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  • IABAC®  Global Certification
  • 6-Month / 200 Learning Hours
  • 80-Hour Live Online Training
  • 10 Capstone & 1 Client Project
  • 365 Days Flexi Pass + Cloud Lab
  • Internship + Job Assistance

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

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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


  • Data Science And Ml Introduction
  • Mathematics For Ml
  • Learning Methods
  • Popular Ml Algorithms
  • Building Regression Models
  • Building Classification Models
  • Beyond Machine Learning
  • Intelligence Platform
  • 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 – Tf2.X
  • 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
  • Gan Introduction
  • Core Concepts Of Gan
  • Building Gan Model With Tensorflow 2.X,
  • Gan Applications
  • Reinforcement Learning (Rl) Introduction
  • Core Concepts Of Rl
  • Building Basic Rl Model, Application Of Rl
  • Amazon Web Services (Aws)
  • Deploying Deep Learning Models Using Aws Sagemaker





Deep Learning happens to be a subset of Machine Learning and helps to shadow the limitations evident in the machine learning functions. Where the data is large in number, deep learning is the ideal mechanism to be banked upon.

The Certified Deep Learning Expert course mainly focuses on employing the knowledge of deep learning into the organizational functions. The certification, accredited by  IABAC carries wide recognition and is instrumental in fulfilling long term career goals.


Deep Learning is an indispensable part of  Machine Learning. Every organization is making an effort towards leveraging the possibilities of deep learning. The Certified Deep Learning Expert mainly focuses on the incorporation of deep learning into the activities of an enterprise.

Given the successful completion of the course, you will be equipped with the following:-

  • Deep Learning -An Overview 

  • Applications Of Deep Learning 

  •  Machine Learning.

  • Helps to lead forward in the Data Science career trajectory 

  • No mandatory prerequisite.

  • Experience in the deep learning domain recommended.

  • Data Scientists who have a specialization in operations.

  • Professionals working in the operations domain 

  • Wide recognition for certification.

  • Higher Pay.

  • Beneficial for scaling up in the career trajectory

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

  • DataMites™ is founded by Data Science/Analytics Experts, who had deep roots in the industry in the USA and Europe for decades.

  • You benefit from course syllabus of DataMites™ as designed inline with job requirement in the current market

  • You can choose from flexible learning options: Traditional classroom, Live Virtual classroom, and Self-learning.

  • DataMites™ has a dedicated Placement Assistance Team (PAT), which assists you to find the right data science job

  • If you are a worthy candidate, you can get an opportunity to work in global data science consulting projects

  • You can treat your DataMites™ relationship manager as your pal. We value your every request.

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

Deep Learning functions by constructing and training neural networks with multiple layers of interconnected nodes called neurons. Each layer processes and transforms data, passing it to the next layer for further computation. Through a process known as backpropagation, the network adjusts the weights of its connections to minimize errors and enhance its predictions.

Deep Learning finds applications in various industries. It is employed in tasks such as image and speech recognition, natural language processing, autonomous vehicles, healthcare diagnostics, recommendation systems, fraud detection, and more.

Familiar 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 algorithms that require manual feature extraction, Deep Learning models learn hierarchical representations automatically from raw data, reducing the need for manual feature engineering.

To get started with Deep Learning, it is recommended to:

  • Gain a basic understanding of Deep Learning concepts and algorithms.
  • Learn programming languages such as Python and relevant libraries like TensorFlow or PyTorch.
  • Familiarize yourself with Deep Learning frameworks and tools.
  • Explore online resources, tutorials, and courses on Deep Learning.
  • Practice by implementing and experimenting with small-scale projects.
  • 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 can be found across industries such as healthcare, finance, e-commerce, autonomous vehicles, and more.

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

A Deep Learning Expert is a highly skilled professional who possesses in-depth knowledge and expertise in the field of deep learning. They specialize in designing and implementing complex deep neural networks to solve complex problems. Deep Learning Experts have a deep understanding of algorithms, frameworks, and techniques and apply them to various domains such as computer vision, natural language processing, and speech recognition. They contribute to research, stay updated with the latest advancements, and drive innovation in the field of deep learning.

Deep Learning Experts are responsible for designing, developing, and optimizing deep neural networks. They analyze complex datasets, preprocess data, and extract meaningful features. Deep Learning Experts train models, fine-tune hyperparameters, and evaluate model performance. They apply advanced algorithms to solve problems in areas like computer vision, natural language processing, and speech recognition. They also stay updated with the latest research, contribute to advancements, and provide expertise in implementing deep learning solutions.

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

Networking and professional connections can significantly benefit Deep Learning careers. Building connections with fellow professionals, 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 to connect with like-minded individuals.

Continuous learning is vital in Deep Learning careers due to the rapid advancements and evolving nature of the field. To stay relevant and competitive, professionals need to stay updated with the latest research papers, attend conferences and workshops, and explore new techniques and tools. Investing in continuous learning ensures that you are equipped to tackle new challenges and seize emerging opportunities.

The future of Deep Learning holds great promise as it continues to advance and find applications across various industries. With ongoing research and development, Deep Learning models are expected to become more efficient, interpretable, and capable of handling complex tasks. As data continues to grow exponentially, Deep Learning's ability to extract valuable insights from large datasets will be increasingly valuable, driving further innovation and adoption in the coming years.

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

This course is perfectly aligned with 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.

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

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

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

The 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.

DataMites is widely recognized as one of the top providers of deep learning courses. With their extensive curriculum, renowned instructors, and industry-recognized certifications, DataMites stands out as a global leader in deep learning education. Our courses offer a comprehensive blend of theoretical concepts and practical projects, ensuring a thorough understanding of deep learning algorithms and their real-world applications. Additionally, DataMites provides flexible learning options, internship opportunities, and dedicated placement assistance, making them the preferred choice for individuals aspiring to build a successful career in deep learning.

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 Certified Deep Learning Expert Training is a comprehensive program that focuses on providing in-depth knowledge and practical skills in the field of deep learning. Participants will learn various deep learning algorithms, including convolutional neural networks (CNNs), recurrent neural networks (RNNs), and generative adversarial networks (GANs). The course covers topics such as natural language processing, computer vision, and deep reinforcement learning, enabling participants to understand and implement advanced deep learning techniques.

The DataMites Certified Deep Learning Expert Course has a duration of 6 months, with a total of 200 hours of training. Training sessions are available on weekdays and weekends, providing flexibility for participants to choose based on their availability.

The DataMites Certified Deep Learning Expert Training is open to individuals who have a strong interest in deep learning and want to acquire comprehensive knowledge and practical skills in the field. It is suitable for professionals, students, researchers, and anyone looking to build a successful career in deep learning. There are no strict prerequisites for attending the training, although a basic understanding of programming concepts and mathematics can be beneficial.

DataMites Online Deep Learning Expert Training offers several compelling advantages:

  • Accreditation: DataMites is globally accredited by the International Association of Business Analytics Certification (IABAC), ensuring high-quality training.
  • Large Student Community: Join a thriving community of over 25,000 enrolled students, providing opportunities for networking and collaboration.
  • Comprehensive Learning Approach: Benefit from a three-step learning method that includes self-study materials, live online training sessions, and engaging real-world projects.
  • Globally Recognized Certification: Upon successful completion of the training, you will be awarded the prestigious IABAC certification, widely recognized in the industry.
  • Internship Opportunities: Exclusive internship opportunities with AI company Rubixe are available to participants after completing the training.

The Deep Learning training at DataMites varies based on the chosen course and training mode. 

  • USA: USD 573 to USD 1,440
  • India: INR 34,748 to INR 88,000
  • UK: GBP 552 to GBP 1,390

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

Yes, upon completing the Deep Learning Training, you will receive the prestigious IABAC® certification. This certification holds global recognition and adds value to your 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, enabling you to catch up on missed content at your own pace.

The DataMites Placement Assistance Team (PAT) offers comprehensive support, including:

  • Job Connections: Assisting you in connecting with relevant job opportunities in the industry.
  • Resume Assistance: Providing guidance and support in creating an effective resume.
  • Mock Interviews: Conducting mock interviews with industry professionals to enhance your interview skills.
  • Interview Preparation: Discussing interview-related questions and providing guidance for interview success.

Certainly! You 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) 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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