered Neural Networks and different concepts in it.

Learning Objective: An artificial neural network (ANN) is a specially developed computing system designed to analyze and process information similar to the human brain.

Topics:

    • Methods used for training artificial neural networks
    • Derailed overview of methods such as  Perceptron learning rule,  tuning the learning rate, gradient descent rule, optimization techniques
    • transfer learning, vanishing gradients,  Stochastic process, and  regression techniques
    • Overview of Lasso l1 and ridge l2, Xavier initialization and unsupervised pre-training

Learning Outcome: By the end of this module you will have gained practical experience in implementing various Artificial Neural Network Methodologies.

Learning Objective: Deep Learning libraries consist of readily written, high-quality code that can be used in any project.

Topics:

    • A brief overview of Deep Learning
    • Understand how deep learning works
    • Illustrating perceptron, activation functions, perceptron training
    • Introduction to multi-layer perceptron, and key components in it. 
    • TensorFlow and its library
    • Open-source software library used to design, create and train
    • Deep Learning models
    • Google’s tensor processing unit (tpu) programmable ai
    • Libraries available in Python variables, constants, code basics, placeholders
    • Graph visualization, Keras, and more.

Learning Outcome: By the end of this chapter you will have gained practical knowledge on how Depp learning methods work in real-time and various models available in it.

Learning Objective: Keras is one of the popular and high-level neural network APIs.  Keras is written in using Python and supports various neural network computation engines.

Topics:

    • Introduction to Keras Neural Networks
    • Keras on-top TensorFlow
    • Composing models using Keras 
    • Defining complex multi-output models
    • Functional and sequential composition, batch normalization
    • Customization of Neural network training process
    • Deploying Keras with Tensorboard

Learning outcome: Upon the completion of this chapter you will gain in-depth knowledge of Keras API and the process to use it on top of TensorFlow.

Learning Objective: TFLearn is a transparent and modular learning aspect that is being used in TensorFlow framework. TFLearn provides a higher-level API to TensorFlow which enables in conducting new experiments.

Topics:

    • Implementing Neural networks using TFLearn API
    • Deploying Tensorboard

Learning Outcome: You will gain hands-on experience in using TFlearn on top of TensorFlow.

Learning objective: The deep neural networks can be trained from end-to-end. Deep Neural Networks can learn on their own based on the given training data.

Topics:

    • Comparison between the human mind and Deep Neural Networks
    • Building blocks of Artificial Neural Networks (ANS)
    • DNN architecture and its building blocks
    • Reinforcement learning in DNN

Learning Outcome: By the end of this chapter you will have learnt all the modules associated with Deep Neural Networks.

Learning Objective: It is a Deep Learning algorithm that is capable of processing images and differentiate images from one another.

Topics:

    • Introduction to Conventional Neural Network
    • CNN Architecture
    • Overview of pooling Layer
    • Making customizations to CNN
    • What is Transfer learning?
    • Introduction to recurrent neural networks, feature maps, kernel filter, using convolutional neural networks in TensorFlow.

Learning Outcome: By the end of this chapter you will have gained hands-on experience in using Conventional Neural Networks and transfer learning.

Learning Objective: Recurrent Neural Networks (RNN)  is widely used for modelling sequence data. RNN functions similar to the human brain. Following are the concepts that you are going to master in this Recurrent Neural Networks (RNN) module.

Topics:

    • Overview of RNN model
    • Modelling Sequences in RNN and use cases
    • Backpropagation using Rnns 
    • Long short-term memory (lstm)
    • Time-series predictions. 
    • Recursive neural tensor network theory

Learning Outcome: By the completion of this module, you will have gained hands-on experience in modelling sequences using RNN, backpropagation using Rnns, prediction of time-series, etc.

Learning Objective: A GPU is a microprocessor which is capable of running various computations simultaneously and minimizes the time taken to train Artificial Neural Networks (ANN).

Topics:

    • Introduction to GPU’s
    • Comparison between GPUs and CPUs
    • Techniques to be used in forwarding pass and backward pass
    • Gpu constituent with concurrent hardware and simpler core.

Learning Outcome: Upon the completion of this chapter you will have gained practical knowledge in Handling multiple tasks associated with GPU.

Learning Objective:  A restricted Boltzmann machine (RBM) is a generative stochastic artificial neural network which has got the ability to learn probability distribution on the given input.

Topics:

    • Introduction to RBM
    • using RBM for collaborative filtering
    • Introduction to autoencoders
    • Applications of autoencoders

Learning Outcome: By the end of this chapter you will gain hands-on exposure in using RBM for Collaborative filtering and gain knowledge of applications of autoencoders.

Learning Objective: Deep learning has become an integral part of every business organization and offers a wide range of solutions to complex issues. In this module, you will learn the various applications of Deep Learning and their implementation process.

Topics:

    • Image processing
    • Speech recognition
    • video analytics.

Learning Outcome: By the end of this module you will have gained the complete knowledge of various applications of AI.

Learning Objective: A Chatbot is a popular software application that is being used for online chat conversation and provides the required information to the users.

Topics:

    • IBM Watson
    • Open–closed domain bots
    • Microsoft’s Luis
    • Sequence to sequence model
    • Generative model

Learning Outcome: By the end of this chapter you will have gained in-depth knowledge of various types of AI bots available in AI.

Modes of Training

Self-Paced Learning

Online Instructor LED

Corporate Solutions

AI Certification In Hyderabad

Certification adds great value to your career. Organizations across Hyderabad are looking for individuals with the right AI skills to make the most out of this competitive business world.  Our AI training and certification program In Hyderabad will help you clear the appropriate AI certification exam. Acquiring certification will set you apart from your peers and helps you in a world where opportunities are limitless.

At CourseDrill you will get all the guidance and assistance from AI industry experts to clear your AI certification exam. At the end of the online AI course, you will also receive a course completion certificate from CourseDrill and this certificate is well-recognized across all the top MNC’s.

AI Projects

With an aim to deliver practical Artificial intelligence online training in Hyderabad we have included two live projects in this training program. Our expert trainers will help you implement real-time live projects during the training which gives you hands-on exposure.

FAQs On AI Training in Hyderabad

With an aim to make the learning process simple and flexible, CourseDrill offers two different modes of training which are Instructor-led training and Self-paced training. Apart from this CourseDrill also offers corporate training to the organizations across the world for updating their workforce on the latest technologies. 

Yes, upon the successful completion of the course you will get all the assistance required to get into your dream job from our placement department. CourseDrill has partnered with 1000+ companies all around the globe and we share your resume with all these companies for exposing you to the right opportunities. Apart from this, you will also receive extra benefits from the expert team which includes interview preparation, resume building, etc.

At CourseDrill we follow a practical approach in designing all the online courses.  Each course consists of two latest and easy to understand projects. Working with projects during the training period will help you apply your theoretical knowledge into real-time applications. This process enhances your knowledge and skill-set to handle real-world projects.

Yes, absolutely. With an aim to provide the financial flexibility to the learners, CourseDrill offers two instalment options. When you sign up for the course you are requested to pay half of the course fee and remaining amount you can pay when half of the course finishes.

Yes, CourseDrill offers you an option to attend the demo. If you are not satisfied with a trainer we will arrange a demo with another AI trainer.

No! Our job assistance program has been designed only to help you with the potential job opportunities that suit your profile. The hiring process completely depends on your performance during the interview and companies requirements.

Yes, each course offered by CourseDrill is associated with some specific discounts. When you make an enquiry for a course our coordinator will explain to you with a complete course fee structure along with discounts.

Reviews

Raju
Raju
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Priya
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