Overview of Course

Our AI & Deep Learning with TensorFlow Training is a comprehensive course designed to teach you the fundamentals of artificial intelligence, deep learning, and TensorFlow. With this course, you'll learn how to develop intelligent systems that can solve complex problems and make predictions based on data. This course is perfect for anyone interested in pursuing a career in AI.

Watch Full Course



Course Highlights

Highlight Icon

Learn from industry experts with years of experience in AI and Deep Learning

Highlight Icon

Lifetime access to course materials, including video lectures, assignments, and quizzes

Highlight Icon

Course completion certificate




Key Differentiators

  • Checked Icon

    Personalized Learning with Custom Curriculum

    Training curriculum to meet the unique needs of each individual

  • Checked Icon

    Trusted by over 100+ Fortune 500 Companies

    We help organizations deliver right outcomes by training talent

  • Checked Icon

    Flexible Schedule & Delivery

    Choose between virtual/offline with Weekend options

  • Checked Icon

    World Class Learning Infrastructure

    Our learning platform provides leading virtual training labs & instances

  • Checked Icon

    Enterprise Grade Data Protection

    Security & privacy are an integral part of our training ethos

  • Checked Icon

    Real-world Projects

    We work with experts to curate real business scenarios as training projects

Contact Learning Advisor!

Inquiry for :
SKILLZCAFE



Skills You’ll Learn

#1

Understanding of artificial intelligence and its applications

#2

Knowledge of machine learning algorithms and techniques

#3

Ability to design and build neural networks

#4

Expertise in using TensorFlow for deep learning tasks

#5

Understanding of natural language processing and computer vision

#6

Knowledge of real-world applications of AI and deep learning

Training Options

Training Vector
Training Vector
Offer Vector

1-on-1 Training

On Request
  • Option Item Access to live online classes
  • Option Item Flexible schedule including weekends
  • Option Item Hands-on exercises with virtual labs
  • Option Item Session recordings and learning courseware included
  • Option Item 24X7 learner support and assistance
  • Option Item Book a free demo before you commit!
Offer Vector

Corporate Training

On Request
  • Option Item Everything in 1-on-1 Training plus
  • Option Item Custom Curriculum
  • Option Item Extended access to virtual labs
  • Option Item Detailed reporting of every candidate
  • Option Item Projects and assessments
  • Option Item Consulting Support
  • Option Item Training aligned to business outcomes
For Corporates
vectorsg Unlock Organizational Success through Effective Corporate Training: Enhance Employee Skills and Adaptability
  • Choose customized training to address specific business challenges and goals, which leads to better outcomes and success.
  • Keep employees up-to-date with changing industry trends and advancements.
  • Adapt to new technologies & processes and increase efficiency and profitability.
  • Improve employee morale, job satisfaction, and retention rates.
  • Reduce employee turnovers and associated costs, such as recruitment and onboarding expenses.
  • Obtain long-term organizational growth and success.

Course Reviews

Curriculum

  • What is deep learning?
  • Brief history of deep learning
  • Applications of deep learning
  • Advantages and disadvantages of deep learning
  • Neural networks vs deep learning
  • Commonly used deep learning frameworks

  • What is a neural network?
  • Components of a neural network
  • Types of neurons
  • Activation functions
  • Loss functions
  • Backpropagation algorithm
  • Gradient descent optimization

  • Deep neural networks vs shallow neural networks
  • Architecture of deep neural networks
  • Initialization methods
  • Regularization techniques
  • Hyperparameter tuning
  • Transfer learning
  • Autoencoders

  • Advanced activation functions
  • Advanced optimization techniques
  • Dropout regularization
  • Batch normalization
  • Gradient clipping
  • Early stopping
  • Model ensembling

  • What are convolutional neural networks (CNNs)?
  • Architecture of CNNs
  • Convolutional layers
  • Pooling layers
  • Activation and loss functions for CNNs
  • Transfer learning with CNNs
  • Applications of CNNs

  • What are recurrent neural networks (RNNs)?
  • Architecture of RNNs
  • Types of RNNs
  • Backpropagation through time
  • Long short-term memory (LSTM) cells
  • Gated recurrent units (GRUs)
  • Applications of RNNs

  • What is a restricted Boltzmann machine (RBM)?
  • Energy-based models
  • Probability distributions
  • Contrastive divergence algorithm
  • Deep belief networks (DBNs)
  • Applications of RBMs and DBNs
  • RBM implementation in Python

  • Introduction to Keras
  • Keras vs other deep learning frameworks
  • Installation and setup
  • Model building with Keras
  • Layers and activations in Keras
  • Loss functions and optimizers in Keras
  • Model evaluation and prediction in Keras

  • Introduction to TFlearn
  • Installation and setup
  • Model building with TFlearn
  • Layers and activations in TFlearn
  • Loss functions and optimizers in TFlearn
  • Model evaluation and prediction in TFlearn
  • Comparison with other deep learning frameworks
Hanger Icon
Contact Learning Advisor
  • RedtickMeet the instructor and learn about the course content and teaching style.
  • RedtickMake informed decisions about whether to enroll in the course or not.
  • RedtickGet a perspective with a glimpse of what the learning process entails.
Phone Icon
Contact Us
+91-9350-455-983
(Toll Free)
Inquiry for :
SKILLZCAFE

Description

Section Icon

Target Audience:

  • Software Engineers
  • Data Scientists
  • Machine Learning Engineers
  • Anyone interested in pursuing a career in AI or Deep Learning
Section Icon

Prerequisite:

  • Basic knowledge of Python programming language
  • Familiarity with linear algebra and calculus concepts
  • Basic knowledge of machine learning concepts
Section Icon

Benefits of the course:

  • Gain expertise in AI and Deep Learning concepts
  • Get hands-on experience with TensorFlow
  • Build a strong foundation for a career in AI or Data Science
  • Learn from industry experts with years of experience in the field
  • Flexible learning options to fit your schedule
  • Showcase your skills with a course completion certificate
Section Icon

Exam details to pass the course:

  • There is no specific exam to pass the AI & Deep Learning with TensorFlow Training course.
  • However, to successfully complete the course and receive a course completion certificate, you will need to complete all the assignments and quizzes, as well as the final project.
  • The final project will require you to apply the knowledge and skills you have learned throughout the course to build a deep learning model for a real-world problem.
Section Icon

Certification path:

  • TensorFlow Developer Certificate
  • Microsoft Certified: Azure AI Engineer Associate
  • AWS Certified Machine Learning - Specialty
Section Icon

Career options:

  • Machine Learning Engineer
  • Data Scientist
  • AI Engineer
  • Deep Learning Engineer
  • Research Scientist

Why should you take this course from Skillzcafe:

Skillzcafe
Why should you take this course from Skillzcafe:
  • Bullet Icon At Skillzcafe, we are committed to providing high-quality training that is designed to help you achieve your career goals.
  • Bullet Icon Our AI & Deep Learning with TensorFlow Training course is taught by industry experts with years of experience in the field.
  • Bullet Icon With this course, you'll get hands-on training with TensorFlow, as well as real-world projects that will give you practical experience.
  • Bullet Icon Additionally, our flexible learning options make it easy for you to fit the course into your busy schedule.

FAQs

Yes, this course offers self-paced learning options. You can complete the course at your own pace and according to your own schedule.

Yes, this course is designed for both beginners and professionals who want to enhance their knowledge and skills in the field of AI and Deep Learning.

This course primarily uses Python programming language for AI and Deep Learning tasks.

Yes, upon successfully completing the course and all the assignments, quizzes, and the final project, you will receive a course completion certificate from Skillzcafe.

Question Vector
Equip your employees with the right skills to be prepared for the future.

Provide your workforce with top-tier corporate training programs that empower them to succeed. Our programs, led by subject matter experts from around the world, guarantee the highest quality content and training that align with your business objectives.

  • 1500+

    Certified Trainers

  • 200+

    Technologies

  • 2 Million+

    Trained Professionals

  • 99%

    Satisfaction Score

  • 2000+

    Courses

  • 120+

    Countries

  • 180+

    Clients

  • 1600%

    Growth