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  • IABAC®  Global Certification
  • 5-Month | 350 Learning Hours
  • 100-Hour Live Online Training
  • 20 Capstone & 1 Client Project
  • 365 Days Flexi Pass + Cloud Lab
  • Internship + Job Assistance

Blended Learning

Self Learning + Live Mentoring


  • Self Learning + Live Mentoring
  • IABAC®  Global Certification
  • 1 Year Access To Elearning
  • 20 Capstone & 1 Client Project
  • Job Assistance
  • 24*7 Learner assistance and support

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  • Instructor-Led & Self-Paced training
  • Customized Learning Options
  • Industry Expert Trainers
  • Case Study Approach
  • Enterprise Grade Learning
  • 24*7 Cloud Lab


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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


  • Installing TensorFlow using Docker
  • Installing Matplotlib
  • Hello World applicatin with TensorFlow
  • Basic Statistics and Exploratory Analysis
  • Descriptive summary statistics with Numpy
  • Summarize continous and categorical data
  • Outlier analysis
  • Machine learning essentials
  • Data representation and features
  • Distance metrics
  • Supervised learning
  • Unsupervised learning
  • Reinforcement learning
  • Theano, Caffe, Torch, CGT, and TensorFlow
  • Representing tensors
  • Creating operators and excuting with sessions
  • Introduction Jupyter notebook for TensorFlow coding
  • TensorFlow variables
  • Visualizing data using TensorBoard
  • Regression problems
  • Linear regression applications
  • Regularization
  • Available datasets
  • Coding Linear Regression with TensorFlow - Case study
  • Classification problems
  • Using linear regression for classification
  • Using logistic regression (including multi-dimensional input)
  • Multiclass classifiers (such as softmax regression)
  • Hands on Classificatin with TensorFlow
  • Traversing files in TensorFlow
  • K-means clustering
  • Clustering using a self-organizing map
  • Introduction to Neural Networks
  • Batch training
  • Variational, denoising and stacked autoencoders
  • Concept of Reinforcement Learning
  • Simple model applying Reinforcement Learning in TensorFlow
  • Advantages and disadvantages of neural networks
  • Convolutional neural networks
  • The idea of contextual information
  • Recurrent neural networks
  • Real world predictive model - example
  • Case study - Stock Market Analsis
  • Hands on Coding in TensorFlow





In the world of Big Data, where data comes in high volume, high velocity, and variety, making a data-driven business decision become very crucial for business success. Machine Learning models play a significant role in learning algorithms, in turn, these big data into valuable insights. Tensorflow is a relatively new open source machine learning library from Google which simplifies creating complex machine learning models to a great extent, by hiding all the complexities, mathematics and algorithms.

This course - Machine Learning with Tensorflow is designed to explore Tensorflow from scratch and building Machine Learning models with real-world data.


In the world of Big Data, where data comes in high volume, high velocity, and variety, making a data-driven business decision become very crucial for business success. Machine Learning models play a significant role in learning algorithms, in turn, these big data into valuable insights. Tensorflow is a relatively new open source machine learning library from Google which simplifies creating complex machine learning models to a great extent, by hiding all the complexities, mathematics and algorithms.

This course - Machine Learning with Tensorflow is designed to explore Tensorflow from scratch and building Machine Learning models with real-world data.

  • Introduce Machine Learning
  • Machine Learning with Tensorflow
  • Tensorboard visualization
  • Hands-on coding of Neural Networks with Tensorflow
  • Applying ML with Tensorflow on case study
  • Machine Learning essential knowledge is required.
  • Basic Python Programming is required.
  • Knowledge in Statistics is recommended

In recent years, Machine Learning has taken over a mainstream business and evolved a career track by itself. A quick search in job portals reveals about 20,000 Machine Learning job opportunities on a daily basis in the USA alone. This course explores the Tensorflow platform through designing practical Machine Learning algorithms for real-world cases and visualizing them with Tensorboard.

Tensorflow from Google, gaining popularity and a huge community of developers since its launch in Nov 2015. Tensorflow is the most preferred for deep learning applications and Machine learning applications running huge data. The advantage of hosting the production level Machine Learning application directly to Google Cloud is persuading many Machine Learning experts to increase choosing TensorFlow.

This course is recommended for candidate pursuing career in Data Science as Tensorflow is becoming a leading platform for Machine Learning


  • Data Scientist wanting to adopt to new technology - Tensorflow
  • Data science/ analytics professionals aspiring career as Tensorflow specialist
  • Candidates pursuing Data Scientist tracks

Machine Learning is gaining popularity in all kinds of domains and Tensorflow is perceived as the major platform for ML. The advantage of this course is that you get a head start as this is a new technology with huge market demand.

At DataMites™, we truly believe and very excited about this big wave of Data Science. DataMites™ work with globally renowned Machine Learning experts in designing as well delivering training course. There are millions of jobs and business opportunities in Data Science across the globe as of today and this is only going to increase exponentially in the coming years.

DataMites is founded by a group of passionate Data Science evangelists with decades of experience in Analytics, big data and Data Science working with fortune 100 companies, across the globe. The mission of DataMites™ is to enable data science professionals with strong data science skills aligned market requirements and be a part of this phenomenal Data Science era.


  • PASSIONATE: We are passionate about enabling professionals with best practice Data Science skills
  • ACCREDITED: DataMites™ is accredited with "International Association of Bussiness Analytics Certifications (IABAC™)", aligning the syllabus with global market requirements
  • HANDS-ON PROJECTS : On course completion, worthy candidates are involved in consulting assignments at building block levels to provide real-time exposure, thus supporting them to gain the confidence to work in real-world Data Science projects
  • JOB ASSISTANCE: A dedicated team, Placement Assistance Team (PAT), is tasked to assist candidates in preparing for the first Data Science job and mapping the job requirements to the  individual candidate profile.
  • FLEXIBLE LEARNING: DataMites™ provides flexible learning options from traditional classroom to Virtual classroom, Instructor-led online and self-learning.
  • LIBRARY: A Data Science library with a collection of valuable Data Science books and publications, assisted check-in/check-out options.
  • DATA SCIENCE LAB: Access to Cloud Data Science lab with popular platforms, R, Python, Tensorflow etc.,

Machine Learning refers to a subset of artificial intelligence where machines are capable of imitating intelligent human behavior.

Machine Learning has become prevalent across various industries, with virtually every business relying on data-driven insights for decision-making.

Machine Learning holds great value for businesses as it enables them to extract insights from data, make better decisions, and gain a competitive edge.

Some popular Machine Learning tools include SAS, Apache Hadoop, Tableau, BigML, Knime, RapidMiner, Excel, Apache Flink, and Power BI.

Machine Learning algorithms can be categorized into supervised, semi-supervised, unsupervised, and reinforcement learning.

Machine Learning has a wide range of applications in fields such as healthcare, finance, social media, facial and voice recognition, online fraud detection, and biometrics. The machine learning market is projected to reach $8.81 billion by 2025.

Job opportunities in Machine Learning include roles such as data scientist, machine learning engineer, NLP scientist, business intelligence developer, software engineer, computational linguist, and more.

Anyone, from beginners to experienced professionals, who is interested in learning Machine Learning can enroll in certification programs. Those seeking to enter the field of data analytics or build a career in it can benefit from these courses.

Prerequisites for learning Machine Learning include a strong foundation in applied mathematics, basics of computer science, communication skills, knowledge of NLP and neural networks, and problem-solving abilities.

Learning Machine Learning is no more challenging than mastering any other set of programming libraries. The key lies in applying the algorithms effectively rather than inventing them. With proper guidance, Machine Learning can be easily learned, paving the way for a successful career.

Artificial intelligence (AI) is a field of computer science that aims to develop systems capable of human-like thinking. Machine Learning is a subset of AI, specifically focusing on machines learning from data and acquiring knowledge that humans find challenging.

Data Science is a field that uses scientific methods to extract insights from data. Machine Learning is a set of techniques within Data Science that enables computers to learn from data and make predictions or decisions.

Yes, a fresher can find job opportunities in Machine Learning by acquiring the necessary skills. Building a successful career in machine learning as a fresher requires a proactive approach, continuous learning, and networking with experienced professionals.

The average annual salary of a Machine Learning Engineer is around  $156,885 in the United States, £60,885 in UK, and INR ₹8,47,730 in India. (Indeed)

Machine Learning certifications hold importance in the current technology-driven world as they validate your expertise in the field and make you a desirable candidate for companies seeking Machine Learning professionals.

Machine Learning enables computers to analyze large volumes of data and generate data-driven recommendations and decisions, leading to more accurate and efficient outcomes.

TensorFlow is an open-source machine learning framework developed by Google. It provides a platform for building and deploying machine learning models, particularly deep learning models. With its extensive library of tools and resources, TensorFlow has become popular among researchers and practitioners in the field of machine learning.

Yes, learning TensorFlow is worth it. As one of the most widely used machine learning frameworks, TensorFlow offers a vast ecosystem of resources, community support, and industry adoption. By learning TensorFlow, you gain the ability to develop and deploy complex machine learning models, opening up various opportunities in the field.

TensorFlow simplifies machine learning by providing pre-trained models, datasets, and high-level APIs. It is widely adopted by researchers and students for studying and developing machine learning models, making it a popular choice in the field.

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DataMites™ provide flexible learning options from traditional classroom training, lastest virtual live classroom to distance course. Based on your location preference, you may have one or more learning options

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

All certificates can be validated with your unique certification number at portal. You also get candidate login at , where can find your test results and other relevant validation details.

The results of the Exam are immediate, if you take online test at portal. The certificate issuance, as per IABAC™ terms, takes about 7-10 bussiness days for e-certificate.

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 constrains, 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 individual basis in assisting for right Data Science job.

You get 100% refund training fee if you 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 latest information on Data Science as well as job updates.

DataMites offers certifications in various Machine Learning courses, including Machine Learning Expert, Machine Learning Foundation, Machine Learning Tensorflow, Machine Learning with R, and Machine Learning with Python.

The objectives of the Machine Learning - Tensorflow course include introducing machine learning, understanding machine learning with Tensorflow, utilizing Tensorboard for visualization, hands-on coding of neural networks using TensorFlow, and exploring real-life case studies.

The Machine Learning - Tensorflow Course covers the usage of TensorFlow, an open-source library for artificial intelligence, to create models using data flow graphs. It encompasses various applications such as classification, comprehension, observation, discovery, prediction, and creation. The course teaches students how to build machine learning models and algorithms using real-world data.

The ML - Tensorflow Course covers comprehensive machine learning topics, high-level theory of popular machine learning algorithms, hands-on coding of techniques on well-known datasets, and access to the International Association of Business Analytics (IABAC) framework for acquiring knowledge.

The ML - Tensorflow Course provides a head start in the market, considering TensorFlow's prominence and the growing demand for machine learning. It equips learners with the skills required for a career in machine learning, especially with the market dominance of TensorFlow.

The ML Tensorflow Course is suitable for data scientists looking to specialize in TensorFlow, individuals interested in pursuing a career in machine learning or data science, and those aiming to gain expertise in TensorFlow.

To enroll in the DataMites Machine Learning - Tensorflow training, candidates should have essential knowledge of machine learning, programming skills in Python, and preferably a background in statistics.

DataMites is an accredited global institute for Machine Learning certified by the International Association of Business Analytics Certification (IABAC). With over 25,000 enrolled students, DataMites offers a comprehensive learning method consisting of self-study materials, live online training, real-world projects, and IABAC certification. Additionally, there are internship opportunities with AI company Rubixe, and the training is delivered by certified trainers with industry expertise.

The fee for Machine Learning Tensorflow Training varies by location:

  • USA: $790 (Discounted price: $634)
  • India: INR 48,000 (Discounted price: INR 38,848)
  • UK: GBP 760 (Discounted price: GBP 368)

DataMites provides classroom training in Bangalore. However, on-demand classroom training in other locations is available based on the availability of candidates from those specific areas.

DataMites ensures trainers are certified, highly qualified, and possess decades of industry experience. The trainers have expertise in the subject matter and are committed to delivering high-quality training.

DataMites offers flexible learning options, including live online training, self-learning methods, and classroom training, allowing learners to choose the most suitable option based on their availability.

Flexi-Pass at DataMites allows learners to attend any related sessions or seek revision support for a period of three months after the training.

DataMites issues an IABAC certification, providing global recognition of the acquired skills in Machine Learning upon completion of the training.

After successfully finishing the course, DataMites will provide learners with a Course Completion Certificate as proof of their completion.

DataMites has a dedicated Placement Assistance Team (PAT) that offers placement facilities to learners after course completion.

DataMites' Placement Assistance Team (PAT) assists learners with various services, including job connections, resume creation, mock interviews with industry professionals, and discussing interview-related questions.

DataMites follows a case study approach to learning, which involves theory, hands-on practice, case studies, project work, and model deployment.

Yes, DataMites encourages learners to make the most of their training sessions by offering support sessions for additional clarification and assistance.

DataMites accepts various payment 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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