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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
AI Text Generator using GPT Models
Build a simple chatbot or writing assistant using OpenAI's GPT API to generate coherent responses or short stories.
Image Caption Generator
Create a basic tool that generates captions for images using a pre-trained vision-language model like BLIP or CLIP.
AI-Powered Meme Generator
Combine text generation and image templates to automatically create humorous memes.
Voice Cloning with Text-to-Speech
Use models like Tacotron or ElevenLabs to clone voices and generate realistic audio from text input.
Style Transfer for Images
Implement neural style transfer to blend the content of one image with the artistic style of another.
AI-Based Resume Builder.
Build a tool that uses GenAI to auto-generate or improve resumes based on user input and job descriptions.
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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13 - Oct - 2025 Starts Coming Monday ( Monday - Friday) 08:00 AM (IST)
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15 - Oct - 2025 Starts Coming Wednesday ( Monday - Friday) 10:00 AM (IST)
Weekend Regular (Class 3Hrs) / Per Session
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18 - Oct - 2025 Starts Coming Saturday ( Saturday - Sunday) 10:00 AM (IST)
Weekend Fast-track (Class 6Hrs - 7Hrs) / Per Session
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19 - Oct - 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
Reasons to Consider Enrolling in GenAI Placement in Hyderabad
GenAI placement with Certification programs equip learners with the latest skills in generative AI models, empowering them to build innovative AI applications. These programs combine hands-on experience, industry-relevant projects, and placement support, making graduates highly employable. Hyderabad’s booming tech ecosystem offers vast opportunities for GenAI specialists. The curriculum is designed to bridge theory with practical applications, preparing students for real-world challenges. Personalized career guidance and interview preparation are additional benefits.
Overview of the Most Recent Tools used in GenAI Course in Hyderabad
Modern GenAI training with Certification in Hyderabad leverages cutting-edge tools like OpenAI’s GPT models, Hugging Face transformers, and Google’s TensorFlow. These tools facilitate natural language processing, image generation, and multimodal AI development. Cloud platforms such as AWS and Azure provide scalable environments for training large models. Additionally, tools like Jupyter Notebook and Colab offer interactive coding and experimentation. Continuous updates ensure that learners work with the latest AI research and implementations.
Techniques and Trends in GenAI Training in Hyderabad
- Transfer Learning: Using pre-trained models to accelerate training and improve performance.
- Fine-Tuning: Adapting general AI models to specific tasks or domains for better accuracy.
- Multimodal AI: Combining text, image, and audio inputs for richer AI applications.
- Reinforcement Learning: Teaching AI agents to make decisions through reward-based learning.
- Ethical AI Practices: Emphasizing responsible AI use and bias mitigation in model development.
Requirements for GenAI Placement in Hyderabad
- Basic programming knowledge in Python or JavaScript. This foundation helps you write and understand AI model code effectively.
- Understanding of machine learning fundamentals and data structures. Essential for grasping how generative models learn and process data.
- Access to a computer with GPU support for efficient model training. GPUs significantly speed up training time for complex AI models.
- Willingness to work on projects involving large datasets. Handling big data is crucial for training accurate and robust models.
- Familiarity with cloud platforms or willingness to learn. Cloud services enable scalable model training and deployment.
Goals Achieved and Potential Career Paths for GenAI Programmers
GenAI training with Certification in Hyderabad enables professionals to design, implement, and optimize generative models across various industries. Graduates can pursue careers as AI Researchers, Data Scientists, Machine Learning Engineers, and AI Product Developers. The program also builds competencies in deploying AI solutions that generate content, automate tasks, and enhance user experiences. These skills open doors to sectors such as healthcare, finance, entertainment, and autonomous systems.
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 course Certification guarantees a job by providing industry-relevant skills and placement support.
Placement certification exams typically require foundational knowledge of programming (especially Python), basic understanding of machine learning concepts, and familiarity with AI frameworks like TensorFlow or PyTorch.
Yes, most GenAI certification exams can be taken online, providing flexibility for candidates worldwide. Online exams are usually proctored to maintain integrity and require a stable internet connection.
Yes, Investing time and money in a GenAI course is highly worthwhile due to the rapidly growing demand for AI professionals. The course offers practical skills that are directly applicable in industries like healthcare, finance, and entertainment.
Frequently Asked Questions
- Yes,GenAI placement with Certification is designed to accommodate beginners by starting with foundational concepts before moving to advanced generative AI topics.
- Software developers.
- Data scientists.
- AI enthusiasts
- Professionals
- Generative AI Engineers
- AI Researchers
- Machine Learning Engineers
- NLP Specialists
- AI Product Managers
- Yes, upon successfully finishing the course, you will receive a certification recognized by industry professionals.
- The program includes live projects involving building and fine-tuning generative models, offering hands-on experience with real datasets and challenges.