Affiliated to National Board of Vocational Training Education, Government of India.
Affiliated to National Board of Vocational Training Education, Government of India.
47%

Certified Artificial Intelligence Engineer

52,900.00

The Artificial Intelligence Engineer course offers the knowledge and skills that are required to become a successful AI Engineer. Precisely, the course talks about the ways to find a solution to complex problems, by employing deep learning, machine learning, computer vision, and NLP methods.

  • IBM® & IABAC® Certification
  • 6-Month | 500 Learning Hours
  • 100-Hour Live Online Training
  • 10 Capstone & 1 Client Project
  • 365 Days Flexi Pass + Cloud Lab
  • Internship + Job Assistance

Artificial Intelligence has been successful in bringing revolution across industries. It has become ubiquitous and is greatly contributing to change. The idea of incorporating human intelligence into machines has ushered in curiosity for further experimentation. Today AI is recognized as a branch of computer science and is being widely used in areas like Business, Medicine, Education, Customer Service, etc. Apart from technology, AI is now identified as a way out, for dealing with complexities.

Certified Artificial Intelligence Engineer Course Module

  • Introduction To Artificial Intelligence (AI)
  • AI Data Strategy
  • AI Ethics
  • Issues And Concerns
  • AI Challenges
  • Use Cases And Adoption
  • Data Science And ML Introduction
  • Mathematics For ML
  • Learning Methods
  • Popular ML Algorithms
  • Building Classification Models
  • Building Regression Models
  • Beyond Machine Learning
  • Tensorflow Introduction
  • Tensorflow Basic Concepts
  • Installation And Basic Operations In Tf 2.X,Tf 2.0 Eager
  • Mode, Tensorflow 2.X – Keras
  • Core Learning Algorithms Introduction
  • Regression With Tensorflow
  • Classification With Tensorflow
  • Structure Of Neural Networks,
  • Neural Network – Core Concepts
  • Feed Forward Algorithm
  • Backpropagation
  • Building Neural Network From Scratch Using Numpy
  • Introduction To Neural Networks With Tf2.X
  • Simple Deep Learning Model In Keras (Tf2.X)
  • Building Neural Network Model In Tf 2.0 For Mnist Dataset
  • Convolutional Neural Networks (Cnns) Introduction
  • Cnns With Keras
  • Transfer Learning In Cnn
  • Style Transfer, Flowers Dataset With Tf2.X
  • Examining X-Ray With Cnn Model
  • Rnn Introduction
  • Sequences With Rnns
  • Long Short-Term Memory Networks (Lstm Rnns) And Gru
  • Examples Of Rnn Applications
  • Natural Language Processing Introduction,
  • NLP With Rnns
  • Creating Model
  • Transformers And Bert
  • State Of Art Nlp And Projects
  • Markov Decision Process
  • Fundamental Equations In R,
  • Model-Based Method
  • Dynamic Programming Model Free Methods
  • Architectures Of Deep Q Learning
  • Deep Q Learning
  • Policy Gradient Methods
  • Gan Introduction
  • Core Concepts Of Gan
  • Building Gan Model With Tensorflow 2.X
  • Gan Applications
  • Amazon Web Services (Aws)
  • Deploying Deep Learning Models Using Aws Sagemaker

What are the objectives of Artificial Intelligence Engineer Training?

The Artificial Intelligence Engineer course helps to get a better understanding of Statistics for Data Science, Machine Learning, Deep Learning, Programming Such as Python and Tensor Flow.

What are the prerequisites for an Artificial Intelligence Engineer Course?

Some of the prerequisites for pursuing the Artificial Engineer course are:-

  • Knowledge of basic statistical tools and techniques.
  • Basics of programming languages such as Python
  • Problem-solving skills.
  • Curious mind

Who should opt for the Artificial Intelligence Engineer Course?

  • Graduates/Freshers who wish to make a career in Artificial Intelligence.
  • Professionals in the field of analytics, who wish to make a career switch to AI.
  • Senior Analysts and Team Leaders.

What are the advantages of learning Artificial Intelligence for Engineers Course?

Artificial Intelligence has gained importance across sectors and is instrumental in bringing change. Medical, Banking and Finance, Manufacturing, Retail, Hospitality, every sector of the economy uses AI. This can be attributed to the problem-solving capability in AI. Pursuing the Artificial Intelligence for Engineers course

  • Helps to find solutions to complex real-world problems by using Machine Learning and Deep Learning techniques.
  • Take important decisions in critical areas.
  • Maximise revenue and Goodwill of the company.

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