GenAI Training in HSR Layout

  • Build real-world AI applications in text, image, and code generation
  • Learn the fundamentals of Generative AI, including LLMs, transformers.
  • Get career support through expert mentorship, portfolio development
  • Gain hands-on experience with tools like Midjourney and frameworks
  • Understand ethical AI use, prompt engineering with GenAI Course in HSR Layout
Hands On   40+ Hrs
Projects   4 +
Placement Support   Lifetime Access
3K+

    ⭐ Fees Starts From ₹ 14,499 ₹ 26,000
    (Lowest price in chennai)

    See why over 25,000+ Students choose ACTE

    Curriculum of GenAI Training in HSR Layout

    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

    •  
      30+  Case Studies & Projects
    •  
      9+  Engaging Projects
    •  
      10+   Years Of Experience
  • Overview of Artificial Intelligence and Machine Learning
  • Introduction to Generative AI and its applications
  • Understanding large language models (LLMs) and transformers
  • Types of generative models (GANs, VAEs, Diffusion models)
  • Key use cases in text, image, audio, and video generation
  • Ethical considerations and responsible AI usage
  • Basics of neural networks and deep learning
  • Activation functions and loss functions
  • Training neural networks and backpropagation
  • Overfitting, underfitting, and regularization techniques
  • Introduction to TensorFlow and PyTorch frameworks
  • Understanding transformer architecture
  • Pre-training and fine-tuning LLMs
  • Prompt engineering techniques
  • Using pretrained models like GPT, BERT, and T5
  • Tokenization and input encoding
  • Hands-on with Hugging Face transformers library
  • Limitations and challenges of LLMs
  • Introduction to Generative Adversarial Networks (GANs)
  • Architecture of GANs: Generator and Discriminator
  • Training GANs and common challenges
  • Variational Autoencoders (VAEs) basics
  • Diffusion models for image generation
  • Hands-on with popular image generation frameworks
  • Basics of NLP tasks and pipelines
  • Language modeling and text generation
  • Text summarization and translation
  • Sentiment analysis and text classification
  • Chatbot development using GenAI
  • Fine-tuning language models for specific domains
  • Evaluating generated text quality
  • Overview of generative models for audio and video
  • Text-to-speech (TTS) and speech synthesis
  • Music generation using AI
  • Video synthesis and deepfake technology
  • Ethical concerns and detection of synthetic media
  • Tools and libraries for audio/video generation
  • Principles of effective prompt design
  • Strategies for prompt optimization
  • Fine-tuning pre-trained models on custom datasets
  • Transfer learning techniques
  • Managing biases in generative models
  • Deploying fine-tuned models in applications
  • Performance monitoring and model updates
  • Building APIs for GenAI models
  • Cloud platforms for hosting AI models (AWS, Azure, GCP)
  • Containerization with Docker
  • Scaling and load balancing AI applications
  • Monitoring model performance in production
  • Planning and designing a GenAI project
  • Implementing and training generative models
  • Testing and optimizing model outputs
  • Deploying the project for real-world use
  • Building a portfolio showcasing GenAI skills
  • Resume building and interview preparation
  • Exploring career paths and freelance opportunities
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    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

    • 01 - Dec - 2025 Starts Coming Monday ( Monday - Friday) 08:00 AM (IST)
    • 03 - Dec - 2025 Starts Coming Wednesday ( Monday - Friday) 10:00 AM (IST)

    Weekend Regular (Class 3Hrs) / Per Session

    • 06 - Dec - 2025 Starts Coming Saturday ( Saturday - Sunday) 10:00 AM (IST)

    Weekend Fast-track (Class 6Hrs - 7Hrs) / Per Session

    • 07 - Dec - 2025 Starts Coming Saturday ( Saturday - Sunday) 10:00 AM (IST)

    Enquiry Form

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      • 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.

      Add-Ons Info

      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
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      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
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      Our Instructor

      Learn from certified professionals who are currently working.

      instructor
      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.

      Job Assistant Program

      We are proud to have participated in more than 40,000 career transfers globally.

      GenAI Certification

      Certificate
      GET A SAMPLE CERTIFICATE
    • Access to expert trainers with real-world Agile experience.
    • Opportunities to work with HSR Layout-based IT firms practicing Agile.
    • Affordable training options with flexible schedules.
    • 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.

    • Growing adoption of AI-powered automation solutions.
    • Increasing demand in industries like healthcare, entertainment, and finance.
    • High need for AI professionals skilled in cutting-edge generative models.
    • 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.

    • AI Research Scientist
    • NLP Engineer
    • Computer Vision Specialist
    • AI Product Developer
    • Data Scientist
    • 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.

    • Gain expert guidance to navigate complex AI concepts effectively.
    • Access to curated, up-to-date course material and industry insights.
    • Accelerates learning through personalized feedback and mentorship.
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      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.

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      Get a Live FREE Demo

      • Flexibility: Online, weekends & more.
      • Hands-on: Projects & practical exercises.
      • Placement support: Resume & interview help.
      • Lifelong learning: Valuable & adaptable skills.
      • Full curriculum: Foundational & advanced concepts.

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