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  • 10 Capstone & 1 Client Project
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The entire training includes real-world projects and highly valuable case studies.

IABAC® certification provides global recognition of the relevant skills, thereby opening opportunities across the world.

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Why DataMites Infographic


  • 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





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 recognised 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.

The Artificial Intelligence course helps you to gain a sound knowledge of Machine Learning, Deep Learning, Programming Languages like ‘Python’ and ‘R’.


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. 

Artificial intelligence (AI) refers to the use of computers and technology to mimic human intelligence and perform tasks that typically require human cognitive abilities, such as problem-solving and decision-making.

The term "artificial intelligence" was first introduced by John McCarthy, a renowned computer science professor at Stanford University.

  • Robotics: AI-powered robots that can perform tasks and interact with their environment.
  • Healthcare: AI systems used for disease diagnosis, personalized treatment, and medical image analysis.
  • Data Security: AI algorithms that detect and prevent cyber threats and protect sensitive information.
  • Gaming: AI opponents and game characters that exhibit intelligent behavior and adapt to player actions.
  • Finance: AI algorithms used for fraud detection, risk assessment, and automated trading.
  • Digital Media, Social Media: AI-powered recommendation systems and content analysis.
  • Travel: AI chatbots for customer support and AI-powered travel planning.
  • Automotive Industry: AI-enabled self-driving cars and advanced driver assistance systems.
  • Customer Service: AI chatbots and virtual assistants for customer interaction.
  • Facial Recognition: AI algorithms for biometric identification and authentication.

Learning Artificial Intelligence offers numerous benefits as it is a rapidly growing field with vast potential. AI technologies like intelligent voice assistants, self-driving cars, and robotic process automation have gained significant prominence. The demand for AI professionals is high, and it opens doors to lucrative career opportunities.

Upon completing Artificial Intelligence Training, individuals can explore various job roles, including:

  • Big Data Engineer
  • Business Intelligence Developer
  • Data Scientist
  • Machine Learning Engineer
  • Research Scientist
  • AI Data Analyst
  • Product Manager
  • AI Engineer
  • Robotic Scientist
  • Data Analyst

To excel in learning Artificial Intelligence, it is beneficial to have skills in computer programming, statistics, data modeling, data validation, and design. Non-technical skills such as critical thinking, curiosity, and a strong interest in math and science are also important.

A wide range of AI software development tools and platforms are accessible in the market, offering various capabilities for creating and implementing AI applications. Notable examples include Microsoft Azure AI Platform, Google Cloud AI Platform, IBM Watson, Infosys Nia, Dialog Flow, and BigML. These technologies furnish developers with frameworks and services that facilitate the development, deployment, and management of AI-powered solutions. By leveraging these advanced tools, developers can harness the potential of artificial intelligence to create innovative applications across diverse domains.

An AI Engineer is a professional who specializes in designing, developing, and implementing artificial intelligence systems and technologies to solve complex problems and create intelligent solutions.

The job responsibilities of an AI Engineer include designing and implementing AI models using deep learning neural networks and machine learning algorithms, collaborating with various stakeholders, conducting statistical analysis, automating processes, and translating machine learning models into usable APIs.

The key skills for AI Engineers include proficiency in mathematics, programming, analytics, business intelligence, communication, collaboration, and critical thinking.

According to

  • The Artificial Intelligence Engineer Salary in United States is USD $1,05,634 per year.
  • The national average salary for an Artificial Intelligence Engineer in UK is £52,712 per annum.
  • The national average salary for an Artificial Intelligence Engineer in India is INR ₹9,44,075 per year.

The Artificial Intelligence Engineer Certification is important because it validates and demonstrates your expertise and skills in the field of artificial intelligence. It serves as a recognized credential that employers can trust, indicating that you have the necessary knowledge and proficiency to work on AI projects and contribute effectively to the industry. Having an AI Engineer Certification can enhance your career prospects, open up job opportunities, and increase your earning potential. It also showcases your commitment to continuous learning and professional development in the dynamic field of artificial intelligence.

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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

DataMites™ provides loads of study materials, cheat sheets, data sets, videos so that you can learn and practice extensively. Along with study materials, you will get materials on job interviews, new letters with the latest information on Data Science as well as job updates.

To learn Artificial Intelligence effectively, it is advisable to enroll in DataMites' Artificial Intelligence Course, which provides comprehensive training to prepare you for future employment in the field.

DataMites offers the following Artificial Intelligence Certifications:

  • Artificial Intelligence Engineer
  • Artificial Intelligence Expert
  • Certified NLP Expert
  • Artificial Intelligence for Managers
  • Artificial Intelligence Foundation

Prerequisites for an Artificial Intelligence Engineering course include basic knowledge of statistical tools and methodologies, programming skills in languages like Python, and a curious mindset.

The Artificial Intelligence Engineer course has a duration of 11 months, with training sessions available on weekdays and weekends.

The Artificial Intelligence Engineer program is suitable for graduates, newcomers interested in pursuing a career in AI, professionals in analytics looking to transition into AI roles, and team leaders or senior analysts seeking to enhance their skills.

By enrolling in online Artificial Intelligence Engineer training from DataMites, you can benefit from their accreditation by the International Association of Business Analytics Certification (IABAC), access to real-world projects and case studies, an IABAC certification upon completion, and the opportunity for an internship with Rubix, a global technology company.

The fee for the online Artificial Intelligence Engineer Training is as follows:

  • USA: $2,890 (discounted price: $1,910)
  • India: INR 154,000 (discounted price: INR 101,745)
  • UK: GBP 2,430 (discounted price: GBP 1,521)

DataMites provides classroom training in Bangalore. However, arrangements for classroom training in other locations can be made on-demand, depending on the availability of other candidates from the same location.

Trainers at DataMites are certified and highly qualified professionals with extensive experience in the industry and expertise in the subject matter.

The Flexi-Pass offered by DataMites for the Artificial Intelligence Engineer training allows participants to attend sessions related to any queries or revision they may require for a duration of 3 months.

Upon completion of the training, participants will receive an IABAC certification, which is globally recognized for relevant skills.

Yes, after completing the course, DataMites will issue a Course Completion Certificate.

In case you miss a session, you can contact your instructors to schedule a makeup class. For online training, all sessions are recorded and uploaded for participants to catch up at their own pace.

Yes, DataMites provides a free demo class to give participants a brief idea of the training methodology and what to expect from the course.

Yes, DataMites has a dedicated Placement Assistance Team (PAT) that provides placement facilities to participants upon completion of the course.

The DataMites Placement Assistance Team (PAT) offers services such as job connections, resume creation, mock interviews with industry professionals, and interview question discussions to help participants kickstart their careers in Artificial Intelligence.

The career mentoring sessions conducted by the Placement Assistance Team (PAT) aim to guide participants in understanding the various career options available in Artificial Intelligence, the challenges they may face as newcomers, and strategies to overcome them. Industry experts provide insights and help participants explore their career paths.

Yes, participants are encouraged to make the most of their training sessions and can request additional support sessions for further clarification.

DataMites accepts payments through various methods, including cash, net banking, checks, debit cards, credit cards, PayPal, Visa, Mastercard, and American Express.

The DataMites Placement Assistance Team(PAT) facilitates the aspirants in taking all the necessary steps in starting their career in Data Science. Some of the services provided by PAT are: -

  • 1. Job connect
  • 2. Resume Building
  • 3. Mock interview with industry experts
  • 4. Interview questions

The DataMites Placement Assistance Team(PAT) conducts sessions on career mentoring for the aspirants with a view of helping them realize the purpose they have to serve when they step into the corporate world. The students are guided by industry experts about the various possibilities in the Data Science career, this will help the aspirants to draw a clear picture of the career options available. Also, they will be made knowledgeable about the various obstacles they are likely to face as a fresher in the field, and how they can tackle.

No, PAT does not promise a job, but it helps the aspirants to build the required potential needed in landing a career. The aspirants can capitalize on the acquired skills, in the long run, to a successful career in Data Science.

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