- Introduction to Generative AI
- Historical Context and Evolution of Generative Models
- Types of Machine Learning: Supervised, Unsupervised, and Reinforcement Learning
- Introduction to Deep Learning and Neural Networks
- Understanding the Basics of Deep Learning
- Applications of Deep Learning
Advance Professional Courses
Generative AI Course
This course covers techniques like GANs , VAEs, and diffusion models.
Based on 99 Reviews
- Duration : 1 Month / 3 Months / 6 Months
- Language: English
- Certificate of Completion

Generative AI Course Overview
Want to explore the future of artificial intelligence? Our Generative AI Course is designed to help you master AI models like GPT, DALL·E, and Stable Diffusion. Learn how to create AI-generated content, develop chatbots, and implement deep learning techniques. Gain hands-on experience with Python, TensorFlow, and machine learning frameworks. Whether you’re a beginner or an AI professional, this course provides in-depth knowledge and real-world applications. Enroll now in our Generative AI Course and become an expert in AI-driven creativity!
Why Choose EduNova for Generative AI Course?
EduNova’s Generative AI Course offers expert-led training on AI model development, deep learning techniques, and natural language processing. Our hands-on projects, real-world case studies, and industry-recognized tools like TensorFlow and Python help you build practical AI skills. Whether you’re starting in AI or advancing your expertise, our comprehensive curriculum ensures a strong foundation. With flexible learning options and certification, EduNova prepares you for AI-driven innovation. Join EduNova today and master generative AI!
Supervised Learning
- Naive Bayes Classifier
- K-Nearest Neighbor Classifier
- Decision Tree Classifier
- Support Vector Machine (SVM) Classifier
- Logistic Regression Classifier
- Linear Regression, Lasso & Ridge Regression
Unsupervised Learning
- K-Means Clustering
- Agglomerative Clustering
- FP Growth Method
Reinforcement Learning
- Overview of Reinforcement Learning
- Key Concepts: Agents, Environments, Rewards, Actions
- Basics of Neurons and Artificial Neural Networks
- Types of Neural Networks (Feedforward, Convolutional, Recurrent)
- Deep Neural Network Architectures
- Fully Connected Neural Networks
- Convolutional Neural Networks (CNNs)
- Recurrent Neural Networks (RNNs)
- Practical Coding Implementation of Neural Networks (e.g., with TensorFlow or PyTorch)
- Building a Simple Neural Network Model from Scratch
- Hands-on: Building and Training a Neural Network on a Simple Dataset
What is Generative AI?
- Differences Between Generative and Discriminative Models
Overview of Generative Models
- Autoencoders
- Generative Adversarial Networks (GANs)
- Variational Autoencoders (VAE)
Self-Attention Models
- Single-Head Self-Attention
- Multi-Head Self-Attention
- Transformers: Basic Understanding and Role in Natural Language Processing (NLP)
Famous Large Language Models (LLMs) and Their Architecture
- ChatGPT (GPT-2, GPT-3)
- What is GPT and How It Works
- Chatbot Architecture: How GPT Models are Trained
- Use Cases of GPT Models in Text Generation, Translation, and More
Applications of Generative AI
- Art, Music, and Text Generation
- Healthcare, Finance, and Business Applications
- Ethics and Responsible AI
Future Trends
- Impact of Generative AI on Industries
- Opportunities for Innovation and Research
- Ethical Considerations: AI in Society, AI Governance
This Course Include
- Language: English & Hindi
- Duration : 1 Month / 3 Months / 6 Months
- Learning Mode: At Center ( Only Offline Classes )
- Certificate of Completion
Eligibility Criteria
✅ Anyone with basic computer knowledge can join our courses based on their preferences and career goals.
✅ Suitable for all age groups and backgrounds, including:
- School Students – Build a strong foundation in coding and technology.
- Job Seekers & Undergraduates – Gain in-demand skills to enhance employability.
- Working Professionals & Government Employees – Upskill for career growth and new opportunities.
- Homemakers – Learn and explore career opportunities in the tech industry.
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About Mrs. Haninder Kaur
Haninder Kaur, an MCA graduate with over 5 years of experience, specializes in Python, Artificial Intelligence (AI), and Machine Learning (ML). She is passionate about leveraging these technologies to develop innovative solutions that solve complex problems. Haninder has contributed to projects involving data analysis, predictive modeling, and automation. Her ability to break down complex concepts into digestible knowledge makes her an excellent mentor for those eager to explore AI and ML. Haninder’s expertise and forward-thinking approach position her as a key player in the rapidly evolving tech landscape.
Based on 99 Reviews
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- ISO: 9001:2015 Certified Artificial Intelligence Certification.
- Certificates are globally recognized & they upgrade your programming profile.
- Certificates are generated after the completion of course.














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Python
Data science
Artificial Intelligence
Digital marketing
Cyber Security
Data Analytics
Quantum computing/ Cloud computing
Android App development
Web development
