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Generative AI with Python and Pytorch

Live Online (VILT) & Classroom Corporate Training Course

Master the coding of Generative AI architectures with Python and Pytorch. This course covers everything from GANs to multimodal AI in a hands-on, step-by-step approach.

Expert-Led VILT & Classroom Hands-On CloudLabs Certification Voucher Available
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Overview

Generative AI with Python and Pytorchis a comprehensive course designed to take learners on an in-depth journey through the world of generative AI. This course will cover everything from the foundational concepts of generative adversarial networks (GANs) to advanced multimodal AI architectures. Learners will gain hands-on experience coding these architectures from scratch using Python and Pytorch, enabling them to understand both the theory and the practical implementation of cutting-edge generative models.

Objectives

By the end of this course, leaner will be able to:

  • Master Generative AI Architectures:Learn how to code various generative AI architectures from scratch, including GANs, Stable Diffusion, and multimodal AI models.
  • Deep Dive into AI Concepts:Gain an in-depth understanding of the key concepts behind generative AI, with detailed explanations before each coding section.
  • Hands-on Coding Experience:Implement generative networks that produce human faces, create images from text prompts, and more, through hands-on coding exercises.
  • Explore Advanced Techniques:Learn to combine different AI models, such as segmentation architectures with generative models, for advanced applications like image editing.
  • Understand Neural Network Latent Space:Delve into the latent space of neural networks to understand how they learn mappings, with a special guided visualization section.

Prerequisites

Basic Python Programming Skills:A solid understanding of Python is required to follow the coding exercises. Familiarity with Deep Learning Concepts:Some prior knowledge of deep learning and neural networks is recommended. Interest in AI and Machine Learning:A strong interest in artificial intelligence and its creative applications is essential. Willingness to Learn by Doing:The course is hands-on, so a desire to code and experiment with AI models is important. Understanding of Pytorch (Optional):Some experience with Pytorch will be beneficial, but not mandatory.

Course Outline

  • Overview of generative AI and its significance.
  • Understanding and coding basic GAN architectures.

  • In-depth coding of advanced generative models.
  • Creating human faces with generative networks.

  • Combining text prompts with generative models to create images.
  • Coding exercises for multimodal AI applications.

  • Programming a combination of segmentation and generative models.
  • Practical example: Editing clothes in a picture.

  • Journey into the latent space of neural networks.
  • Guided visualization and advanced concepts in neural network mappings.

Available Training Modes

Pick the format that fits your team.

Same authorised curriculum, same trainers, same hands-on cloud labs — delivered the way that works for you.

Live Online (VILT)

Real-time instructor-led sessions over Zoom or Teams. Same classroom, different time zones.

Most popular

Classroom

Face-to-face training delivered at your office, our Bengaluru centre, or any partner venue worldwide.

Onsite

Self-Paced

Recorded sessions plus 24/7 access to cloud labs and assessments. Learn at the pace that works for each engineer.

On-demand

Blended

Live workshops with self-paced reinforcement and project-based labs. Best for hybrid teams across regions.

Hybrid teams
All modes include: hands-on cloud labs, recordings, assessments, certificate of completion. Talk to a solutions advisor →

Our Training Process

How a course becomes measurable skill.

One contract, five steps, zero handoffs. From discovery to deployment, the same Synergific team owns the outcome — not a chain of vendors.

5 Steps from your scoping call to certified, productive engineers.
01

Discover & set goals

We start with a scoping call to understand your team's current skill level, target outcomes, deadlines, and certification needs — then translate that into a measurable success plan with named owners on both sides.

02

Curate the right path

We map the optimal learning path — instructor-led, self-paced, or blended — with hands-on cloud labs, prerequisite refreshers, and certification vouchers built in. No filler modules, no padded curriculum.

03

Deliver hands-on training

Authorised trainers run live sessions backed by 24/7 cloud labs and real-world projects. Theory and practice on the same day — learners stop forgetting concepts before they get to apply them.

04

Assess & mentor

Continuous skill checks, mock exams, and 1:1 mentoring keep the program honest. If anyone falls behind, we course-correct in-flight — you'll never find out at the end that two engineers couldn't keep up.

05

Certify & apply on the job

Voucher-backed certification, post-training office hours, and 30-day reinforcement so skills land on real work — not just on the exam scorecard. Success measured after the course ends, not before.

Client Stories

What our clients say

Voices from L&D leaders, architects, and program managers who’ve trusted us with their upskilling.