COLLABORATION WITH


Artificial Intelligence : With Python


Enrolled Students:- 150+
Resume Shortlisted:- 40+
Got Hired:- 10+
Life time access for customized Dashboard
Earn program completion and Internship completion certificate


Career Options

  1. Machine Learning Engineer
  2. Data Scientist
  3. Business Intelligence Developer
  4. Research Scientist
  5. Big Data Engineer
  6. Big Data Architect

What will you learn?

  1. Basic and Advanced Python
  2. Concept of Statistics
  3. Conceptualization and working of Machine Learning
  4. Artificial Intelligence and Neural Networks
  5. Introduction to LSTM
  6. Capstone Project

Skills Gained



  1. Understanding foundational concepts and techniques in machine learning using Python.
  2. Proficiency in using Python for processing and analyzing human language data.
  1. Ability to work with image and video data, applying Python-based AI techniques for computer vision.
  2. Skills in developing AI models and applications using Python, covering various aspects of artificial intelligence.


PROGRAM LESSONS

Chapter 1 - Introduction to Artificial Intelligence
  • 1.1-Python Crash course Introduction
  • 1.2 Python Intro and Installation
  • 1.3 Basic,Number,string
  • 1.4 Data types
Chapter-2 Introduction to Python
  • 2.1 Introduction to Python
  • 2.2 Introduction to Python Programming
  • 2.3 Basis of Python Programming
  • 2.4 Python Programming - 1
  • 2.4 Python Programming - 2
Chapter 3- Introduction to Matplotlib
  • 3.1 Introduction to Matplotlib
  • 3.2 Matplotlib Plots
  • 3.3 Matplotlib Styles - 1
  • 3.4 Matplotlib Styles - 2
  • 3.5 Matplotlib Plots Variants
Chapter 4- Introduction to Numpy
  • 4.1 Introduction to Numpy
  • 4.2 Numpy Types
  • 4.3 Numpy Arrays
  • 4.4 Numpy Array Attributes
  • 4.5 Numpy Math
Chapter 5- Introduction to Pandas
  • 5.1 Introduction to Pandas
  • 5.2 Pandas Reading Data
  • 5.3 Pandas Dataman - 1
  • 54 Pandas Dataman - 2
  • 5.5 Pandas Dataman - 3
Chapter 6 -Introduction to Machine Learning _ Unsupervised Learning
  • 6.1 Introduction to Machine Learning_UnSupervised Learning
Chapter 7 - Intro to Tensorflow
  • 7 Introduction to Tensorflow
  • 7.1 Introduction to Keras
  • 7.2 Clustering
  • 7.3 Introduction to Deep Learning
  • 7.4 Natural Language Processing
  • 7.5 Reinforcement Machine Learning
Chapter 8 - MS: Introduction
Chapter 9 MS: Azure AI Fundamentals
  • 9.1 Fundamentals
  • 9.2 Azure AI Fundamentals
  • 9.3 Responsible AI
  • 9.4 Responsible AI
Chapter 10 MS:Azure ML
  • 10.1 ML
Chapter 11 MS: AzureCV
  • 11.1 Analyze Images with CV
  • 11.2 Classify Images with CV
  • 11.3 Detectand Analyze Face with Faceservice
Chapter 12 MS: AzureNLP
  • 12.1 AzureBot
  • 12.2 Conversational Language Understanding
  • 12.3 NLP
  • 12.3 Recognize and Synthesize Speech
  • 12.4 Recognize and Synthesize Speech
  • 12.5 Translate Text and Speech
Chapter 13 MS:Azure Knowledge Mining
  • 13.1 Knowledge Mining
Check Curriculum


PROJECT

Design
NEWS CLASSIFICATIONS

News NLP: Categorizing news using language processing.

Content
DEEP LEARNING

Fashion MNIST DL: Deep learning for fashion classification.


Design
Landmark Detection

Landmark Detect: Identifying significant locations in images.

Content
Vision Transformer

Vision Transformer: Exploring transformer models for images.


Design
Handwritten Digit Classification

Handwritten Digits: Classifying handwritten numbers.

Content
Recognition Of Objects

Object Recognition: Detecting and identifying objects in visuals.




PRICING PLANS

Standard Plan

Rs. 1999

+18% GST
  • Program Duration : 2 month
  • 2 Major Projects
  • 30+ Hours of content
  • Internship Offer Letter
  • Internship Completion Certificate
  • Program Completion Certficate
  • Fee is applicable only for the platform
Buy Now
Student Choice

Rs. 2699

+18% GST
  • Program Duration : 3.5 months
  • 25+ Hours of Content
  • 4 Projects
  • Live Sessions During Project Execution & Training
  • Microsoft Certification
  • Internship Offer Letter
  • Internship Completion Certificate
  • Project Report
  • Fee is applicable only for the platform and Microsoft certification examination
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