AI ML Training

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    Tutor: Technologics
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  • Course Code: PGIOT
  • Affilaited: Govt Of India
  • Duration: 30 Days
  • Projects : Yes
  • Skill Level: All
  • Languages: English
  • Softskill: Mandatory
  • Assessments: Self
  • Regular Batch: Mo - Fr
  • Weekend Batch: Sat & Sun

Description

This Artificial Intelligence course You will master TensorFlow, Machine Learning, and other AI concepts, plus the programming languages needed to design intelligent agents, deep learning algorithms & advanced artificial neural networks that use predictive analytics to solve real-time decision-making problems.

Course Objectives

  • Complete knowledge of AI & ML.
  • Able to Program, Test & Debug of Software.
  • Able to develop algorithm in Deep Learning, Neural Network & Tenser Flow.
  • Real-time Projects Execution.

 

Training Highlights

  • 100% Hands-On Practical Oriented Training
  • Industrial experienced faculties
  • Fully Equipped Updated Software and Hardware facility
  • 100% Placement Assistance Track record Till Date
  • Individual Focus
  • Frequent accessibility to Industrial leadership
  • New generation Hardware
  • Free Soft Skills Training

Certification

The primary and overall objective of this course is to give a hands-on experience of AI ML Programming & Algorithm.

  • Lecture 1.1:

    Introduction to Python/R & Why Python/R Programming.

  • Lecture 1.2:

    Data Types And Operators.

  • Lecture 1.3:

    Control Flow, Functions & Scripting.

  • Lecture 1.4:

    Numpy, Pandas, And Matplotlib.

  • Lecture 1.5:

    Numpy Basics, Pandas Basics, Matplotlib Basics.

  • Lecture 1.6:

    Linear Algebra Essentials:

  • Lecture 1.7:

    Introduction Vectors, Linear Combination, Linear Transformation And Matrices, Linear Algebra In Neural Networks

  • Lecture 1.8:

    Lab: Vectors Lab, Linear Combination Lab, Linear Mapping Lab

  • Lecture 1.9:

    Neural Networks: Introduction To Neural Networks

  • Lecture 2.0:

    Training Neural Networks

  • Lecture 2.1:

    Deep Learning With Tensorflow

  • Lecture 1.9:

    Project: Image Classifier With Tensorflow

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