Certification in AI and Machine Learning in Collaboration with E&ICT Academy, IIT Guwahati
Certification in AI and Machine Learning in Collaboration with E&ICT Academy, IIT Guwahati
COURSE SUMMARYThe Certification in Artificial Intelligence and Machine Learning program has been designed in collaboration with E&ICT Academy, IIT Guwahati and industry leaders to provide the best learning outcome to the aspiring machine learning and artificial intelligence learners. This 9-month extensive program will help you prepare for the Data Scientist, Data Analyst, Machine Learning Engineer, and AI Engineer roles.You will build a strong foundation of data science concepts and industry experts will help you learn practical implementation of machine learning, deep learning, and AI techniques through real-world projects from diverse industries.
Master ML & AI skills through this most relevant course designed by E&ICT Academy, IIT Guwahati and industry leaders.
Extensive coverage of data science, machine learning, deep learning, NLP and Computer vision.
Get hands-on experience with 20+ real-world projects.
Still need more clarity?Take a free demo and experience the program first hand.
CERTIFICATION IN AI AND MACHINE LEARNING IN COLLABORATION WITH E&ICT ACADEMY, IIT GUWAHATI
Supervised Learning
Deep Learning
Speech, Vision & NLP
Machine Learning & Cloud
Career Services & Capstone Project
Python Programming
Mathematics for Data Science
Dimensionality Reduction
SQL Programming
Unsupervised Learning
Supervised Learning
Deep Learning
Speech, Vision & NLP
Machine Learning & Cloud
Career Services & Capstone Project
Python Programming
Mathematics for Data Science
Dimensionality Reduction
SQL Programming
Unsupervised Learning
Supervised Learning
Deep Learning
Speech, Vision & NLP
Machine Learning & Cloud
Career Services & Capstone Project
Unit 1
PYTHON PROGRAMMING
Intro to programming & python
Datatypes
Operators
Expressions
Conditionals
Loops
Functions
Recursion
OOPS Concepts
Data Structures
Numpy
Pandas
Error Handling
Scikit-learn library
Unit 2
MATHEMATICS FOR DATA SCIENCE
Linear Algebra
Calculus
Statistics & Probability
Linear Regression & Outlier Rejection
Optimization and its techniques/types
Constrained and Unconstrained Optimization
Basics of Mathematical Preliminaries
Stochastic Search
Model validation
PSO and Genetic Algorithm
Unit 3
DIMENSIONALITY REDUCTION
Feature Selection
Feature Selection
Principal Component Analysis(PCA)
Discriminant Functions
Linear Discriminant Analysis(LDA)
Exploratory Factor Analysis(EFA)
Unit 4
UNSUPERVISED LEARNING, GENERATIVE MODELS AND PATTERN DISCOVERY
Introduction to Unsupervised Learning
Spherical K-Means and Incremental Clustering
K-Means Clustering
Hierarchical Agglomerative Clustering and DBSCAN
Mean-shift Clustering
Estimation Theory
PLSA & Sequence Mining
Association Mining Rule
Hidden Markov Model (HMM)
Unit 5
SUPERVISED LEARNING AND DISCRIMINATIVE MODELS
Introduction To Supervised Learning
Bayesian Classification and Performance Analysis
Logistics Regression
Perceptron
Multilayer Perceptron
MLP: Backpropagation and Applications
K-NN and RBF, ANN
Data Balancing Techniques And Applications
Classification and Regression Trees
Decision Trees and Random Forest
Support Vector Machines (SVM)
Unit 6
DEEP LEARNING
Introduction to Deep Neural Network
Convolutional Neural Network
Implementation of ConvNet/CNN from scratch
Convolutional Neural Network (ConvNet/CNN)
Architectures ConvNet/CNN Demonstration
Unit 7
SPEECH, VISION, NLP
Image Processing using OpenCV
Signal Processing
SciPy
Introduction to Natural Language Processing (NLP)
N-gram Language mode
Vector Semantics
NLP Library
Neural Models for NLP
NLTK
Unit 8
MACHINE LEARNING & CLOUD
Cloud fundamentals
ML tools on Cloud (AWS, Azure, GCP)
Deploying ML project on cloud
Unit 9
CAREER SERVICES & CAPSTONE PROJECT
Resume Building
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