Master Generative AI: Real-Time Training and Certification Online
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- Learn LIVE from the Masters of Industry
- Real life Case-studies and Projects
- Greenfield Implementation project experience
- Placement Preparations & Mock interviews
- Mock interview and Resume preparation
- Huge database of training documents
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The top choice for ambitious students, professionals, and leading organizations.
About the Course
Generative AI (GenAI) is a branch of artificial intelligence that creates new content, such as images, music, text, and videos, by learning patterns from large datasets. Unlike traditional AI, which analyzes existing data, GenAI generates entirely new, synthetic content. This makes Generative AI a versatile tool for industries like art, entertainment, marketing, and many more.
The importance of GenAI lies in its ability to transform various sectors by enabling creative innovation and improving efficiency. From personalized learning in education to enhanced drug discovery in healthcare, Generative AI is reshaping industries and offering new opportunities for growth and development. As Generative AI continues to evolve, it provides a promising avenue for those looking to pursue careers in technology, including Generative AI courses online with certification and real-time training.
Program Highlights
Industry Experts
Capstone Projects
Hands-on Learning
Industry-Aligned Curriculum
Career guidance
Accredited Certification
Future-Ready Skills
AI-powered Resume building
Leading the way in practical education
Students Trained
0
Facilitated Placements
0
Hours of Training
0
Years Operations
0
We are widely accredited
Know your Mentor
- Extensive expertise in applying AI and ML within the financial services industry
- Specialized in designing ML project architectures, managing ML Ops, NLP, Computer Vision, and other technologies
- Passionate about training learners with cutting-edge knowledge and hands-on experience
- Successfully delivered 15+ AI projects across diverse sectors
- Adept at integrating theoretical concepts with practical applications to foster a deep understanding
- 10+ years of experience
- 5000+ hours of training
- Trained 7000+ students
Master Generative AI Course Curriculum
This course offers a comprehensive introduction to Generative AI, equipping students with the skills needed to develop and deploy AI models that can create new content such as text, images, audio, and code. Students will learn how to work with leading-edge tools and frameworks like OpenAI’s GPT, DALL·E, Stable Diffusion, and more, while gaining a solid foundation in deep learning and neural network architectures.
A Generative AI course typically includes key topics such as transformer models, natural language processing (NLP), text generation, image synthesis, and prompt engineering. Students will learn how to fine-tune pre-trained models, evaluate model outputs, handle ethical considerations, and deploy generative models in real-world applications. The course also emphasizes hands-on learning with real-world projects in areas like content creation, chatbots, synthetic media, and AI-assisted design.
By the end of the course, learners will be prepared for roles such as Generative AI Developer, AI Product Specialist, or Machine Learning Engineer, with practical experience in building and optimizing generative models across multiple modalities.
Module 1: Introduction to Generative AI
- What is Generative AI?
- History and Evolution of Generative AI
- Key Concepts and Terminologies
- Applications of Generative AI in Various Industries (Art, Music, Healthcare, etc.)
- Overview of Machine Learning and Deep Learning
Module 2: Understanding Machine Learning Fundamentals
- Supervised vs Unsupervised Learning
- Neural Networks Basics
- Deep Learning: Introduction and Key Concepts
- Gradient Descent and Backpropagation
- Introduction to Model Evaluation Metrics
Module 3: Types of Generative Models
- Introduction to Generative Models
- Overview of Popular
- Generative Models:
- Generative Adversarial
- Networks (GANs)
- Variational Autoencoders (VAEs)
- Autoregressive Models (like PixelCNN, PixelSNAIL)
Diffusion Models - Transformer-based Models for Generation (e.g., GPT, BERT, T5)
- Differences Between Discriminative and Generative Models
Module 4: Generative Adversarial Networks (GANs)
- Introduction to GANs
- Architecture of GANs (Generator and Discriminator)
- Training GANs: Challenges and Solutions
- Types of GANs:
- DCGAN (Deep
- Convolutional GAN)
- Conditional GAN (cGAN)
- CycleGAN
- Applications of GANs in Image Generation, Art, and Style Transfer
Hands-on Project: Building a Simple GAN to Generate Images
Module 5: Variational Autoencoders (VAEs)
Introduction to VAEs
Understanding Autoencoders and Variational Autoencoders
Mathematical Foundations of VAEs
Applications of VAEs in Image Generation and Data Imputation
Hands-on Project: Building and Training a VAE
Module 6: Autoregressive Models for Generation
- Introduction to Autoregressive Models
- How Autoregressive Models Work (PixelCNN, WaveNet, GPT)
- Applications in Text and Audio Generation
- Training and Fine-tuning Autoregressive Models
- Hands-on Project: Text Generation Using GPT
Module 7: Diffusion Models
- Introduction to Diffusion Models
- Key Concepts Behind Diffusion Processes
- Understanding Denoising Diffusion Probabilistic Models (DDPM)
- Applications of Diffusion Models in Image Synthesis and Other Creative Tasks
- Hands-on Project: Image Generation with Diffusion Models
Module 8: Natural Language Generation (NLG)
- Introduction to NLG
- Text Generation Models: GPT, T5, BERT
- Training a Text Generation Model
- Fine-tuning Pre-trained Models for Specific Tasks
- Applications of NLG: Chatbots, Content Creation, Summarization
- Hands-on Project: Building a Chatbot with GPT-3 or GPT-4
Module 9: Ethical Considerations in Generative AI
- Bias in Generative Models
- Deepfakes and Ethical Concerns
- Copyright and Ownership in AI-Generated Content
- Generative AI and Misinformation
- Responsible Use of Generative AI
Module 10: Advanced Techniques in Generative AI
- Fine-tuning Pre-trained Models
- Transfer Learning in Generative Models
- Meta-learning and Few-shot Learning
- Combining Generative Models with Reinforcement Learning
- Real-time Applications and Innovations in Generative AI
Module 11: Case Studies and Real-World Applications
- AI in Art and Music Generation
- Generative AI in Healthcare: Drug Discovery, Diagnostics
- AI for Data Augmentation and Synthetic Data Generation
- Applications in Gaming: Procedural Content Generation
- AI in Marketing: Personalized Content Creation
Module 12: Future of Generative AI
- Trends and Future Developments in Generative AI
- Role of Generative AI in the Metaverse
- Integration with AR/VR and Blockchain
- Research and Opportunities for Developers and Data Scientists
- Challenges Ahead for Generative AI
Module 13: Hands-on Projects & Capstone
- Capstone Project: Implementing a Generative AI Application
- Real-time Data Generation (Text, Images, Music, etc.)
- Final Project Presentation
- Code Review and Feedback
- Preparing for Industry Roles in Generative AI
Who is this course for?
- Tech Enthusiasts: Anyone passionate about data, AI, and solving real-world problems. No prior coding experience? No problem—our beginner track starts from scratch!
- Transition seekers: Professionals from IT, engineering, business or analytics looking to pivot into data science.
- Working Professionals: Mid-level professionals who want to enhance their current roles by leveraging data-driven decision-making or move into data-centric leadership roles like Data Analyst, BI Developer, or Data Product Manager.
- Entrepreneurs & Freelancers: Business owners and consultants aiming to make smarter business decisions by using data insights, improving marketing strategies, tracking KPIs, and driving growth through data intelligence.
- Managers & Team Leads: Leaders looking to better understand data workflows, dashboarding, and reporting tools to effectively manage data teams or collaborate with tech stakeholders.
- Academic Aspirants: Students preparing for higher education or research in fields like artificial intelligence, data science, statistics, or machine learning who want a strong practical base before pursuing advanced studies.
Training Delivery
Discovery call
A call to evaluate training requirements and adjust course and delivery accordingly.
Tech call with the Certified Instructor
A call with the Certified Instructor to address specific queries and requirements.
Design of Customized Curriculum
Tailored curriculum to meet specific learning objectives and organizational needs.
Training and Access to LMS
Commencement of training sessions along with access to the Learning Management System.
Live training
Live training sessions conducted in real time to facilitate interactive learning experiences.
Hands on Role Based training with Labs
Interactive training featuring hands on exercises and specialized labs tailored to specific skillset
Course Materials Access using LMS
Access course materials conveniently through the Learning Management System.
Student Progress Metrics
Monitor student progress through comprehensive metrics and analytics.
Final Quiz in Gamification style
Concluding the training with a gamified final quiz to engage learners and reinforce key concepts.
Certificate of Completion (Verifiable)
Participants provided with a verifiable Certificate of Completion upon successfully finishing the training.
Student Video Testimonial
Watch heartfelt testimonials from our students, sharing their firsthand experiences and
success stories about their transformative learning journeys at our institution.
Hear from our students
Explore firsthand accounts of student experiences. Hear their stories, triumphs, and insights that make our community exceptional. Real voices, real impact.
Thanks GTR Academy
If you are willing to start your career in SAP or if you are already an SAP professional and want to enhance your knowledge for better career growth , Then GTR Academy is one stop solution for all of us . As the mentor is extremely professional and has a wide experience in multiple MNCs , The depth knowledge and level of teaching that is provided by Mentor is truly remarkable . They are highly dedicated and does justice to the trainings offered, Thanks for guiding us right.
7 Days Ago
Thanks GTR Academy
If you are aspiring to build your career in SAP consulting, GTR Academy is the best platform. I like to thank GTR Academy and GTR Academy especially for the consistent guidance and motivation. I recommend you GTR Academy 100% to get trained and enhance your knowledge on different SAP modules.
10 Days Ago
Thanks GTR Academy
GTR Academy is platform which not only gives us a knowledge but also provide a chance to develop skills & show case our talent. This platform is helping to many job aspirants like me. Special thanks to GTR Academy for always supporting.
10 Days Ago
Thanks GTR Academy
I've started preparing in SAP in Feb 2021, I posted a document on LinkedIn to present my skill and fortunately GTR Academy saw my post and suggest me take it as challange for 21 days and present your skills and gave suggestions on each document and after completion of 21 days I started getting to many calls and got offer from top 3 MNC's and finally choose NTT Data. I really thank to GTR Academy for that one suggestion which not only gives me a job as well to identify my potential.
10 Days Ago
Generative AI
Classroom / Live Online
₹60000
- INR 30,000 now and INR 30,000 post placement of 3 months
Generative AI
Recorded 6 Months Access
₹14999
- Generative AI classes with unlimited mocks, a comprehensive question bank, and personalized doubt solving.
Welcome to GTR Academy, your ultimate destination for top-notch online training and education. Since 2021, we have empowered 10,000+ students and facilitated 9200 placements, helping you step up, learn today, and lead tomorrow!
Contact Us
23, 2nd Cros, Near Malnad, Coaching Centre, MHR Layout, Bangalore North, Karnataka, India, 560090
09650518049
connect@gtracademy.org
| Starting Live Classes Batch | Date | Batch Timing | Weekend Batches |
|---|---|---|---|
| SAP MM SAP SD SAP ABAP SAP FICO |
3rd May | 8:00 PM - 9:00 PM 9:00 PM - 10:00 PM |
2:00 PM - 5:00 PM |
| Data Science & AI | 3rd May | 7:00 PM - 8:15 PM | 10:00 AM - 12:00 PM (from 20th April) |
| Power BI | 21st April | 9:00 PM - 10:00 PM |
