Curriculum Designed By Experts
Expertly designed curriculum for future-ready professionals.
Industry Oriented Curriculum
An exhaustive curriculum designed by our industry experts which will help you to get placed in your dream IT company
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30+  Case Studies & Projects
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9+  Engaging Projects
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10+   Years Of Experience
GenAI Training Projects
Become a GenAI Expert With Practical and Engaging Projects.
- Practice essential Tools
- Designed by Industry experts
- Get Real-world Experience
Text Generation Chatbot
Create a simple chatbot using pre-trained language models to respond to user queries, focusing on prompt design and basic API integration.
Image Style Transfer
Implement an application that applies artistic styles to images using pre-built neural networks, exploring basic computer vision concepts.
AI-Powered Text Summarizer
Develop a tool that condenses long texts into concise summaries using NLP models, emphasizing text preprocessing and model inference.
Custom Fine-Tuned Language Model
Fine-tune a transformer-based model on a specific dataset to generate domain-specific text outputs, learning model training and evaluation.
GAN-based Image Generation
Build a Generative Adversarial Network to create realistic images, understanding GAN architecture and training stability techniques.
AI-driven Content Moderation System
Create a system that automatically detects and flags inappropriate content using text and image analysis, focusing on multi-modal AI.
Multimodal AI Assistant
Develop an assistant capable of understanding and generating text, images, and voice commands, integrating multiple generative models.
Deepfake Video Generation
Build a system to create realistic synthetic videos, learning advanced GANs and ethical considerations in synthetic media.
AI-Based Code Generation Platform
Create an intelligent coding assistant that generates, debugs, and explains code snippets using large language models fine-tuned for programming tasks.
Key Features
Practical Training
Global Certifications
Flexible Timing
Trainer Support
Study Material
Placement Support
Mock Interviews
Resume Building
Batch Schedule
Weekdays Regular (Class 1Hr - 1:30Hrs) / Per Session
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01 - Dec - 2025 Starts Coming Monday ( Monday - Friday) 08:00 AM (IST)
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03 - Dec - 2025 Starts Coming Wednesday ( Monday - Friday) 10:00 AM (IST)
Weekend Regular (Class 3Hrs) / Per Session
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06 - Dec - 2025 Starts Coming Saturday ( Saturday - Sunday) 10:00 AM (IST)
Weekend Fast-track (Class 6Hrs - 7Hrs) / Per Session
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07 - Dec - 2025 Starts Coming Saturday ( Saturday - Sunday) 10:00 AM (IST)
Enquiry Form
- Learning strategies that are appropriate and tailored to your company's requirements.
- Live projects guided by instructors are a characteristic of the virtual learning environment.
- The curriculum includes of full-day lectures, practical exercises, and case studies.
GenAI courseOverview
Uses of GenAI Certification in HSR Layout
GenAI Certification in HSR Layout empowers learners to harness cutting-edge AI models for creative and intelligent automation across industries. It is used to generate human-like text, realistic images, audio, and videos, transforming fields like content creation, design, and customer service. By mastering generative techniques, professionals can build AI-powered chatbots, personalized marketing tools, and advanced data synthesis applications. GenAI Training in HSR Layout helps bridge the gap between AI theory and practical, impactful solutions.
Industry Projects of GenAI Course in HSR Layout
- AI Chatbot Development: Build conversational agents capable of natural dialogue and context-aware responses for customer support.
- Image Generation and Enhancement: Use GANs to create realistic images for marketing, fashion, or entertainment industries.
- Automated Content Creation: Develop tools that generate articles, summaries, or reports tailored to specific domains.
- Speech Synthesis Systems: Create text-to-speech applications for accessibility and voice assistants.
- Deepfake Detection Solutions: Implement AI models to identify synthetic media and ensure digital authenticity.
What About GenAI Training Institute in HSR Layout
GenAI Course in HSR Layout offers a robust curriculum combining foundational AI concepts with hands-on experience in modern generative models. Learners get exposure to popular frameworks like TensorFlow, PyTorch, and Hugging Face transformers, preparing them for real-world AI challenges. The course emphasizes ethical AI practices and responsible deployment while covering a wide range of applications from NLP to computer vision. Graduates are ready to innovate and contribute to the fast-growing AI industry
Skills in the GenAI Training in HSR Layout
- Practice with Real Datasets: Engage in projects that use diverse, real-world data to build robust models.
- Explore Open-Source Libraries: Regularly experiment with frameworks like Hugging Face, TensorFlow, and PyTorch.
- Participate in AI Competitions: Join Kaggle and other platforms to solve challenges and learn from the community.
- Stay Updated with Research: Follow recent papers and breakthroughs in generative models and transformer architectures.
- Collaborate on Projects: Work with peers or mentors to share knowledge and tackle complex AI problems collectively.
Company Role Opportunities in the GenAI Course in HSR Layout
GenAI Training Institute in HSR Layout increasingly seek professionals skilled in generative AI for roles like AI Engineer, NLP Specialist, and Computer Vision Developer. Trained GenAI experts can contribute to product innovation, automated content generation, and intelligent assistants across sectors such as IT, healthcare, and entertainment. The growing adoption of AI-driven tools opens pathways to roles in research, development, and AI ethics compliance. GenAI training provides a competitive edge in a market hungry for advanced AI talent.
Career Opportunities After GenAI Training
AI Research Scientist
Focuses on developing novel generative models and algorithms to advance AI capabilities. Works on cutting-edge research, publishing papers, and creating prototypes that push the boundaries of GenAI.
NLP Engineer
Designs and implements natural language processing models for text generation, summarization, and translation. Develops AI-powered chatbots and virtual assistants with contextual understanding.
Computer Vision Specialist
Builds and fine-tunes GANs and other generative models for image and video synthesis, enhancement, and analysis. Applies AI to domains like healthcare imaging and autonomous vehicles.
AI Product Developer
Develops commercial AI products integrating generative models for content creation, personalization, and automation. Bridges technical development with business goals.
Data Scientist
Analyzes complex datasets, trains generative models, and interprets AI outputs to solve business problems. Combines statistical expertise with machine learning skills.
AI Ethics and Policy Analyst
Evaluates the ethical implications of deploying generative AI, ensures compliance with regulations, and develops responsible AI frameworks within organizations.
Skill to Master
Agile mindset and principles
Scrum framework and roles
Understanding of generative model architectures
Proficiency in Python programming for AI
Data preprocessing and augmentation techniques
Fine-tuning large language models (LLMs)
Prompt engineering and optimization
Hands-on experience with deep learning frameworks
Natural language processing (NLP) techniques
Computer vision fundamentals and image generation
Model evaluation, debugging
Deployment of AI models on cloud platforms
Tools to Master
TensorFlow
PyTorch
Hugging Face Transformers
OpenAI GPT APIs
Google Colab
Jupyter Notebooks
Targetprocess
FastAI
NVIDIA CUDA Toolkit
Weights & Biases (W&B) for experiment
Docker for containerization
Streamlit for AI app development
Learn from certified professionals who are currently working.
Training by
Ravi, having 11 yrs of experience
Specialized in: GenAI training focusing on transformer-based language models, computer vision applications, and ethical AI deployment.
Note: Ravi is recognized for her deep knowledge of container orchestration and his ability to bridge the gap between development and operations teams.
We are proud to have participated in more than 40,000 career transfers globally.
GenAI Certification
Yes, GenAI certification with Placement come in various categories tailored to different aspects of generative AI technology. Some focus on natural language processing (NLP), such as large language model fine-tuning, while others specialize in computer vision, like GANs for image synthesis.
Absolutely! GenAI Training Course providers offer placement-focused GenAI certifications designed to bridge the gap between learning and employment. These certifications often include hands-on projects, soft skills development, and interview preparation.
Yes, most GenAI placement course exams can be taken online with remote proctoring to ensure fairness and integrity. This flexibility allows candidates worldwide to complete assessments without traveling. Online exams typically include identity verification and time limits to maintain exam standards.
While prior real-world experience can enhance your understanding, it is not always a strict prerequisite for enrolling or completing a GenAI placement course. Many programs include live projects, internships, and mentorship to simulate practical experience.
Frequently Asked Questions
- Yes, most reputable GenAI certification with Placement programs offer career counseling to help you choose the right path based on your skills, interests, and industry demand.
- Training includes live online classes, video tutorials, and interactive Q&A sessions to ensure real-time engagement and conceptual clarity.
- Learners gain hands-on experience through labs, project-based learning, and quizzes to reinforce knowledge and build job-ready skills.
- AI startups
- Tech giants
- Healthcare firms
- Financial institutions
- E-commerce companies
- Yes, GenAI certification with Placement usually includes certification exams to assess your understanding and practical skills, which boost your employability.
- Definitely! Including live project work is encouraged, as it showcases your hands-on experience and problem-solving abilities to potential employers.










