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Generative AI Course

This course covers techniques like GANs , VAEs, and diffusion models.

Based on 99 Reviews

EduNova|Artificial Intelligence

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!

Key Features
Globally Recognised Certification
Dedicated Placement Cell & HR Support
Live Online and Offline Classes
Dedicated doubts Session
Lifetime Career Guidance & Job Change Support
Highly Skilled Trainers
Course Topics You will Learn
Overview of Generative AI
  • 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
Foundational Concepts of 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
Introduction to Deep Learning and Neural Networks
  • 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
Introduction to Generative AI

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

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.

Premium Course

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    Who will Teach You
    Haninder Kaur
    Haninder Kaur
    Artificial Intelligence

    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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    Frequently Asked Questions
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    What skills are in-demand in the job market?

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    Yes, we offer installment plans for fee payments. Contact us.

    What skills are in-demand in the job market?

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

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