Bootcamp Course Ages 17–44 Online 24 hr Certificate
Complete course on AI, Machine Learning & Deep Learning from Zero to Hero (Part 2)
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.
Watch a 90-second preview
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
- Clustering in Machine Learning
- K-means clustering algorithm
- Hierarchical clustering
- Hyperparameter Tuning(GridSearchCV)
- Ensemble Learning (Bagging)
- L1 and L2 Regularization
- Principal Component Analysis (PCA)
- Natural Language Processing
- Text processing Techniques
- Stemming And Lemmatization
- Dimensionality Reduction Techniques
- Bias Vs Variance
What you get
- Introduction to AI
- Machine Learning
- Supervised Learning
- Unsupervised Learning
- Dimensionality Reduction Technique
- Natural language Processing
- Hyperparameter Tuning
- L1 and L2 Regularization
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 Unsupervised Learning
- Clustering in Machine Learning
- K-means clustering algorithm
- Hierarchical clustering
- Hyperparameter Tuning(GridSearchCV)
02 Untitled Module
- Overfitting And Underfitting
- Ensemble Learning (Bagging)
- L1 and L2 Regularization
- Bias Vs Variance
- Dimensionality Reduction Techniques
- Principal Component Analysis (PCA)
- Part 2 : Quiz 1
03 Natural language Processing
- Natural Language Processing
- Text processing Techniques
- Stemming And Lemmatization
04 Introduction to Deep Learning
- Introduction to Deep Learning
- Activation function
- Loss Function
- Optimizer
- Training Neural Network using backpropagation
- Implementation of Neural Network in TensorFlow
- Part 2 - 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.
