Dexterity
ARTIFICIAL INTELLIGENCE
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Part 1 : Preparatory sessions
Python
Linux
Part 2: GIT
What is version control?
Types of version control.
Introduction to GIT.
GIT lifecycle.
Common GIT commands.
Working with branches in GIT.
Merging branches
GIT workflow
Part 3 : Python with data science
Introduction to data science using python.
Python basic constructs.
OOP’s in python.
NUMPy for mathematical computing
SciPy for scientific computing
Data manipulation
Python integration with spark
Part 4 : Advanced Statistics
Central tendency
Variability
Hypothesis testing
Correlation
Regression
Part 5 : Machine learning and Predictions Algorithms
Supervised learning
Unsupervised learning
Dimensionality reduction
Part 7 : CNNS ( convolution neural networks)
Why and when we need MLOps
AI pipelines
Training, tuning, and serving on AI platform
Kube Flow pipelines on AI platform
CI/CD for Kube flow pipelines
Part 6 : AI and Deep learning using TensorFlow
Introduction to Deep Learning and Neural Networks
Multi-layered Neural Networks
Artificial Neural Networks and various methods
Deep Learning libraries
Part 8 : Data visualization with Tableau
Introduction to data visualization
Architecture of Tableau
Working with metadata and data blending
Creation of sets
Working with filters
Organizing data and visual analytics
Working with mapping
Part 9: Natural Language Processing and its applications
Overview of Natural Language Processing and text mining
Text mining, cleaning, and processing
Text classification, Sentence structure, sequence tagging, sequence tasks, and language modeling
Introduction to semantics and vector space models
Dialog systems
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