Corporate Machine Learning with TensorFlow Training Course

Edstellar's instructor-led Machine Learning with TensorFlow training course encapsulates the essence of utilizing TensorFlow, a leading machine learning library, to create, train, and deploy machine learning models efficiently. The course equips teams with the skills to develop innovative solutions and stay competitive in data-driven terrain.

Duration

16 - 24 hrs

Delivery Type

Instructor-led Group Training
(Virtual / On-site / Off-site)

Training Available in

10 Languages

Multiple Locations

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Looking for multiple trainings? Get a detailed quote for group training

About Learning Outcomes Key Benefits Course Outline Target Audience Training Modes Certificate Trainers Request a Training Quote

Drive Team Excellence with Machine Learning with TensorFlow Corporate Training

Empower your teams with expert-led on-site, off-site, and virtual Machine Learning with TensorFlow Training through Edstellar, a premier corporate training provider for organizations globally. Designed to meet your specific training needs, this group training program ensures your team is primed to drive your business goals. Help your employees build lasting capabilities that translate into real performance gains.

Machine Learning with TensorFlow represents a transformative approach to artificial intelligence, enabling computers to learn from and make data-based decisions. The technology is pivotal for organizations as it empowers teams to leverage TensorFlow for advanced machine learning applications, driving efficiency, innovation, and strategic decision-making. The need for a Machine Learning with TensorFlow training course is paramount, as it equips professionals with the knowledge to harness the power of AI effectively.

Edstellar's instructor-led Machine Learning with TensorFlow training course stands out with its practical, hands-on approach, led by industry experts. The training provides theoretical learning for professionals to apply what is learned in realistic scenarios. The curriculum is designed to be customizable, ensuring relevance to the organization's unique challenges and requirements. The course delivered through virtual/onsite training modes provides an immersive, practical learning experience, facilitating a deep understanding of Machine Learning with TensorFlow and its application in business contexts.

Get Customized Expert-led Training for Your Teams

Customized Training Delivery

Scale Your Training: Small to Large Teams

In-person Onsite, Live Virtual or Hybrid Training Modes

Plan from 2000+ Industry-ready Training Programs

Experience Hands-On Learning from Industry Experts

Delivery Capability Across 100+ Countries & 10+ Languages

Key Skills Employees Gain from instructor-led Machine Learning with TensorFlow Training

Machine Learning with TensorFlow skills corporate training will enable teams to effectively apply their learnings at work.

Neural Networks
Neural Networks are computational models inspired by the human brain, crucial for roles in AI and data science. This skill is important for developing advanced algorithms, enhancing predictive analytics, and driving innovation in machine learning applications.
TensorFlow Framework
TensorFlow Framework is an open-source library for machine learning and deep learning. This skill is important for data scientists and AI engineers to build, train, and deploy models efficiently.
Model Building
Model Building is the process of creating mathematical representations of real-world systems. this skill is important for data analysts and data scientists as it enables accurate predictions and informed decision-making.
Model Optimization
Model Optimization is the process of refining machine learning models to enhance performance and efficiency. This skill is important for data scientists and AI engineers, as it ensures accurate predictions and resource-efficient solutions.
Convolutional Neural Networks
Convolutional Neural Networks are deep learning models designed for image processing. This skill is important for roles in AI, computer vision, and data analysis, enabling advanced visual recognition tasks.
Natural Language Processing
Natural Language Processing is the AI-driven ability to analyze and interpret human language. This skill is important for roles in data science, AI development, and linguistics, enabling effective communication and insights from text data.

Key Learning Outcomes of Machine Learning with TensorFlow Training Workshop for Employees

Upon completing Edstellar’s Machine Learning with TensorFlow workshop, employees will gain valuable, job-relevant insights and develop the confidence to apply their learning effectively in the professional environment.

Equip professionals with the capability to preprocess and transform data, ensuring it is in the optimal format for analysis and model training
Develop skills to design and implement neural networks using TensorFlow, enabling the creation of sophisticated AI models that can solve complex problems in various business sectors
Apply advanced optimization techniques to improve the performance and efficiency of machine learning models, ensuring professionals can handle large datasets required in professional settings
Explore the application of convolutional and recurrent neural networks for advanced tasks, contributing to the development of intelligent systems that enhance customer experiences and automate tasks
Learn to leverage TensorFlow's comprehensive ecosystem to build and deploy machine learning models effectively in professional environments, enhancing product innovation and operational efficiency

Key Benefits of the Machine Learning with TensorFlow Group Training with Instructor-led Face to Face and Virtual Options

Attending our Machine Learning with TensorFlow group training classes provides your team with a powerful opportunity to build skills, boost confidence, and develop a deeper understanding of the concepts that matter most. The collaborative learning environment fosters knowledge sharing and enables employees to translate insights into actionable work outcomes.

Learn to optimize TensorFlow models for better performance and efficiency, essential for real-world applications
Equip professionals with the ability to preprocess data, ensuring it is ready for use in machine learning algorithms
Develop a solid understanding of neural networks and how to apply them in TensorFlow to solve complex problems
Equips teams with the skills to implement machine learning solutions that drive innovation and operational excellence
Explore the potential of deep learning and how to implement various architectures within TensorFlow for advanced AI applications

Topics and Outline of Machine Learning with TensorFlow Training

Our virtual and on-premise Machine Learning with TensorFlow training curriculum is structured into focused modules developed by industry experts. This training for organizations provides an interactive learning experience that addresses the evolving demands of the workplace, making it both relevant and practical.

Machine Learning and Neural Networks Overview

What is machine learning?
- Definition and history
- Key concepts and terminologies
- Types of machine learning models
Machine learning problems and applications
- Classification, regression, and clustering problems
- Impact of machine learning on society
Neural networks overview
- Basics of neural networks
- Structure and functioning of neurons
- Layers in neural networks
Python machine learning ecosystem: TensorFlow vs scikit-learn
- Overview of TensorFlow and scikit-learn
- Key differences and use cases
- Choosing the right tool for the task

Machine Learning Basics

Learning and predicting
- The learning process explained
- Making predictions with trained models
Supervised vs unsupervised learning
- Differences and applications
- Examples of both learning types
Feature engineering, feature selection, feature scaling
- Importance of feature engineering
- Techniques for feature selection and scaling
Training data and test data
- Importance of data splitting
Cross-validation
- Understanding cross-validation
- Different cross-validation techniques
Evaluation metrics
- Common evaluation metrics for classification and regression
- Understanding confusion matrix, precision, recall, and F1 score

Loading, Exploring, and Pre-Processing Data

The tf.data API
- Introduction to tf.data
- Creating datasets and data pipelines
Working with NumPy arrays
- NumPy arrays in data preprocessing
- Integration of NumPy with TensorFlow
TensorFlow datasets
- Exploring TensorFlow datasets
- Loading and preprocessing datasets

Building the First Neural Network Model

Choosing a network architecture
- Criteria for choosing the right architecture
- Overview of common architectures
The tf.keras API
- Introduction to Keras in TensorFlow
- Building models with Keras
Setting up and compiling a model in TensorFlow
- Model configuration
- Compilation options and optimizers
Training the model
- Training processes and techniques
- Monitoring training progress
Model evaluation
- Evaluating model performance
- Understanding evaluation metrics
Making predictions
- Generating predictions with trained models
- Interpreting prediction results

TensorFlow Demos

Classification: Predicting a label
- Steps in building a classification model
- Demo: Simple classification task
Text classification with TensorFlow
- Text preprocessing techniques
- Building and training a text classification model
Image classification with TensorFlow
- Image data preparation
- Constructing an image classification model
Regression: Predicting a quantity
- Basics of regression analysis
- Implementing a regression model in TensorFlow
Linear regression with TensorFlow
- Linear regression fundamentals
- Building a linear regression model
Improving prediction quality
- Techniques to enhance model predictions
- Overfitting and underfitting
Error analysis
- Identifying and analyzing model errors
- Strategies for error reduction
Hyper-parameter tuning
- Importance of hyper-parameter tuning
- Methods for hyper-parameter optimization

Who Can Take the Machine Learning with TensorFlow Training Course

The Machine Learning with TensorFlow training program can also be taken by professionals at various levels in the organization.

Data Scientists
Machine Learning Engineers
Marketing Assistants
Data Analysts
Software Engineers
Research Scientists
IT Specialists
Data Engineers
Algorithm Engineers
Computer Vision Engineers
Big Data Specialists
Managers

Prerequisites for Machine Learning with TensorFlow Training

Professionals with a basic understanding of Python programming and fundamental machine learning concepts, experience developing with languages such as C++, C#, Scala and Javascript, and familiarity with Linear Algebra and Vector Calculus can take up the Machine Learning with TensorFlow training course.

Request a Quote for your Corporate Training Requirements

Delivering Training for Organizations across 100 Countries and 10+ Languages

Corporate Group Training Delivery Modes
for Machine Learning with TensorFlow Training

At Edstellar, we understand the importance of impactful and engaging training for employees. As a leading Machine Learning with TensorFlow training provider, we ensure the training is more interactive by offering Face-to-Face onsite/in-house or virtual/online sessions for companies. This approach has proven to be effective, outcome-oriented, and produces a well-rounded training experience for your teams.

Virtual Machine Learning with TensorFlow Training

Edstellar's Machine Learning with TensorFlow virtual/online training sessions bring expert-led, high-quality training to your teams anywhere, ensuring consistency and seamless integration into their schedules.

With global reach, your employees can get trained from various locations

The consistent training quality ensures uniform learning outcomes

Participants can attend training in their own space without the need for traveling

Organizations can scale learning by accommodating large groups of participants

Interactive tools can be used to enhance learning engagement

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On-site Machine Learning with TensorFlow Training

Edstellar's Machine Learning with TensorFlow inhouse face to face instructor-led training delivers immersive and insightful learning experiences right in the comfort of your office.

Higher engagement and better learning experience through face-to-face interaction

Workplace environment can be tailored to learning requirements

Team collaboration and knowledge sharing improves training effectiveness

Demonstration of processes for hands-on learning and better understanding

Participants can get their doubts clarified and gain valuable insights through direct interaction

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Off-site Machine Learning with TensorFlow Training

Edstellar's Machine Learning with TensorFlow offsite face-to-face instructor-led group training offer a unique opportunity for teams to immerse themselves in focused and dynamic learning environments away from their usual workplace distractions.

Distraction-free environment improves learning engagement

Team bonding can be improved through activities

Dedicated schedule for training away from office set up can improve learning effectiveness

Boosts employee morale and reflects organization's commitment to employee development

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Edstellar: Your Go-to Machine Learning with TensorFlow Training Company

Experienced Trainers

Our trainers bring years of industry expertise to ensure the training is practical and impactful.

Quality Training

With a strong track record of delivering training worldwide, Edstellar maintains its reputation for its quality and training engagement.

Industry-Relevant Curriculum

Our course is designed by experts and is tailored to meet the demands of the current industry.

Customizable Training

Our course can be customized to meet the unique needs and goals of your organization.

Comprehensive Support

We provide pre and post training support to your organization to ensure a complete learning experience.

Multilingual Training Capabilities

We offer training in multiple languages to cater to diverse and global teams.

Testimonials

What Our Clients Say

We pride ourselves on delivering exceptional training solutions. Here's what our clients have to say about their experiences with Edstellar.

"This Machine Learning with TensorFlow course was exactly what I needed to advance my career. As a Principal Data Architect, mastering industry best practices has become crucial for my success. The in-depth coverage frameworks I use daily. My ability to architect solutions and solve complex problems has improved substantially. The real-world examples and deep dive into practical simulations were particularly valuable for my professional growth.”

Michelle Bradley

Principal Data Architect,

AI Solutions Platform Provider

"The Machine Learning with TensorFlow training provided critical insights into strategic frameworks that enhanced my consulting capabilities. As a Lead Data Warehouse Engineer, I now leverage real-world case studies exercises on hands-on exercises prepared me perfectly for real-world client scenarios. Client engagement and retention metrics have improved significantly across our practice, demonstrating immediate value from this investment.”

Milan Jovanovic

Lead Data Warehouse Engineer,

ML Model Development Platform

"As a Principal Big Data Engineer leading strategic implementation operations, the Machine Learning with TensorFlow training provided our team with essential advanced methodologies expertise at scale. The complete operational footprint. We completed our comprehensive digital transformation initiative significantly ahead of schedule. This course has proven invaluable for driving our organizational transformation and sustained excellence.”

Anand Chary

Principal Big Data Engineer,

Cognitive Computing Solutions Provider

“Edstellar’s IT & Technical training programs have been instrumental in strengthening our engineering teams and building future-ready capabilities. The hands-on approach, practical cloud scenarios, and expert guidance helped our teams improve technical depth, problem-solving skills, and execution across multiple projects. We’re excited to extend more of these impactful programs to other business units.”

Aditi Rao

L&D Head,

A Global Technology Company

Get Your Team Members Recognized with Edstellar’s Course Certificate

Upon successful completion of the training course offered by Edstellar, employees receive a course completion certificate, symbolizing their dedication to ongoing learning and professional development.

This certificate validates the employee's acquired skills and is a powerful motivator, inspiring them to enhance their expertise further and contribute effectively to organizational success.

We have Expert Trainers to Meet Your Machine Learning with TensorFlow Training Needs

The instructor-led training is conducted by certified trainers with extensive expertise in the field. Participants will benefit from the instructor's vast knowledge, gaining valuable insights and practical skills essential for success in Access practices.

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Edstellar is a one-stop instructor-led corporate training and coaching solution that addresses organizational upskilling and talent transformation needs globally. Edstellar offers 2000+ tailored programs across disciplines that include Technical, Behavioral, Management, Compliance, Leadership and Social Impact.

Corporate Machine Learning with TensorFlow Training Course

Drive Team Excellence with Machine Learning with TensorFlow Corporate Training

Key Skills Employees Gain from instructor-led Machine Learning with TensorFlow Training

Key Learning Outcomes of Machine Learning with TensorFlow Training Workshop for Employees

Key Benefits of the Machine Learning with TensorFlow Group Training with Instructor-led Face to Face and Virtual Options

Topics and Outline of Machine Learning with TensorFlow Training

Machine Learning and Neural Networks Overview

Machine Learning Basics

Loading, Exploring, and Pre-Processing Data

Building the First Neural Network Model

TensorFlow Demos

Who Can Take the Machine Learning with TensorFlow Training Course

Prerequisites for Machine Learning with TensorFlow Training

Corporate Group Training Delivery Modes for Machine Learning with TensorFlow Training

Explore Our Customized Pricing Package forMachine Learning with TensorFlow Corporate Training

Edstellar: Your Go-to Machine Learning with TensorFlow Training Company

Experienced Trainers

Quality Training

Industry-Relevant Curriculum

Customizable Training

Comprehensive Support

Multilingual Training Capabilities

What Our Clients Say

Get Your Team Members Recognized with Edstellar’s Course Certificate

We have Expert Trainers to Meet Your Machine Learning with TensorFlow Training Needs

Other Related Corporate Training Courses

Explore More Courses

Corporate Group Training Delivery Modes
for Machine Learning with TensorFlow Training

Explore Our Customized Pricing Package for
Machine Learning with TensorFlow Corporate Training