Live Virtual

Instructor Led Live Online


  • IABAC®  Global Certification
  • 4-Month | 200 Learning Hours
  • 80-Hour Live Online Training
  • 10 Capstone & 1 Client Projects
  • 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
  • 10 Capstone & 1 Client Projects
  • Job Assistance
  • 24*7 Learner assistance and support

Corporate Training

Customize Your Training

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


Enquire Now


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.

images not display images not display


Why DataMites Infographic


  • What is a neural network?
  • Supervised Learning with Neural Networks - Python
  • How Deep Learning is different from Machine Learning
  • What is Machine Learning?
  • Supervised Machine Learning algorithms
  • K-Nearest Neighbors (KNN) concept and application
  • Naive Bayes concept and application
  • Logistic Regression concept and application
  • Classification Trees concept and application
  • Unsupervised Machine Learning algorithms
  • Clustering with K-means concept and application
  • Hierarchial Clustering concept and application
  • 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
  • Basic Neural Nets
  • Single Hidden Layer Model
  • Multiple Hidden Layer Model
  • Introduction to Convolutional Neural Networks
  • Input Pipeline
  • Introduction to RNN, LSTM, GRU
  • Concept of Reinforcement Learning
  • Simple model applying Reinforcement Learning in TensorFlow
  • Example Application - Case study
  • Hands on building the Deep Learning application with TensorFlow





DataMite's Deep Learning with TensorFlow course has been designed by industry experts and aligned with the latest best practices to transform you into a deep learning expert. The workshop will help you learn the foundations of a Deep Learning and understand how to build neural networks. You will also learn about Adam, Dropout, BatchNorm, Convolutional networks, RNNs, LSTM, and more. You will work on real-life case studies to get hands-on experience.


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

  • Introduce Deep Learning
  • Deep Learning with Tensorflow
  • Tensorboard visualization
  • Hands on the 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 the 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 by 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 increasingly choose 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 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 enable data science professionals with strong data science skills aligned market requirements and be a part of this phenominal Data Science era.


  • PASSIONATE: We are passionate in 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 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 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 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.,

Deep Learning is a subset of machine learning that utilizes artificial neural networks to mimic the learning process of the human brain. It involves training neural networks with multiple layers to extract intricate patterns and make accurate predictions or classifications.

Deep Learning works by constructing and training neural networks with interconnected nodes called neurons. Each layer processes and transforms data, passing it to the next layer for further computation. Through backpropagation, the network adjusts connection weights to minimize errors and improve predictions.

Deep Learning has applications in various industries, including image and speech recognition, natural language processing, autonomous vehicles, healthcare diagnostics, recommendation systems, and fraud detection.

Popular Deep Learning frameworks include TensorFlow, PyTorch, Keras, Caffe, and Theano. These frameworks provide efficient tools and libraries for building, training, and deploying deep neural networks.

Deep Learning is a subset of Machine Learning that focuses on training deep neural networks with multiple layers. Unlike traditional Machine Learning, Deep Learning models automatically learn hierarchical representations from raw data, reducing the need for manual feature engineering.

To start with Deep Learning:

  • Gain a basic understanding of Deep Learning concepts and algorithms.
  • Learn programming languages like Python and relevant libraries such as TensorFlow or PyTorch.
  • Familiarize yourself with Deep Learning frameworks and tools.
  • Explore online resources, tutorials, and courses to gain practical knowledge.
  • Practice by implementing small-scale projects and conducting experiments.
  • Join online communities and forums to collaborate and learn from experts.

Deep Learning offers a wide range of career opportunities, including roles like Deep Learning Engineer, Data Scientist, Research Scientist, Machine Learning Engineer, Computer Vision Engineer, and Natural Language Processing Engineer. These roles span across sectors such as healthcare, finance, e-commerce, and autonomous vehicles.

To excel in a Deep Learning career, a strong foundation in mathematics, particularly in linear algebra and calculus, is essential. Proficiency in programming languages like Python and experience with Deep Learning frameworks such as TensorFlow or PyTorch are vital. Additionally, skills in data preprocessing, model optimization, and problem-solving are highly valuable.

TensorFlow is an open-source deep learning framework developed by Google. It is designed to facilitate the development and deployment of machine learning models, particularly those based on deep neural networks. TensorFlow provides a comprehensive ecosystem of tools, libraries, and resources that enable researchers and developers to build and train sophisticated deep learning models efficiently.

TensorFlow is closely related to deep learning as it is one of the most widely used and popular frameworks for developing and deploying deep learning models. Deep learning is a subset of machine learning that focuses on training deep neural networks with multiple layers to learn and extract intricate patterns from data.

Learning TensorFlow is crucial due to its wide adoption, versatility in deep learning models and architectures, scalability for projects of all sizes, integration and deployment capabilities, performance optimizations, and the industry demand for TensorFlow skills. It offers a powerful platform with ongoing development and opens up lucrative career opportunities.

Salary prospects for Deep Learning professionals vary based on factors such as experience, location, and industry. On average, Deep Learning engineers and Data Scientists earn competitive salaries. According to industry reports, the median salary for a Deep Learning Engineer in the United States is $165,574 per year, with senior-level professionals earning even higher. (Indeed)

Networking and professional connections play a crucial role in Deep Learning careers. Building connections with peers, researchers, and industry experts can lead to collaborations, mentorship opportunities, and access to job openings. Networking platforms, industry events, and online communities dedicated to Deep Learning provide avenues for meaningful connections.

Continuous learning is vital in Deep Learning careers due to the rapid advancements and evolving nature of the field. Staying updated with the latest research papers, attending conferences and workshops, and exploring new techniques and tools are essential to remain relevant and competitive. Continuous learning equips professionals to tackle new challenges and embrace emerging opportunities.

The future of Deep Learning looks promising as it continues to advance and find applications across various industries. Ongoing research and development are expected to enhance the efficiency, interpretability, and capability of Deep Learning models to handle complex tasks. With the exponential growth of data, Deep Learning's ability to extract valuable insights from large datasets will become increasingly valuable, driving further innovation and adoption.

View more


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 is widely recognized as one of the leading providers of deep learning courses. With their comprehensive curriculum, esteemed instructors, and industry-recognized certifications, DataMites stands out as a global leader in deep learning education.

DataMites offers the following Deep Learning Certification Training programs:

  • Certified Deep Learning Expert
  • Certified Computer Vision Expert
  • Deep Learning with Python Courses
  • Deep Learning - TensorFlow

The DataMites Deep Learning TensorFlow Training is a comprehensive program that equips learners with the knowledge and skills necessary to excel in deep learning using the TensorFlow framework. The course covers topics such as deep learning fundamentals, neural network architectures, model building, optimization techniques, and deployment strategies. Through hands-on projects, students gain practical experience in solving complex problems with TensorFlow. Experienced instructors provide guidance and support throughout the course, and successful completion enhances career prospects in the field of artificial intelligence.

The DataMites Deep Learning TensorFlow Course has a duration of 4 months, with a total of 200 hours of training. Training sessions are available on both weekdays and weekends for flexible scheduling.

The DataMites Deep Learning TensorFlow Training is suitable for professionals in data science, machine learning, and artificial intelligence, as well as software engineers, researchers, and graduate students seeking to expand their understanding of deep learning and TensorFlow. While there are no specific prerequisites, a basic understanding of programming, mathematics, and machine learning concepts would be beneficial.

DataMites Online Deep Learning TensorFlow Training offers several advantages, including accreditation by the International Association of Business Analytics Certification (IABAC), a large student community for networking and collaboration, a comprehensive learning approach with self-study materials and live online sessions, globally recognized certification, and exclusive internship opportunities with Rubixe.

The fee structure for the Deep Learning TensorFlow Course at DataMites varies based on the course and training mode. Here are some examples:

  • USA: USD 440 to USD 1,180
  • India: INR 26,548 to INR 90,000
  • UK: GBP 306 to GBP 1,140

The Flexi-Pass option allows participants to attend DataMites training sessions for a duration of 3 months. It provides added support and guidance, enabling individuals to clarify doubts and review concepts effectively.

Yes, upon completing the Deep Learning Training, participants receive the prestigious IABAC certification, which holds global recognition and adds value to their professional profile.

If you miss a training session, you can schedule a makeup class with your instructors at your convenience. For Online Deep Learning Training, all sessions are recorded and uploaded, allowing you to catch up on missed content at your own pace.

Yes, participants have the option to request help sessions to clarify doubts or gain a better understanding of specific topics covered in the training.

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) offers comprehensive support, including job connections, resume assistance, mock interviews with industry professionals, and interview preparation to enhance your chances of success in securing job opportunities.

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.

View more



popular career ORIENTED COURSES


HELPFUL RESOURCES - DataMites Official Blog