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Artificial Intelligence Course Content

Ace Web Academy provides competent training in Hyderabad on Deep Learning doing which you will be able to work on that wonderful arm of Artificial Intelligence. You will get to learn artificial neural networks and also about supervised and unsupervised learning. Python is a very important technology in machine learning which is also covered.

python 2Python

Python, like other computer languages, has gained quite a name. Python has more fame when it comes to implementing and working with AI. It has 57% of the developer's votes. Python's multiple libraries make it efficient for data analysis. But talking about performance, C++ tends to outperform Python.

Machine learning 2 Machine learning

Machine learning is an application of artificial intelligence (AI) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed. Machine learning focuses on the development of computer programs that can access data and use it learn for themselves.

Data Exploration 2 Data Exploration

Data Exploration is an approach similar to initial data analysis, whereby a data analyst uses visual exploration to understand what is in a dataset and the characteristics of the data. ... Exploration should come before any statistical analysis and machine learning model.

deep learning 2 Deeplearning

Deep learning is a function belonging to artificial intelligence (AI) designed to work similarly to the human brain while processing data. It also comes in use for creating patterns in decision making. Deep learning is often reffered as Deep neural learning or Deep neural network.

ai

Career Opportunities in Artificial Intelligence - AI

AI training in Hyderabad by Ace Web Academy focuses on preparing the students to get a complete understanding with real-time projects that will help them get 100% success in interviews.

Some of the career opportunities include Game programmer, Algorithm specialist, Robotic scientist, Computer scientist, Software engineer, Research scientists, Data Engineer (Predictive modeling and Machine Learning), etc.

With such incredible career opportunities in AI, enroll yourself with the best institute with highly-skilled trainers today!

Who can undergo AI certification?

  • Ecommerce, Analytics, Search Engine Optimization and Data Science Personnel.
  • Freshers and Software Engineers looking for a domain change.

Pre-Requisite for learning the course

Getting certified as an AI specialist or learning about this technology does not require any specific or additional degree. Having knowledge on any of the following concepts will be an added advantage-

  • Knowledge of mathematical concepts of probability, algebra, statistics, logic, calculus and algorithms, etc.
  • A fair idea about different programming languages and / or coding.
  • Cognitive science theory.

Your enthusiasm to learn the technology and a fair understanding of certain concepts is the only prerequisite overall.

Kickstart your career and give it a boost with AI training course from Ace Web Academy today!

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GUEST FACULTY

Get trained by the best minds in the industry and expedite your career options.
  • image 8yr
    Exp

    Mahinder

    Sr.AI Engineer / Trainer
  • image 6yr
    Exp

    AKhil Varma

    Sr.AI Specialist / Trainer
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    Exp

    Prasanth

    Sr.Data Scientist / Trainer

About Course

AI or Artificial Intelligence has revolutionized the way business is conducted worldwide. With increasing need to migrate onto cloud platforms and businesses becoming more automated, AI has created a unique space to get jobs completed with higher productivity, lowered costs and build scalable business solutions.

As reported by PWC a while back, ‘nearly 50% of human jobs will be taken away by AI in the coming 5 years.’ With such a surge in the need of upgrading ourselves with this constantly evolving technology, there is a huge demand for AI specialists and AI Engineers in many companies around the world.

Ace Web Academy (AWA) AI training course is designed to help students lay a strong foundation in the concepts of AI and build their skills in alignment with the current industry standards. Constant upgradation in the course is what makes our trainings more unique. We help you to cover popular deep learning algorithms, convolutional networks, BatchNorm, RNNS, etc. Each of the modules in the course involved deep theoretical knowledge and case studies of autonomous driving, healthcare, natural language processing (NLP), etc.

Get yourself future ready with AI Training @ Ace Web Academy Institute in Hyderabad!

Artificial Intelligence Training in Hyderabad Start getting noticed by top MNCs of the world with advanced Artificial Intelligence training from Ace Web Academy only at Hyderabad. We impart deep learning of artificial neural networks along with supervised and unsupervised learning methodology. We provide theoretical and practical learning of Python technology, advanced Python programming, predictive analysis, etc. Become a Machine Learning and AI expert today!

Benefits of AI Course

  • Approx. 50,000 Jobs on AI in 2019
  • AI specialists are able to draw salaries ranging anything between $300,000 to $500,000.
  • Nearly 57% of the business buyers will depend on AI experts to enable a much better customer engagement experience by the end of 2020.
  • Going by the current trend analysis, the world could see a surge of over 2.3 million job opportunities by the end of 2020 in the AI profession.
  • The AI global market share is expected to grow to a whopping $5.05 billion dollar industry by 2020.

Module 1-Introduction

  • Introduction to Artificial Intelligence
  • Requirements/ Pre requisites to work with Artificial Intelligence
  • Knowledge Representation
  • Knowledge Reasoning
  • Methodologies
  • Software Lifecycle
  • Applications
  • Role of Data science in Artificial Intelligence
  • Artificial Intelligence vs. Data Science
  • Role of Mathematics
  • Role of Statistics
  • Role of Machine Learning and Deep learning with algorithms in AI

Module 2-Installations

  • Environment Setup
  • Tools required to work with Artificial Intelligence and Data Science

Module 3-Python programming

  • Introduction to Python
  • Scope for Python in Artificial Intelligence
  • Tools Required and environment setup
  • Syntax, Operators
  • Data Types
  • Control Statements
  • Functions
  • Data Structures such as Lists, Sets, Tuples, Strings, Dictionaries,
  • OOPS Concept

Module 4-Libraries

  • Tensor flow
  • Theano
  • PyTorch
  • OpenCV
  • Accord.NET etc.,

Note: Installations and work end to end as per requirements to work with different libraries.

Module 5-Artificial Neural Network

  • Plan of Attack
  • The Neuron
  • The activation Functions
  • Workflow
  • Gradient Descent
  • Stochastic Gradient Descent
  • Back Propagation

Module 6-Convolutional Neural Network

  • Introduction
  • Softmax and Cross Entropy
  • Plan of Attack
  • The ReLU Layer
  • Pooling
  • Flattening
  • Full Connection

Module 7-Auto Encoders

  • Introduction
  • Stacked Auto Encoders
  • Deep Auto Encoders
  • A Note on Biases
  • Training on Auto Encoders
  • Over Complete Hidden Layers
  • Sparse Auto Encoders
  • Denoising Auto Encoders
  • Contractive Auto Encoders
    • Variational Auto Encoders
    • Introduction
    • Reparameterization

Module 8- Implementing the CNN-VAE

  • Introduction
  • Parameters
  • Variables
  • Building the encoder part of VAE
  • Building the V part of VAE
  • Building the decoder part of VAE
  • Implementing the training operations
  • Code Section
  • Keras Implementation

Module 9-Recurrent Neural Network

  • Introducing
  • The vanishing gradient problem
  • LSTMs
  • LSTMs Practical Institution
  • LSTM Variations

Module 10-Mixture Density Network

  • Introduction to MDN
  • Introduction to MDN-RNN
  • VAE + MDN-RNN Visualization

Module 11-Implementation of MDN-RNN

  • Training Operations
  • Code Section
  • Keras Implementation
  • Initializing Parameters
  • Initializing Variables
    • Building the RNN – Gathering the parameters
    • Creating an LSTM cell with dropout
    • Setting up the Input, Target and Output of the RNN
    • Getting the Deterministic Output of the RNN
    • Getting the Input, Hidden Layer and Output of the MDN
    • Getting the MDN parameters
  • Implementing the Training Operations

WORKING ON DATA SCIENCE PROJECTS

  • Examine your problem
  • Draw up your data (feature extraction, feature engineering,raw data, etc.)
  • Spot-check a set of algorithms
  • Examine your results
  • Double-down on the algorithms that worked best

Note: Deals ‘n’ number of real time projects

WORK ENVIRONMENT

  • Status meetings
  • Meetings with stockholders
  • Participating in gathering requirements
  • Working on client projects
  • Coordinating team

System Requirements

  • Ram 4GB Min
  • Hard Disk 250GB
  • Processor i3 Min

Course Highlights

  • A Dedicated Portal For Practicing.
  • 1-1 Mentorship
  • Internship Offers for Freshers.
  • Weekly Assignments.
  • Weekly Doubt Sessions
  • Advanced Curriculum
  • Certificates On successful Completion of Project
  • Resume Preparation Tips
  • Interview Guidance And Support.
  • Dedicated HR Team for Job Support And Placement Assistance.

Course Details

  • eligible eligible Eligibility Anyone Can Join
  • duration duration Duration 3-4 Months
  • duration-2 duration-2 Batch Timing 2 Hrs per day
  • batch batch Project 15 Days

Ace Web Academy AI Course Certification

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AI Course Certifications

This course is clearly designed to help students clear AWA Deep Learning Certification Exam. The complete training course content is created by industry professionals and experts in the field of AI and Machine Learning. You will be given regular assignments and real-time project training to help you master the subject and overcome real world scenarios, boosting your career immensely.

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