Odissitech

See how we apply Artificial Intelligence to create smart, adaptive systems that mimic human thinking and solve complex challenges.

What We Do

Artificial Intelligence In Action

Artificial Intelligence simulates human intelligence in machines—enabling them to learn, reason, and make decisions using data-driven algorithms and adaptive learning.

Smart Automation

Automate decision-making processes in real time using intelligent algorithms that mimic human logic.

Pattern Learning

Analyze massive data sets to uncover trends, predict outcomes, and adapt to evolving situations.

Real-World Applications

Used in virtual assistants, autonomous systems, healthcare, finance, and smart environments.

📘 Course Curriculum

Artificial Intelligence

A detailed journey into Artificial Intelligence, exploring data science, machine learning, deep learning, and real-world applications.

Module 01

Intro to Python

Learn Python basics—syntax, data types, and flow.

Module 02

Data Science & AI Basics

Grasp core data science and AI concepts.

Module 03

Python for DS

Use Pandas, NumPy, and Matplotlib for analysis.

Module 04

ML Types

Explore supervised, unsupervised, reinforcement learning.

Module 05

Regression

Predict values using regression techniques.

Module 06

Classification

Categorize data using ML algorithms.

Module 07

Bagging

Combine models for higher accuracy.

Module 08

Boosting

Boost weak learners for stronger predictions.

Module 09

Clustering

Group similar data with K-Means, DBSCAN.

Module 10

Deep Learning

Understand neural networks and their use.

Module 11

Perceptron

Learn basic units of neural networks.

Module 12

ANN

Design multi-layer networks for AI tasks.

Module 13

Cost & Loss

Evaluate model performance using loss functions.

Module 14

Activation Functions

Use ReLU, Sigmoid, Tanh to add non-linearity.

Module 15

Optimizers

Train models efficiently with Adam, RMSprop.

Module 16

CNN

Use convolutional networks for image tasks.

Module 17

RNN

Work with sequences using RNNs.

Module 18

LSTM

Capture long-term dependencies with LSTM.

Module 19

LangChain

Use LangChain to build LLM-powered apps.

Module 20

Projects

Apply AI concepts in hands-on challenges.

Module 21

Resume Building

Create a compelling AI career profile.

Module 22

Mock Tests & Interviews

Prepare for roles with practical evaluations.

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Artificial Intelligence

Artificial Intelligence In Action

Smart Automation

Pattern Learning

Real-World Applications

Artificial Intelligence

Intro to Python

Data Science & AI Basics

Python for DS

ML Types

Regression

Classification

Bagging

Boosting

Clustering

Deep Learning

Perceptron

ANN

Cost & Loss

Activation Functions

Optimizers

CNN

RNN

LSTM

LangChain

Projects

Resume Building

Mock Tests & Interviews

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