Generative AI Training in Hyderabad
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Generative AI Training in Hyderabad – TrainingMedal
Curriculum - Generative AI Training in Hyderabad
- Introduction to programming and Python IDE setup
- Variables, data types, and type conversions
- Conditional statements and loops
- Mathematical operations and built-in functions
- Strings, lists, tuples, sets, and dictionaries – usage and methods
- Date/time modules, calendars, and time-based functions
- Writing and using functions, modules, and packages
- File handling – reading, writing, and managing files
- Error handling and exceptions in Python
- Object-Oriented Programming (OOP) – classes, objects, inheritance
- Method overriding, constructors (__init__), encapsulation
- Regular expressions – pattern matching, modifiers, and search functions
- Introduction to Flask – creating web apps using Python
- Basics of Python libraries like NumPy, Pandas, Matplotlib
- History and evolution of AI
- Key concepts: agents, environments, and search algorithms
- Applications of AI in different domains (finance, healthcare, etc.)
- AI workflow and project lifecycle
- Introduction to AI ethics and responsible AI development
- Working with large datasets using Pandas
- Data cleaning and preprocessing
- Visualizing data using Matplotlib and Seaborn
- Exploratory data analysis (EDA) techniques
- Understanding data distributions, trends, and patterns
- Linear algebra: vectors, matrices, and matrix operations
- Calculus basics: derivatives, gradients, and optimization
- Probability and statistics concepts needed for AI models
- Vector spaces and dimensionality reduction concepts
- Understanding supervised and unsupervised learning
- Linear regression and logistic regression models
- Evaluation metrics: accuracy, precision, recall, F1-score
- Data splitting, cross-validation, and bias-variance tradeoff
- Decision Trees, Random Forests
- Gradient Boosting Machines (GBM), XGBoost, LightGBM
- Overfitting and regularization techniques
- Hyperparameter tuning using Grid Search and Random Search
- Introduction to neural networks and perceptrons
- Activation functions and forward propagation
- Building and training neural networks from scratch
- Introduction to The deep learning frameworks like TensorFlow and Keras
- Multi-layered neural networks and hidden layers
- Understanding epochs, batch size, and learning rates
- Overfitting and underfitting in deep learning
- Dropout and regularization in deep networks
- Step-by-step explanation of backpropagation
- Cost functions and gradient descent
- Tuning learning parameters for improved accuracy
- Hands-on model optimization exercises
- Understanding parameters vs hyperparameters
- Techniques to improve model performance
- Practical experiments with tuning layers, neurons, and epochs
- Use of learning rate schedulers and optimizers
- Basics of computer vision and image data
- Image classification and object detection
- Image processing with OpenCV
- Applications of computer vision in real-life industries
- CNN architecture: convolutional layers, pooling, flattening
- Building a CNN model from scratch
- Image feature extraction and recognition
- Projects: Face detection, Image categorization
- Concept of transfer learning and pre-trained models
- Using models like VGG, ResNet, Inception for custom tasks
- Fine-tuning vs feature extraction techniques
- Hands-on implementation using TensorFlow/Keras
- Residual connections and advanced architecture
- Building complex models for large datasets
- Object localization and segmentation
- YOLO, SSD models introduction (overview level)
- Tokenization, stemming, and lemmatization
- Text preprocessing: stop words, lowercasing, punctuation removal
- Bag of Words, TF-IDF, and vectorization
- Text classification and sentiment analysis
- Word embeddings – Word2Vec, GloVe
- Sequence modeling with RNNs and LSTMs
- Understanding attention mechanism
- Building chatbot and text generation systems
- Time series analysis fundamentals
- LSTM and GRU networks for time series data
- Predictive modeling for sales, demand, and weather
- Real-world project: stock price prediction
- Encoder-decoder architecture
- Application in machine translation
- Building seq2seq models using TensorFlow/Keras
- Use cases in chatbots and speech systems
- Introduction to Transformers, BERT, and GPT
- Self-attention mechanism
- Fine-tuning pre-trained transformer models
- Text summarization, Q&A systems using transformers
- What is Generative AI and how it works
- Overview of Large Language Models (LLMs) like ChatGPT, Llama
- Role of generative models in text, image, and audio generation
- Use cases and current industry trends
- Understanding GAN architecture – generator vs discriminator
- Training GANs and avoiding mode collapse
- Image generation with GANs
- Applications in media, fashion, and art
- Building with GPT models using APIs
- Effective prompt crafting for custom outputs
- Use of LangChain, OpenAI API, Hugging Face tools
- Project: Building a custom chatbot using GPT-3.5 or GPT-4
- Reusing NLP models for domain-specific tasks
- Fine-tuning BERT/GPT for custom data
- Improving results with smaller datasets
- Building simple and deep autoencoders
- Data compression and feature learning
- Applications in fraud detection and image denoising
- Case studies across e-commerce, healthcare, education
- Deployment basics with Flask, FastAPI
- Overview of AI in mobile and web apps
- Speech-to-text and text-to-speech models
- Audio feature extraction
- NLP techniques for call center analysis and voicebots
- What is RL and where it is used
- Core concepts: agent, environment, reward
- Introduction to Q-learning and policy gradients
- Deep Q-Networks (DQNs)
- RL applications in robotics, gaming, automation
- Project: AI-based game bot
Key Points - Generative AI Training in Hyderabad
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About - Generative AI Training in Hyderabad
Definitely Generative AI Training in Hyderabad
Description of the Course
At Training Medal
What is Generative AI
These models include technologies like Generative Adversarial Networks (GANs) and Transformers, which are used to build applications such as:
- Automated content writing and summarization
- Image and video generation
- Voice and music synthesis
- Design mock-ups and artwork
- Simulations and predictive models in research
Tools You Will Learn in the Generative AI Course
TensorFlow
A powerful open-source framework from Google used for building and training deep learning models.
PyTorch
A flexible machine learning library developed by Meta, ideal for research and production use in building AI applications.
Keras
An easy-to-use API that works with TensorFlow to help developers create and manage neural networks quickly.
Hugging Face Transformers
A library that offers access to pre-trained language models, making tasks like text generation and summarization much easier.
OpenAI GPT
One of the most well-known language models used to generate natural and human-like text outputs.
Jupyter Notebooks
An interactive environment that helps in writing, testing, and explaining code with real-time outputs.
NVIDIA CUDA
Used to accelerate computing processes in AI model training through GPU-based performance optimization.
Google Colab
A cloud-based notebook platform that allows students to write and execute code from any device without setup.
Docker
Used to build and package applications, making it easier to deploy AI models across different environments without compatibility issues.
All these tools are introduced with real-time use cases and examples, so you gain hands-on experience throughout your learning journey.
Skills You Will Gain After the Course
Completing the Generative AI training at TrainingMedal equips you with a strong and practical skillset required to work in today’s AI industry. Some of the key skills include:
- Building and customizing generative AI models using popular frameworks
- Generating realistic text, images, and audio using AI-based tools
- Understanding deep learning and machine learning fundamentals
- Applying GANs, Transformers, and Autoencoders to solve practical problems
- Managing and evaluating AI models to ensure optimal performance
- Developing ethical awareness around AI content creation and responsible deployment
- Working with real-time AI project scenarios and datasets
- Using industry-standard AI tools for development and deployment
The training focuses not just on theory but also on practical exposure through case studies, capstone projects, and collaborative tasks.
Career Opportunities in Generative AI
AI Research Scientist
Focuses on researching and developing new AI techniques and models to improve generative outputs.
Machine Learning Engineer
Designs, builds, and optimizes machine learning systems including generative models for real-world applications.
Data Scientist
Applies generative AI for data analysis, predictive modeling, and generating synthetic datasets for training.
AI Developer
Builds intelligent software solutions using AI to create new text, images, and audio content.
Computer Vision Engineer
Specializes in building and training models for image and video creation, editing, and enhancement using AI.
Natural Language Processing (NLP) Engineer
Develops AI systems for tasks such as text generation, chatbots, summarization, and translation.
AI Product Manager
Leads the creation and management of AI-based products that incorporate generative features.
AI Consultant
Helps organizations implement generative AI solutions to improve workflows and develop new capabilities.
Ethics and Compliance Specialist
Ensures that AI solutions are developed and used in ways that meet ethical and legal standards.
AI Trainer or Educator
Teaches students or corporate teams about generative AI tools, techniques, and applications.
As more industries adopt generative AI to power creative, scientific, and operational processes, professionals trained in this technology will continue to find opportunities across India and globally.
Companies Hiring Generative AI Professionals
Placement Support at TrainingMedal
At TrainingMedal, we offer a structured placement support program tailored to help students transition into successful careers in Generative AI. This includes:
- One-on-one career counseling to identify the right path based on your strengths and goals
- Professional resume building and portfolio assistance to present your skills confidently
- Mock interviews and soft skill training to prepare you for real-world job scenarios
- Access to exclusive job opportunities through our industry partnerships
- Recruitment drives and job fairs to connect students directly with hiring companies
Our placement team is committed to aligning your career objectives with relevant roles in the industry, ensuring that you are fully prepared for competitive job markets.
Key Features of the TrainingMedal Placement Program
- 3-Month Advanced Curriculum: Learn through a rigorous, hands-on training program that includes real-world assignments and skill-building exercises.
- Live Project Experience: Gain practical exposure by working on industry-standard projects from start to finish.
- Capstone Projects: Apply your knowledge by completing multiple capstone projects that demonstrate your expertise to potential employers.
- Simulated Work Environments: Train in environments designed to mimic real workplace scenarios to enhance readiness and confidence.
- Interview Coaching: Receive tailored interview preparation sessions focused on technical and behavioral aspects.
This structured approach helps you build real skills, enhance employability, and secure roles in AI-focused organizations.
Traditional Training vs. TrainingMedal’s Generative AI Program
Traditional Training | TrainingMedal’s Generative AI Program |
Focused mostly on theory | Emphasis on real-world practical training aligned with industry standards |
Limited practical exposure | Hands-on project work and use of real datasets |
No job support post-training | Complete placement assistance and career guidance |
Generalized syllabus | Industry-curated curriculum with advanced topics |
High upfront fees | Affordable training with flexible payment options |
Few or no industry ties | Strong partnerships with hiring companies across sectors |
Fast-paced, unstructured delivery | Systematic and comprehensive 3-month training program |
Job Opportunities in Generative AI
Generative AI is reshaping job roles across domains. Professionals skilled in this technology can explore various high-growth careers, including:
- AI Researcher – Focus on developing and improving generative models
- Machine Learning Engineer – Build and deploy AI systems in production
- Data Scientist – Leverage generative AI for advanced data modeling and analytics
- Computer Vision Specialist – Apply AI to image and video creation and analysis
- NLP Engineer – Work on language-based applications like chatbots and content generation
- AI Developer – Build creative tools and applications using generative models
- AI Product Manager – Lead teams to design and deliver AI-powered solutions
- AI Consultant – Advise businesses on AI integration and automation strategies
- AI Instructor – Train individuals and corporate teams in Generative AI skills
- Ethics and Compliance Analyst – Ensure responsible development and deployment of AI solutions
With thousands of openings across the globe, now is the ideal time to begin your career in generative AI.
Course Prerequisites
To make the most of the Generative AI course at TrainingMedal, the following foundational knowledge is recommended:
- A basic understanding of programming languages, especially Python
- Familiarity with core concepts in machine learning and statistics
- A grasp of linear algebra and calculus to understand model architectures
- Prior exposure to data analysis and manipulation tools for working with datasets
Even if you don’t have all these prerequisites, our instructors will help bridge the gap with foundation-level sessions before diving into advanced concepts.
Generative AI Market Insights
The generative AI landscape is evolving at an unprecedented pace. Here’s how the market is growing and what trends are shaping its future:
- Rapid adoption across industries for creating text, images, videos, and more
- Widely used in creative fields like design, marketing, content creation, and animation
- Innovations in GANs, Diffusion Models, and Transformers driving technological advancements
- Strong adoption in healthcare for tasks like medical imaging and drug discovery simulations
- Companies investing in AI to automate repetitive and creative workflows
- Emergence of user-friendly platforms making AI more accessible to non-technical users
- Increasing discussions on ethics, accountability, and responsible use of AI content
- Growing demand for professionals skilled in prompt engineering and model fine-tuning
- Expanding opportunities in both startup ecosystems and large-scale enterprises
- Rising focus on AI governance and compliance as enterprise usage scales up
Generative AI is not just a technological trend—it is transforming the way businesses operate and content is created.
TrainingMedal’s Generative AI Course Achievements
At TrainingMedal, we take pride in delivering industry-relevant Generative AI training that drives real success. Here are some of our key milestones:
- 100+ Active Learners currently enrolled and learning cutting-edge AI skills
- 15+ Years of Combined Trainer Experience in AI, machine learning, and data science
- 5+ Batches Successfully Completed, producing skilled professionals in Generative AI
- Expert Faculty with a passion for mentoring and hands-on instruction
Join our growing community of learners and start your journey in Generative AI with confidence.
Highlights of the Generative AI Course at TrainingMedal
- Comprehensive Curriculum: Covers essential topics such as deep learning, machine learning, NLP, and AI ethics.
- Hands-on Learning: Real-world projects involving text, image, and audio generation to build practical skills.
- Expert Faculty: Learn from industry veterans with years of experience in generative AI technologies.
- Beginner to Advanced: Suitable for newcomers as well as professionals seeking to upskill.
- Flexible Modes: Both online and offline options available to suit different schedules.
- Access to Premium Tools: Learners get access to exclusive AI platforms and resources.
- Career Guidance: Dedicated career support and networking opportunities to help you grow.
- Certification: Receive a recognized certificate from TrainingMedal upon course completion.
- MLOps Module: Learn how to manage machine learning operations in real-world environments.
Certification in Generative AI
Earning a Generative AI certification is a powerful way to validate your skills in one of the most rapidly advancing fields in technology. These certifications showcase your ability to work with AI models capable of generating unique content—whether it’s text, images, audio, or video.
At TrainingMedal, our certification in Generative AI confirms your proficiency in working with technologies like GANs (Generative Adversarial Networks), Transformers, and other deep learning architectures. This credential serves as proof of your practical and theoretical knowledge, making you stand out in the competitive job market.
Why Certification Matters:
- Industry Recognition: Certified professionals are more likely to get shortlisted for interviews and high-paying roles.
- Career Advancement: Open doors to roles in AI development, machine learning engineering, and AI research.
- Skill Validation: Gain structured proof of your expertise in working with cutting-edge generative models.
- Global Opportunities: Many international employers seek AI professionals with recognized certifications.
Popular Generative AI Certifications You Can Pursue:
- Google Cloud – Professional Data Engineer
Covers cloud-based ML solutions and includes components of generative AI in its learning path. - Deep Learning Specialization (Coursera, Andrew Ng)
Offers comprehensive training in deep learning with segments dedicated to generative models. - Microsoft – AI and Machine Learning Foundations
Provides a solid base in AI technologies, including applications involving generative algorithms. - Udacity – GANs Specialization
A focused course specifically on GANs, ideal for deep diving into generative model design. - Meta AI Engineering Certificate
Covers diverse AI topics and includes modules on generative modeling techniques. - NVIDIA Deep Learning Institute
Offers certification in deep learning, including modules on content generation and model training. - Stanford University – Machine Learning Certification
Features comprehensive content that covers algorithms relevant to generative AI. - ✅ You will receive a recognized Generative AI Certificate from TrainingMedal upon completing our training program, which adds credibility to your profile and helps boost your career.
Who can Attend Generative AI Training
Our Generative AI Training In Hyderabad
- Non IT background students or professionals
- No age limiations
Training Modes – Learn the Way You Prefer
Classroom Training (Hyderabad)
- In-person learning at our Ameerpet centre
- Group interaction and live hands-on practice
- Face-to-face trainer interaction and real-time support
Online Training
- Live virtual classes from anywhere in India
- Access session recordings for anytime revision
- Digital practice labs and online assignments
Corporate Training
- Custom-designed modules for company teams
- Onsite or remote training based on requirements
- Daily progress tracking and post-training evaluation
Why Choose - Generative AI Training in Hyderabad
Learn From Industry Experts
100% Placement Assistance
Real Time Projects
Certification On Completion
Practical Assignments
One On One Mentorship
Why Should We Learn Generative AI
As we know in 2024 majority of the
- Create Website in Days
- Access to tools
Why Choose TrainingMedal for Generative AI Training in Hyderabad?
1. Industry-Leading Mentors
2. Up-to-Date Curriculum
3. Hands-On Projects
4. Real-Time Case Studies
5. Personalized Learning
6. Job Assistance
7. Smart Infrastructure
8. Flexible Learning Schedules
9. Demo Before You Decide
Jobs - Generative AI Training in Hyderabad
Digital Marketers
Blogger
Software Industries
Independents Business
Testimonials - Generative AI Training in Hyderabad
Anil Meena Kumar
Daisy Jones
Sai Kumar
Amreender
Anil Chauhan
Ashwin Kumar
Sunil G
Suchith
Frequently Asked Questions (FAQs)
The Generative AI course by TrainingMedal in Hyderabad is a comprehensive, career-focused training program that teaches students how to build and deploy AI models that generate text, images, audio, and more using technologies like GANs and Transformers.
This course is ideal for software developers, data scientists, AI enthusiasts, engineering students, and working professionals who want to gain practical skills in Generative AI and enhance their career opportunities in Hyderabad’s growing tech market.
Yes, TrainingMedal’s Generative AI course is suitable for both beginners and experienced professionals. Foundational modules ensure beginners are brought up to speed, while advanced topics challenge experienced learners.
The training covers machine learning, deep learning, GANs, Transformers, NLP, model training, deployment, and ethical AI practices—all essential for mastering Generative AI technologies.
You’ll work with Python, TensorFlow, PyTorch, OpenAI APIs, Hugging Face Transformers, Jupyter Notebooks, and Google Colab—tools widely used in the AI and ML industry.
Yes, the program includes multiple real-time projects such as text generation, image synthesis, and deepfake creation to help students gain industry-ready experience in generative AI development.
Absolutely. TrainingMedal offers 100% placement support with resume building, mock interviews, job referrals, and access to hiring partners in Hyderabad and pan-India.
The course runs for approximately 3 months, with options for regular weekday and weekend batches to suit both students and working professionals.
Yes, all students who complete the program successfully receive a Generative AI Certification from TrainingMedal, which is recognized by employers and hiring partners.
Basic programming knowledge (preferably Python) and familiarity with machine learning concepts are helpful but not mandatory. Introductory modules are included.
TrainingMedal offers flexible pricing with affordable fees, EMI options, and installment plans to make the program accessible to students from all backgrounds.
Yes, TrainingMedal provides both online live sessions and offline classroom training in Hyderabad, giving learners the flexibility to choose their preferred mode.
Entry-level Generative AI Engineers in Hyderabad can earn between ₹6 to ₹12 LPA, with experienced professionals earning upwards of ₹20 LPA depending on skills and experience.
TrainingMedal offers a project-driven curriculum, industry expert trainers, job support, real-world case studies, and flexible learning—all tailored to Hyderabad’s booming tech sector.
You can enroll by visiting our website, filling out the contact form, or directly calling our Hyderabad branch. A free counseling and demo session is also available to help you get started.