Upcoming Online Instructor Led Courses

Recognized at par with QIP for recognition/credits. Certificates to the participants by E&ICT Academy IITR.

Full Stack Web Development

Venue: Through Online Instructor Led (Live Classes)

(01st October-14th October, 2020)

  • Basics of front end & back end development
  • Introduction to HTML and CSS
  • Fundamentals of JavaScript, Creating forms with HTML
  • Website Hosting, Creating Programs in PHP
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    Data Analytics and Machine Learning using Python

    Venue: Through Online Instructor Led (Live Classes)

    (05th October-19th October, 2020)

  • Tuples, Set, Dictionaries & Functions
  • Statistics, Hypothesis Testing, Distributions
  • Decision Tree, Random Forest
  • Heuristic Approaches of ML
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    Mathematics for Machine Learning and AI

    Venue: Through Online Instructor Led (Live Classes)

    (10th October-07th November, 2020)

  • Elementary Row Operations, Determinant and Inverse of the Matrix
  • Quadratic Forms, Vector Norms, Matrix Norms
  • Spectral Decomposition, Low Rank Approximation, Principal Component Analysis
  • Case Studies on Probability/Statistics based data analysis with Python
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    Deep Learning and its Applications

    Venue: Through Online Instructor Led (Live Classes)

    (19th October-02nd November, 2020)

  • Basics of Python, Numpy, Pandas and Matplotlib
  • Supervised, unsupervised and reinforcement learning
  • Sentiment analysis from movie reviews, Projects using Keras
  • Human Face Detection, Dog's breed Identification
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    Development and Operations (DevOps)

    Venue: Through Online Instructor Led (Live Classes)

    (26th October-08th November, 2020)

  • Introduction to DevOps, DevOps concepts and practice
  • Version Control, Local setup for live practice of all DevOps tools
  • Cloud Computing, Nexus and Ansible
  • Monitoring tools, Apache Tomcat and Apache https
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    Data Science using Python

    Venue: Through Online Instructor Led (Live Classes)

    (28th October-10th November, 2020)

  • Introduction to packages in Python
  • Numpy, Pandas, EDA
  • Supervised and Unsupervised Learning
  • Image processing with MLP (Multi-layer perceptron)
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