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Bootcamp Course Ages 17–40 Online 24 hr Certificate 3.5 (1)

Complete course on AI, Machine Learning & Deep Learning from Zero to Hero (Part 3)

This course provides advanced concepts of artificial intelligence. Students will learn in-demand skills such as machine learning, deep learning, NLP, generative AI, and many more.

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Sample build · Class 04

This course provides advanced concepts of artificial intelligence. Students will learn in-demand skills such as machine learning, deep learning, NLP, generative AI, and many more. Students will learn to approach problems in a systematic, data-driven way, which can be applied to various real-world challenges beyond just AI. Studying AI and ML can deepen your understanding of human intelligence and cognition, providing insights into how we learn, think, and make decisions.

What you'll learn
  • Neural networks and their architecture.
  • Activation functions, loss functions, and optimization techniques.
  • Training neural networks using backpropagation.
  • Image recognition and classification using CNNs.
  • Transfer learning with pre-trained CNNs.
  • Sequence modelling and time-series prediction.
  • Applications in natural language processing (NLP).
  • Transformer architecture
  • How GANs work: generator and discriminator.
What you get
  • Introduction to Deep Learning
  • Convolutional Neural Network
  • Recurrent Neural Network
  • Generative AI
  • Applications of Generative AI
  • GANs
Prerequisites
  • Previous knowledge of Python Advanced Course
Skills you'll build
Additional ProjectsConceptual SkillsCreativity & InnovationLogical ThinkingPerseverancePresentation & Communication SkillsProblem Solving
Curriculum

4 modules. 24 hours.

01 Convolutional Neural Network 3 sections
  • Convolutional Neural Network
  • Image Classification using CNN
  • Transfer Learning with pre-trained CNN
02 Recurrent Neural Network 7 sections
  • Recurrent Neural Network
  • Long Short Term Memory
  • Gated Recurrent Unit (GRU)
  • Time Series prediction
  • Applications in Natural Language Processing
  • Text Classifications in NLP
  • Part 3 - Quiz
03 Generative AI 3 sections
  • Generative AI
  • Generative Adversarial Networks
  • Train Generative Adversarial Network (GAN)
04 Applications of Generative AI 2 sections
  • Untitled Section
  • Part 3 - Final Quiz
Who teaches

Engineers who build, not lecturers who read slides.

KM
Kavita Mali
Robotics Engineer · 6 yrs
Specialises in embedded C, ROS, and capstone mentorship.
KV
Kiran Verma
Robotics Engineer · 4 yrs
Lead instructor for AI & Python tracks.
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