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Introduction to Generative AI Training Certification Course

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Dive into Multisoft Virtual Academy's Generative AI course! Master the art of AI-driven content creation. Learn GANs, VAEs, and more. Enroll now and shape the future of digital innovation!

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Instructor-led Training Live Online Classes

Suitable batches for you

20 Jul 2024 24 06:00 PM - 09:00 PM Sat, Sun
27 Jul 2024 24 06:00 PM - 09:00 PM Sat, Sun
03 Aug 2024 24 06:00 PM - 09:00 PM Sat, Sun
10 Aug 2024 24 06:00 PM - 09:00 PM Sat, Sun

Course Price At

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Instructor-led Training Live Online Classes

20 Jul 2024 24 06:00 PM - 09:00 PM Sat, Sun
27 Jul 2024 24 06:00 PM - 09:00 PM Sat, Sun
03 Aug 2024 24 06:00 PM - 09:00 PM Sat, Sun
10 Aug 2024 24 06:00 PM - 09:00 PM Sat, Sun

Course Price At

$ 500

Enroll Now
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Online Self Learning Courses are designed for self-directed training, allowing participants to begin at their convenience with structured training and review exercises to reinforce learning. You’ll learn through videos, PPTs and complete assignments, projects and other activities designed to enhance learning outcomes, all at times that are most convenient to you.

Course Price At

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Instructor-Led Online Training Parameters

Course Highlights

  • Duration: 24 Hrs.
  • Subject Matter Expert
  • After Training Support
  • Lifetime E-Learning Access
  • Recorded Sessions
  • Free Online Assessments
Generative AI Training Course Syllabus

Curriculum Designed by Experts


Welcome to Multisoft Virtual Academy's premier course on Generative AI, a comprehensive foray into the world where artificial intelligence meets creativity. This course is meticulously crafted to provide learners with a deep understanding of how machines can generate new, previously unseen content, be it images, text, or even intricate patterns. From the foundational concepts of generative models to hands-on implementation using state-of-the-art frameworks, participants will embark on a transformative learning journey.

Dive into the realms of Generative Adversarial Networks (GANs) and explore the nuances of Variational Autoencoders (VAEs). Each module is designed to ensure learners grasp both the theoretical knowledge and practical application, preparing them for real-world challenges. Furthermore, the course does not shy away from the ethical implications and challenges of generative AI, offering a balanced view of its potential and pitfalls. Backed by Multisoft's experienced educators and industry-relevant curriculum, participants are poised to not just learn but excel in this fascinating AI domain.

Multisoft Virtual Academy's Generative AI Course: An immersive program exploring AI's creative potential, teaching GANs, VAEs, and cutting-edge techniques for data generation and manipulation.

  • Definition and overview of Generative AI
  • Evolution of AI: From rule-based to generative
  • Generative vs. Discriminative models
  • Real-world applications and significance

  • · Basics of Neural Networks and Deep Learning
  • · Activation functions, loss functions, and optimizers
  • · Backpropagation and gradient descent
  • · Regularization and overfitting

  • · Introduction to Autoencoders
  • · VAE architecture and loss function
  • · Sampling and latent space
  • · Applications and limitations

  • · GAN fundamentals and architecture
  • · Training dynamics: Generator and Discriminator
  • · Variants of GANs (DCGAN, WGAN, CycleGAN, etc.)
  • · Challenges in training and solutions

  • · Introduction to Restricted Boltzmann Machines (RBMs)
  • · Recurrent Neural Networks (RNNs) in generative tasks
  • · Transformer-based generative models

  • · Conditional GANs
  • · StyleGAN and its iterations
  • · Adversarial attacks and defenses
  • · Improving GAN training stability

  • · Image generation and manipulation
  • · Data augmentation and anomaly detection
  • · Content creation: Music, Text, Art
  • · Game design and simulation

  • · Deepfakes and societal impact
  • · Authenticity and content verification
  • · Bias and fairness in generative models
  • · Environmental concerns and computational requirements

  • · Tensorflow and Keras
  • · PyTorch
  • · Hands-on labs and projects
  • · Setting up the development environment

  • · Identifying a real-world problem or application
  • · Designing a suitable generative model
  • · Implementation, testing, and iteration
  • · Presentation and evaluation

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Generative AI Training Description

Multisoft Virtual Academy's Generative AI Course: An immersive program exploring AI's creative potential, teaching GANs, VAEs, and cutting-edge techniques for data generation and manipulation. Here are some course objectives

  • Equip participants with foundational knowledge of generative models and their underlying mechanisms.
  • Offer hands-on experience in designing and training Generative Adversarial Networks (GANs).
  • Introduce the intricacies of Variational Autoencoders (VAEs) and their applications.
  • Highlight the ethical considerations and implications of using generative AI techniques.

  • AI Researchers
  • Computer Science Students
  • Software Developers
  • Data Scientists
  • Machine Learning Engineer

  • Computing Skills: Familiarity with numerical computing libraries
  • Foundations of Machine Learning: Understanding of supervised and unsupervised learning.
  • Fundamental Programming Skills: Proficiency in Python & familiarity with programming constructs
  • Basic Mathematics: Linear Algebra, Calculus & Probability and Statistics

Generative AI Training Certification

Multisoft Virtual Academy provides a globally recognized training certificate to the participants, after successful completion of a training program. The training certificates are recognized and accepted across the world.

Multisoft Virtual Academy's training certificate comes with lifetime validity.

Aspirants can directly enroll for the desired course from the Book Now Button in the course page. You can also connect on Whatsapp at +91 8130666206 to talk with a training advisor. Multisoft Virtual Academy also offers customized training programs on a wide range of domains and skills.

All training programs offered by Multisoft Virtual Academy are delivered by certified industry experts, who have years of experience in the relevant domains. Multisoft Global Subject Matter Experts impart knowledge on a wide variety of training courses through one –on-one and corporate training sessions.

Multisoft Virtual Academy training certification can help participants stand out in the competitive job market. Since the training certificates are internationally accepted, participants can showcase their skills and knowledge to employers across the world.

Generative AI Corporate Training Certification

Interactive Virtual Training

Interactive Virtual Training

  • Global Subject Matter Experts
  • Step-by –Step Learning Approach
  • Instant Doubt Clearing
Lifetime Access

Lifetime Access

  • Lifetime E-learning Access
  • Recorded Training Session Videos
  • Free Access to Practice Tests
24x7 Assistance

24x7 Assistance

  • Help Desk Support
  • Doubt Resolution in Real-time
  • After Training Support
Hands on Experience

Hands on Experience

  • Project Based Learning
  • Learning based on real-life examples
  • Assignments and Practice Tests
Globally Recognized Training Certificate

Globally Recognized Certificate

  • Multisoft Training Certificate
  • Globally Recognized and Accepted
  • Lifetime Validity

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Generative AI Training FAQ's

This course is designed for individuals with a foundational understanding of machine learning and programming, including students, researchers, and professionals looking to delve into the world of generative models and their applications.

We will primarily be using popular deep learning frameworks such as TensorFlow, Keras, and PyTorch. Familiarity with Python programming is essential.

Yes, participants should have a basic understanding of machine learning concepts, proficiency in Python programming, and a grasp of foundational mathematics, particularly linear algebra and calculus.

Absolutely! The course incorporates several hands-on labs and assignments. Towards the end, participants will undertake a capstone project where they'll implement a generative model to address a real-world challenge or application.

Yes, successful participants will receive a certificate of completion by Multisoft Virtual Academy, validating their expertise in Generative AI.

Generative models learn the joint probability distribution of input and output data, and can generate new samples. Discriminative models, on the other hand, learn the boundary between classes and focus on distinguishing between different outputs given an input.

Generative AI can be used to create novel design patterns, simulate architectural structures, and even predict fashion trends, offering innovative solutions and inspirations in both fields.

Generative models can create additional training data by generating new samples that resemble the original dataset. This is useful for scenarios where collecting more real data is challenging or expensive.

Yes, if the data used to train generative models contains biases, the generated content can also reflect these biases, potentially perpetuating stereotypes or misinformation.

Transfer learning involves using a pre-trained model on a new task. Generative models trained on one dataset can be fine-tuned on a smaller, task-specific dataset, leveraging prior knowledge for improved performance.

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