When it comes to building powerful generative models in 2025, having the right framework is essential—and the SevenMentor “Generative AI Course in Pune” equips learners with the knowledge of the top frameworks in the field. Frameworks such as PyTorch, TensorFlow 2.0, JAX, and Hugging Face Transformers are leading the way thanks to their flexibility, performance, and community support. Students in the course learn how to choose the right framework based on their project goals—whether it’s building a GAN for image generation, a transformer for text generation, or a diffusion model for creative media—and how each framework’s features, ecosystem, and tooling impact development speed and deployment.

In the Generative AI Classes in Pune, SevenMentor emphasizes hands-on experience with these frameworks through real-world projects and labs. Learners dive into implementing standard architectures in PyTorch, leveraging TensorFlow’s high-level APIs for rapid prototyping, and exploring JAX’s efficiency for large-scale model training on TPUs. Additionally, the course covers how Hugging Face Transformers has become the go-to platform for fine-tuning large language models (LLMs) and accessing pre-trained models in just a few lines of code. This variety ensures that students don’t just learn theory—they execute code, debug, benchmark, and optimise real models.

Finally, the Generative AI Training in Pune by SevenMentor ensures that learners are deployment-ready. Knowing the framework is one part; understanding how to deploy a model using ONNX, TensorFlow Serving, or TorchScript is equally important. The course also addresses integration with MLOps pipelines and tools like Kubeflow or MLflow, enabling students to take their generative models from prototype to production. By mastering these frameworks and their ecosystems, graduates emerge from the training prepared to innovate with generative AI technologies and lead projects across domains such as media, marketing, research, and automation.