infyni

Introduction to AI and ML with Generative AI

Embark on a transformative learning journey with our "Introduction to AI and ML with Generative AI" course. Explore the fundamentals of Artificial Intelligence and Machine Learning, and dive into the exciting realm of Generative AI.

Live Course

Live Class: Tuesday, 05 Mar

Duration: 30 Hours

Enrolled: 0

Offered by: infyni

Live Course
$1050 50% off

$525

About Course

Whether you're a beginner or have some experience in the field, this course provides a solid foundation and practical insights into the fascinating world of AI and ML. Delve into the core concepts, algorithms, and applications that drive these technologies, and explore the cutting-edge realm of Generative AI, where machines learn to create, innovate, and generate content autonomously.


Skills You Will Gain

Understanding AI and ML Fundamentals Data Preprocessing and Cleaning Supervised Learning Unsupervised Learning Generative AI Concepts Model Evaluation and Metrics Ethical Considerations in AI

Course Offerings

  • Instructor-led interactive classes
  • Clarify your doubts during class
  • Access recordings of the class
  • Attend on mobile or tablet
  • Live projects to practice
  • Case studies to learn from
  • Lifetime mentorship support
  • Industry specific curriculum
  • Certificate of completion
  • Employability opportunity
  • Topics
  • Instructor (1)
  • What is Artificial Intelligence (AI)?
  • Understanding Machine Learning (ML)
  • Types of Machine Learning: Supervised, Unsupervised, and Reinforcement Learning
  • The role of AI and ML in modern technology and industry
  • What is Generative AI?
  • Generative models: An overview
  • Autoencoders and Variational Autoencoders (VAEs)
  • Generative Adversarial Networks (GANs)
  • Applications of generative AI in text, image, and other domains
  • Introduction to Natural Language Processing (NLP)
  • Pre-processing text data
  • Sentiment analysis and text classification
  • Named Entity Recognition (NER)
  • Word embeddings and word2vec
  • Seq2Seq models for text generation
  • Recurrent Neural Networks (RNNs) and Long Short-Term Memory (LSTM)
  • Attention mechanisms
  • Transformer architecture and its applications
  • Practical hands-on exercises on text generation using AI
  • Leveraging text-based AI models for chatbots and virtual assistants
  • Recommender systems and content generation
  • Real-world use cases and case studies
  • Ethical considerations in AI and ML applications
  • Students will work on a practical project to apply their knowledge and skills in a real-world context, with guidance and support from the instructor.