Course description

  • Enhanced Efficiency and Productivity
  • Data-Driven Decision Making
  • Improved Customer Experience
  • Innovation and Problem Solving
  • Healthcare Advancements
  • Enhanced Security
  • Accessibility and Inclusivity
  • Economic Growth

  • Artificial Intelligence (AI) is the simulation of human intelligence processes by machines, especially computer systems.
  • These processes include learning (acquiring information and rules for using the information), reasoning (using rules to reach approximate or definite conclusions), and self-correction.
  • AI has become an integral part of various industries, transforming how we live, work, and interact with technology.

  • Artificial Intelligence (AI) is the simulation of human intelligence processes by machines, especially computer systems.
  • These processes include learning (acquiring information and rules for using the information), reasoning (using rules to reach approximate or definite conclusions), and self-correction.
  • AI has become an integral part of various industries, transforming how we live, work, and interact with technology

  • Overview of AI and its evolution
  • Applications across industries (healthcare, finance, etc.)
  • Ethical considerations in AI
  • Setting up the development environment (Python, Jupyter, Anaconda)
  • Introduction to Python for AI
    1. Python programming basics
    2. Essential libraries: NumPy, Pandas, Matplotlib

  • Linear Algebra for AI
    1. Vectors, matrices, eigenvalues/eigenvectors, matrix operations
  • Calculus and Probability
    1. Derivatives, chain rule, gradient descent
    2. Probability theory and Bayesian statistics

  • Supervised Learning
    1. Regression (Linear, Ridge, Lasso)
    2. Classification (Logistic Regression, Decision Trees, SVM)
  • Unsupervised Learning
    1. Clustering (K-Means, DBSCAN)
    2. Dimensionality reduction (PCA, LDA)
    3. Model evaluation (cross-validation, hyperparameter tuning)

  • Neural Networks Basics
    1. Activation and loss functions, optimizers
    2. Introduction to TensorFlow/Keras
  • CNNs and RNNs
    1. CNN architecture and applications (image classification)
    2. RNNs for time series and NLP (LSTM, GRU)

Tool 1

FLASK

Tool 2

NLTK LIB

Tool 3

Python

Tool 4

Scikit-learn

Skill level

Expiry period

Lifetime
Annual Salary
Source: Glassdoor
Hiring Companies
American Express Honeywell Accenture Wipro Wipro
Source: Indeed
Annual Salary
Source: Glassdoor
Hiring Companies
American Express Honeywell Accenture Wipro Wipro
Source: Indeed
Annual Salary
Source: Glassdoor
Hiring Companies
American Express Honeywell Accenture Wipro Wipro
Source: Indeed
Annual Salary
Source: Glassdoor
Hiring Companies
American Express Honeywell Accenture Wipro Wipro
Source: Indeed

Why STELLARAA


One on One Interaction
Expert Instruction
Comprehensive Course
Career Support
LMS Access
Live Interaction
Internship
Corporate Certificate
Capstone Project

CAPSTONE PROJECTS

Handwritten Digit Recognition using CNN

AI Chatbot for Customer Support

CERTIFICATIONS

Certificate 1
Certificate 2
Certificate 3


ESSENTIAL

₹5999

  • 6+ Hrs of Live Sessions
  • Industrial Projects
  • Recorded Videos
  • Certifications
  • Mentor Support
  • One On One Doubt Clearing Sessions
  • Placement Guidance
  • Interview Assistance
Select Plan


ELITE

₹14999

  • 24+ Hrs of Live Sessions
  • Industrial Projects
  • Recorded Videos
  • Certifications
  • Mentor Support
  • One On One Doubt Clearing Sessions
  • Placement Guidance
  • Interview Assistance
Select Plan

Recognized By

Credential Platform Partners

WIPRO

Contact us

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Email

support@stellaraa.com,
collabs@stellaraa.com

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Our address

106 6TH CROSS ITTAMADU ,
BSK 3RD STAGE,
Bangalore Karnataka 560085

Office hours

11:00 AM - 8:00 PM

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