MACHINE LEARNING TENSORFLOW CERTIFICATION AUTHORITIES

MACHINE LEARNING TENSORFLOW COURSE FEATURES

MACHINE LEARNING LEAD MENTORS

MACHINE LEARNING TENSORFLOW COURSE FEE

Live Virtual

Instructor Led Live Online

790
619

  • 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

480
279

  • 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

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

ARE YOU LOOKING TO UPSKILL YOUR TEAM ?

Enquire Now

SEARCH FOR TOP COURSES


BEST MACHINE LEARNING TENSORFLOW CERTIFICATIONS

images not display

WHY DATAMITES INSTITUTE FOR ML TENSORFLOW COURSE

Why DataMites Infographic

SYLLABUS OF MACHINE LEARNING TENSORFLOW COURSE

  • 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

OFFERED MACHINE LEARNING TRAINING COURSES

MACHINE LEARNING TENSORFLOW CAREER SUCCESS STORIES

MACHINE LEARNING TENSORFLOW COURSE REVIEWS

ABOUT MACHINE LEARNING TENSORFLOW TRAINING COURSE

DataMites institute is a globally recognized training provider offering comprehensive Machine Learning with Tensorflow Courses that guide learners from beginner to expert level. With over 100,000+ learners trained worldwide, DataMites has earned a strong reputation in the fields of Machine Learning and Artificial Intelligence Courses. The global artificial intelligence industry is projected to generate revenue of $1.81 trillion by 2030, with a compound growth rate of 37.3% worldwide., according to Grand View Research.

DataMites Institute provides a comprehensive Machine Learning with Tensorflow Course accredited by IABAC and NASSCOM FutureSkills, ensuring alignment with international standards in ML education. Spanning 6 days, the program combines in-depth theoretical instruction with practical, hands-on experience. Designed for both students and professionals, it features live projects, internship opportunities, and personalized mentorship. With strong placement support, the course empowers learners to build successful careers in the fast-growing field of Machine Learning Courses.

Datamites Machine Learning with Tensorflow Course with Internships

At DataMites, our Machine Learning Tensorflow Course Training with Internships is designed to blend theoretical knowledge with real-world application. Through integrated internship opportunities, learners gain practical experience, enhancing their technical skills and industry readiness. This unique training approach equips students to confidently pursue careers in the fast-growing fields of Machine Learning and AI.

Datamites Machine Learning with tensorflow Course with Placements Assistance

DataMites provides machine learning with tensorflow course training with placement assistance, helping learners move smoothly from training to employment. The program is structured to meet the demands of the evolving ML job market, preparing students for promising careers in artificial intelligence course and machine learning courses. With a strong focus on practical skills and industry relevance, DataMites ensures participants are fully equipped to excel in real-world roles and take advantage of emerging opportunities in the field.

Datamites Machine Learning with Tensorflow Course Curriculum

  1. Introduction to TensorFlow
  2. Basic Statistics
  3. Machine Learning Introduction
  4. TensorFlow Essentials
  5. ML Algorithm - Linear Regression in TensorFlow
  6. ML Algorithm - Classification in TensorFlow
  7. ML Algorithm - Clustering in TensorFlow
  8. Simple Neural Networks in TensorFlow
  9. Reinforcement learning
  10. Convolutional and Recurrent Neural Networks
  11. Case study - Stock Market Analysis with TensorFlow

The Benefits of Learning Machine Learning with TensorFlow Course

In the rapidly evolving world of Artificial Intelligence, Machine Learning has become a critical skill across industries from healthcare and finance to retail and robotics. Among the many tools available, TensorFlow stands out as one of the most powerful and widely adopted open-source frameworks for developing machine learning and deep learning models.

  1. Industry-Recognized Framework: TensorFlow is developed and maintained by Google. It’s widely used in both research and industry, making it a valuable skill that employers actively seek in candidates.
  2. Versatility Across Platforms: TensorFlow supports deployment across desktops, mobile devices, edge devices, and even browsers.
  3. Comprehensive Ecosystem: It comes with an extensive ecosystem including TensorFlow Lite (for mobile), TensorFlow.js (for browser-based ML), and TensorFlow Extended (for ML pipelines), enabling end-to-end machine learning solutions.
  4. Powerful for Deep Learning: TensorFlow is particularly effective for developing complex deep learning models such as neural networks, CNNs, RNNs, and transformers, widely used in NLP, image recognition, and more.
  5. High Demand for TensorFlow Skills: Proficiency in TensorFlow significantly boosts your employability. Many top tech companies use it for building AI products, and it’s frequently mentioned in job listings for Data Scientists and ML Engineers.

Why Choose Machine Learning with a TensorFlow Course?

Choosing online machine learning with TensorFlow Course is a smart step if you're looking to build a strong career in data science, artificial intelligence, or software development. Here's why this course stands out:

  1. Industry-Relevant Skills: TensorFlow is widely used by top companies like Google, Airbnb, and Intel. Learning it gives you in-demand skills that employers are actively looking for.
  2. Beginner-Friendly to Advanced: Whether you're just starting or have some experience, TensorFlow courses are structured to guide you from the basics to advanced topics step by step.
  3. Strong Community and Resources: TensorFlow has a huge global community, extensive documentation, and support. That means you’ll never feel stuck while learning or working on projects.
  4. Boosts Career Opportunities: Adding TensorFlow to your skill set can open doors to exciting roles such as Machine Learning Engineer, Data Scientist, or AI Developer.
  5. Support Scalability and Deployment: TensorFlow isn’t just for learning, it's used in production environments too. You’ll learn how to build models that can be deployed on websites, mobile apps, or cloud platforms.

Skills Required for a Machine Learning with Tensorflow Course

Before starting a Machine Learning with TensorFlow course, it's helpful to have some basic knowledge in the following areas. You don’t need to be an expert, but having these skills will make your learning journey smoother:

  1. Basic Programming Knowledge: Understanding of Python is essential, as TensorFlow is built around it.
  2. Mathematics and Statistics: Basic knowledge of linear algebra, calculus, and probability.
  3. Understanding of Data Handling: Experience with data analysis tools like Pandas or NumPy.
  4. Logical and Analytical Thinking: Ability to break down problems and think critically about solutions.
  5. Familiarity with Machine Learning Basics: Concepts like training, testing, overfitting, and model accuracy.

Take the next step toward an AI-powered career. Join our offline machine learning with TensorFlow course today and gain the confidence to build and deploy intelligent systems using one of the most powerful machine learning platforms in the world. Through hands-on training and exposure to real-world tools and techniques, participants gain the expertise needed to solve complex business problems. This comprehensive knowledge opens doors to diverse career paths across industries such as finance, healthcare, IT, and beyond.

DataMites Institute has built a strong footprint across India, operating over 20+ training centers in key metropolitan and emerging cities. These centers provide accessible, high-quality Machine Learning with Tensorflow Courses, Artificial Intelligence Course, and Data Science Courses. Each facility is designed to foster effective learning, offering modern infrastructure, expert instructors, and a supportive environment for learners at all levels.

As intelligent technologies continue to transform industries, acquiring expertise through a Machine Learning with Tensorflow Course has become crucial for tech professionals seeking to remain competitive in today’s job market. DataMites Machine Learning Institute offers a thoughtfully designed curriculum, internationally recognized certifications, hands-on internship opportunities, and strong placement support making it a trusted platform for individuals aiming to launch or elevate their careers in Machine Learning.

ABOUT DATAMITES MACHINE LEARNING TENSORFLOW COURSE

This course is ideal for learners who want to master machine learning concepts and apply them using TensorFlow, one of the most popular deep learning frameworks. Whether you’re a beginner in ML, a developer looking to expand into AI, or a data scientist aiming to strengthen your deep learning skills, this course is designed for you.

While prior programming knowledge in Python is beneficial, it’s not mandatory. The course includes a Python refresher and introduces coding concepts step-by-step so even beginners can follow along.

The Machine Learning with TensorFlow course covers:

  • Introduction to Machine Learning and TensorFlow
  • Installing and Setting Up TensorFlow
  • Tensors and Tensor Operations
  • Data Collection and Preprocessing for TensorFlow Models
  • Feature Engineering Techniques
  • Building and Training Machine Learning Models in TensorFlow

Yes. The course includes hands-on TensorFlow projects such as image classification, sentiment analysis, and time series forecasting, giving you real-world problem-solving experience.

You’ll work with:

  • Python for programming
  • TensorFlow and Keras for model building
  • NumPy and Pandas for data manipulation
  • Matplotlib and Seaborn for visualization
  • TensorFlow Datasets (TFDS) for loading and preparing datasets

The course typically takes 2 to 3 months to complete, depending on the pace and learning mode (weekday, weekend, or self-paced online).

Yes. By mastering TensorFlow, you’ll gain skills highly valued for roles such as Machine Learning Engineer, Deep Learning Specialist, or AI Developer. It’s also a solid foundation for advancing into areas like computer vision and natural language processing.

  • Foundation Course: Focuses on general ML concepts and beginner-friendly algorithms.
  • TensorFlow Course: Emphasizes applying ML and deep learning concepts using TensorFlow for practical, scalable, and industry-ready solutions.

Fees vary by provider and mode of delivery, typically ranging between ₹20,000 – ₹40,000 for a complete TensorFlow program.

 Students, IT professionals, career changers, and AI enthusiasts interested in mastering TensorFlow for building machine learning and deep learning models.

Yes, it starts from the basics and progressively covers advanced topics, making it beginner-friendly while still valuable for experienced learners.

A basic understanding of high school-level algebra, probability, and statistics will help, but all necessary math concepts are explained in the course.

TensorFlow is used across industries such as:

  • Healthcare (medical image analysis)
  • Finance (fraud detection)
  • Retail & E-commerce (recommendation engines)
  • Autonomous Vehicles (object detection)
  • Marketing & Advertising (customer segmentation)

Absolutely. This course is a stepping stone to specialized deep learning fields like computer vision, NLP, and reinforcement learning.

Yes, including normalization, feature scaling, encoding, and dataset preparation for TensorFlow pipelines.

Basic coding skills are helpful but not mandatory the course covers Python programming alongside TensorFlow training.

No. You’ll learn all essential data handling skills as part of the course.

Yes. TensorFlow is a core tool in AI development, and mastering it opens doors to advanced AI applications.

  • Google Translate language processing

  • YouTube video recommendations

  • Voice recognition in Google Assistant

  • Medical diagnosis systems

  • Predictive maintenance in manufacturing

View more

FAQ’S OF MACHINE LEARNING TENSORFLOW TRAINING COURSE

DataMites offers a Machine Learning with TensorFlow Certification that covers both foundational ML concepts and practical TensorFlow applications for building AI models.

The program lasts 2 to 3 months with 60–80 hours of training. Weekday and weekend batches are available.

 The fee typically ranges from ₹20,000 to ₹60,000, depending on the learning format and additional benefits.

Yes, upon successful completion, you’ll earn a globally recognized certification accredited by IABAC.

Yes. DataMites offers free demo classes so you can experience the teaching quality and course content.

Placement support includes resume building, interview preparation, mock interviews, job alerts, and networking opportunities.

Yes, it starts with the basics of ML and TensorFlow before moving to advanced applications.

Yes. DataMites offers real-time internship opportunities with partner companies to help you gain industry experience.

Yes, including projects in image recognition, text classification, and predictive modeling using TensorFlow.

There are no strict prerequisites, though familiarity with Python and basic math is beneficial.

 Yes, flexible EMI plans are available.

 Trainers are industry experts with deep experience in AI, ML, and TensorFlow development.

Yes, under specific conditions, usually if you withdraw after initial classes.

Because of expert-led sessions, real-world projects, globally recognized certification, and strong placement support.

You’ll get complete study materials, recorded sessions, TensorFlow code notebooks, and practice datasets.

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

MACHINE LEARNING TENSORFLOW TRAINING PROJECTS

MACHINE LEARNING TENSORFLOW JOB INTERVIEW QUESTIONS

popular career ORIENTED COURSES

DATAMITES POPULAR COURSES


HELPFUL RESOURCES - DataMites Official Blog