CURRICULUM

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.
fsRightImage
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
Python Programming
Mathematics for Data Science
Dimensionality Reduction
SQL Programming
Unsupervised Learning
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
downArrow
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
downArrow
Unit 3
DIMENSIONALITY REDUCTION
  • Feature Selection
  • Feature Selection
  • Principal Component Analysis(PCA)
  • Discriminant Functions
  • Linear Discriminant Analysis(LDA)
  • Exploratory Factor Analysis(EFA)
downArrow
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)
downArrow
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)
downArrow
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
downArrow
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
Wondering if this course is right for you?Explore career paths of your interests.