Course Content
AI: Big Data and AI
0/5
Introduction to Big Data and AI
06:37
Data Processing and Analytics
05:00
Advanced Analytics and AI Techniques
04:21
Applications and Case Studies
04:31
Hands-on Exercise Data Pre-processing
14:16
AI: Artificial Intelligence on the Cloud
0/7
Introduction to Cloud Computing and AI
04:22
Hands-on Exercise on pandas data frame
11:57
AI Services on Cloud Platforms
05:03
Hands-on Exercise NLP on cloud
13:55
Big Data and AI Integration on the Cloud
04:37
Hands-on Exercise Exploratory data analysis
09:43
Advanced Topics and Future Trends
04:31
AI: AI in Banking
0/4
Introduction to AI in Banking
09:46
AI Applications in Banking Operations
04:12
AI for Customer Experience Enhancement
04:52
Future Trends and Ethical Considerations
04:44
AI: Exploring Feature Selection
0/6
Introduction to Feature Selection
04:12
Filter Methods
07:32
Hands-on Exercise Information Gain Classification and Regression
07:41
Wrapper Methods
05:32
Embedded Methods and Advanced Techniques
07:00
Hands-on Exercise Feature Selection Techniques
09:15
AI: Chatbots
0/4
Introduction to Chatbots
06:26
Building AI-based Chatbots
08:42
Advanced Chatbot Techniques
03:53
Ethical Considerations and Future Trends
03:45
AI: White Box XAI for AI Bias & Ethics
0/4
Introduction to AI Bias and Ethics
06:28
Interpretability and Explainability in AI
03:33
Fairness in AI
02:59
Case Studies and Best Practices
03:39
Essential ML: Machine Learning and Python
0/6
Introduction to Python for Machine Learning
03:43
Hands-on Exercise Introduction to Python
26:11
Introduction to NumPy and Pandas
03:41
Hands-on Exercise Python working with Pandas and NumPy
19:39
Introduction to Machine Learning with Scikit-Learn
10:41
Model Deployment and Real-world Applications
07:33
Essential ML: Supervised Learning – Classification and Regression
0/5
Introduction to Supervised Learning and Linear Regression
12:46
Hands-on Exercise Linear Regression
10:41
Classification Algorithms
10:33
Hands-on Exercise Classification Algorithms Part-1
09:48
Advanced Classification Techniques
08:32
Essential ML: Unsupervised Learning – Detecting Patterns
0/7
Introduction to Unsupervised Learning and Clustering
07:58
Hands-on Exercise Clustering Algorithms
12:49
Density-based Clustering and Dimensionality Reduction
06:55
Hands-on Exercise DBSCAN
11:43
Association Rule Mining and Anomaly Detection
08:15
Hands-on Exercise Apriori Algorithm
06:02
Advanced Topics and Real-world Applications
06:12
Essential ML: Dimensionality Reduction
0/8
Introduction to Dimensionality Reduction and Principal Component Analysis (PCA)
14:15
Hands-on Exercise Dimensionality Reduction PCA
08:30
Linear Dimensionality Reduction Techniques
07:42
Hands-on Exercise Linear Dimensionality Reduction Algorithms
11:17
Non-linear Dimensionality Reduction Techniques
08:31
Hands-on Exercise Non-linear Dimensionality Reduction Algorithms
07:26
Advanced Topics and Applications
09:28
Hands-on Exercise Autoencoders
09:28
Essential ML: Visualising Data and Machine Learning
0/6
Introduction to Data Visualisation and Basic Plotting
06:21
Hands-on Exercise Data Visualisation
13:02
Advanced Plotting Techniques
07:59
Dimensionality Reduction Techniques for Visualisation
05:36
Hands-on Exercise Visualising Dimensionality Reduction Techniques
06:51
Interactive Dashboards and Real-world Applications
05:07
NLP: Natural Language Processing Using Python
0/8
Introduction to Natural Language Processing (NLP) Fundamentals
04:52
Hands-on Exercise NLP Fundamentals
06:54
Text Representation and Feature Extraction
06:04
Hands-on Exercise Text Representation and Feature Extraction
12:04
Text Classification and Sentiment Analysis
10:13
Hands-on Exercise Naive Bayes Classifier
09:14
Advanced NLP Techniques and Applications
05:11
Hands-on Exercise Sentiment Analysis
11:56
NLP: Transform Text File into Data Structure
0/5
Reading and Parsing Text File
09:03
Hands-on Exercise Reading and Parsing Text File
12:22
Data Structure Selection and Design
08:19
Transforming Text Data into Data Structures
06:50
Data Structure Manipulation and Analysis
07:30
NLP: Word Embedding and Text Distance Metrics
0/6
Introduction to Word Embeddings
09:24
Hands-on Exercise Introduction to Word Embeddings Traditional Approaches
14:11
Advanced Word Embeddings Techniques
08:49
Hands-on Exercise Introduction to Word Embeddings Pre-tained Models Approaches
13:03
Introduction to Text Distance Metrics
09:20
Advanced Text Distance Metrics and Applications
05:45
NLP: Document, Sentence and Character Level Embeddings
0/5
Introduction to Document Embeddings
04:48
Hands-on Exercise Introduction to Word Embeddings Neural Approaches
07:17
Introduction to Sentence Embeddings
05:40
Character-Level Embeddings
05:40
Advanced Techniques and Applications
08:11
NLP: Text Data Analysis
0/4
Introduction to Text Data Analysis
05:26
Text Mining and Feature Extraction
05:59
Text Classification and Sentiment Analysis
06:07
Advanced Text Analysis Techniques and Applications
04:59
Certified Artificial Intelligence Developer Program
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