ARTIFICIAL INTELLIGENCE ENGINEER COURSE

The Artificial 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.

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.

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

• 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.

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.

DataMites  is an authorized institute by the International Association of Business Analytics Certifications (IABAC™) providing global data science certification courses

• An authorized institute by the International Association of Business Analytics Certifications (IABAC™) providing global data science certification courses
• Founded by Data Science/Analytics Experts, who have deep roots in providing management consulting to major companies in India, Europe and USA.
• Delivered 20+ sessions for Senior Executives of tier-1 companies in India including, CTS, TVS Group, Rane Group etc.,
• In collaboration with CII - Confederation of Indian Industry, conducted workshops for Senior executives in India.
• DataMites has in-house faculties who are from elite universities, IIM’s and PH.Ds in Data Science. 

• 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

The trainers for the Artificial Intelligence Engineer course have experienced Data Scientists, AI and Machine Learning experts who possess good knowledge of the subject matter.

No. Coding is not required to learn Artificial Intelligence Engineer courses.

You can enrol for the Artificial Intelligence Engineer Course by visiting our website, and doing the payment through Debit/Credit card, Visa. The receipt for the payment done will be sent to your registered E-mail id.

Yes. You will be given a certificate after the completion of the Artificial Intelligence Engineer course.

You will receive certification from IABAC® - International Association of Business Analytics Certification.

This course is perfectly aligned to the current industry requirements and gives exposure to all the latest techniques and tools. The course curriculum is designed by specialists in this field and monitored and improved by industry practitioners on a continual basis.

No, the exam fees are already included in the course fee and you will not be charged extra.

Course fee needs to be paid in one payment as it is required to block your seat for the entire course as well as book the certification exams with IABAC™. In case, if you have any specific constraints, your relation manager at DataMites™ shall assist you with part payment agreements

DataMites™ has a dedicated Placement Assistance Team(PAT), who work with candidates on an individual basis in assisting for the right Data Science job.

You get a 100% refund training fee if the training is not to your satisfaction but the exam fee will not be refunded as we pay to accreditation bodies. If the refund is due to your availability concerns, you may need to talk to the relationship manager and will be sorted out on case to case basis