Applied AI Course

ai and machine learning-min

Course duration: 24 hours real time session + 16 hours hands-on

Batches Available: Weekend / Weekday

Ideal For: The course is ideal for beginners and intermediate level developers, data architects and tech leads handling a team of analysts

Post course benefits: Lifetime access to online repository, Mock interview support, Project support

Recruitment support: eAgeIT will propose candidates of this program for any open opportunities with its client portfolio. We do not guarantee placement. This will be purely merit based support.

Course Objectives:

  • The purpose of machine learning is to discover patterns in your data and then make predictions based on those often, complex patterns to answer business questions, and help solve problems. Machine learning helps analyse your data and identify trends
    • Exposure to any server technology (J2EE, .NET, Ruby etc)
    • Data preprocessing techniques, Univariate and Multivariate analysis, Missing values and outlier treatment etc
    • Implement linear and polynomial regression, understand Ridge and lasso Regression,
    • Implement various type of classification methods including SVM, Naive bayes, decision tree, and random forest
    • Interpret Unsupervised learning and learn to use clustering algorithm


  • Basic Python programming knowledge and fundamentals of data analysis required
  • Basic knowledge of statistics and mathematics is good to have

Detailed Coverage:

  1. Introduction
    • Data science & its importance
    • Key Elements of Data Science
      • Data Warehousing
      • Business Intelligence
      • Data Visualization
      • Data Mining
      • Machine Learning
      • Artificial Intelligence
      • Cloud Computing
      • Big Data
    • Artificial Intelligence: A preview
      • What is Artificial Intelligence & its importance
      • Artificial Intelligence vs Machine Learning
  2. Crash Course on python
    • Python basics (If-Else, Control Structures, Loops, Functions, Data Types, Comprehensions)
    • Data structures (Lists, dictionaries, tuples, sets)
    • Numpy, Pandas and Scipy modules
    • Code modularization
    • Scikit-Learn package for machine learning
    • Data visualization with Matplotlib and Seaborn
    • Statistics with Python
    • Data import techniques
    • Advanced EDA techniques
  3. Applied Machine Learning
    • Linear Regression
    • Logistic Regression
    • Decision/Classification Tree o Ensemble Models
      • Bagging
      • Boosting
      • Random Forest
    • K-Nearest Neighbours (KNN)
    • Naive Bayes o Support Vector Machine
    • Confusion Matrix
    • Dimensionality Reduction
    • PCA
    • Factor Analysis
    • Unsupervised Machine Learning algorithms
      • Clustering with K-means Clustering
      • Clustering with Hierarchical Clustering
      • Advanced clustering techniques and use cases
    • Association Rules Mining and Recommendation Systems
      • Collaborative Filtering
      • Content Based Filtering
      • Apriori Algorithm
    • Time Series Analysis
    • Cross Validation
    • Bias-Variance Trade off
    • Overfitting and Underfitting
    • Regularization
    • Parameter tuning & grid search optimization
  4. Deep Learning
    • Introduction to neural networks
    • Linear Algebra basics
    • Tensor Flow basics
    • CNN, RNN, LSTM high level overview
  5. Case Study And Projects
    • Predicting Housing Price
    • Predicting credit card defaulter (Yes or No)
    • Customer segmentation
    • Time series forecasting and Others
    • Image classification (Tensor Flow)
  6. Assignments
    • Students would be given challenging real-life cases to solve – just to augment their learning skills


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Course Content

Time: 10 weeks

Curriculum is empty



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Customized, Immersive, Hands-On Driven

INR 20000/-

INR 9999/-


  • Real time virtual classes
  • Pre course reading material
  • Suppliment resources
  • Language: English
  • Certificate of completion

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Your Dream Course Is Only A Step Away

Your Dream Course Is Only A Step Away

Your Dream Course Is Only A Step Away

Your Dream Course Is Only A Step Away

Your Dream Course Is Only A Step Away