JUMPSTART YOUR

Artificial Intelligence Course

Current Status

Not Enrolled

Price

₹25,000.00

Get Started

or

Overview:

This 12-week course introduces the basics of Artificial Intelligence (AI). It covers the fundamental concepts and technologies behind AI, including machine learning, deep learning, and neural networks. Students will learn through theory, practical exercises, and projects that demonstrate how AI is applied across different industries.

What You'll Learn

Fundamental theories and concepts of AI, including its history and future potential.
An overview of machine learning and deep learning techniques.
Practical skills for implementing basic AI models using Python.
Understanding of how AI is transforming industries such as healthcare, finance, and more.
Ethical considerations and impacts of AI technology.

Course Content

Expand All

Module 1: Foundations of AI

Lesson 1: Introduction to AI 3 Topics

Expand

Lesson Content

0% Complete 0/3 Steps

What is Artificial Intelligence?

Brief history of AI and its evolution.

Overview of key concepts in AI: Machine Learning, Neural Networks, and Deep Learning.

Lesson 2: Tools and Technologies for AI 3 Topics

Expand

Lesson Content

0% Complete 0/3 Steps

Setting up the Python environment for AI development.

Introduction to essential Python libraries: NumPy, Pandas, Matplotlib, Scikit-learn.

Overview of TensorFlow and PyTorch for more advanced AI applications.

Lesson 3: Mathematics for AI 3 Topics

Expand

Lesson Content

0% Complete 0/3 Steps

Basic statistics and probability concepts in AI.

Linear algebra for AI: Vectors, matrices, and operations.

Calculus overview: Derivatives and gradients.

Module 2: Machine Learning Basics

Lesson 4: Supervised Learning 3 Topics

Expand

Lesson Content

0% Complete 0/3 Steps

Introduction to classification and regression.

Building simple models: Decision trees and linear regression.

Evaluating model performance: Accuracy, precision, recall, F1-score.

Lesson 5: Unsupervised Learning 3 Topics

Expand

Lesson Content

0% Complete 0/3 Steps

Clustering fundamentals: K-means and hierarchical clustering.

Dimensionality reduction techniques: PCA (Principal Component Analysis).

Association rules and their applications.

Lesson 6: Neural Networks and Deep Learning Basics 3 Topics

Expand

Lesson Content

0% Complete 0/3 Steps

Understanding neural networks: Perceptrons and activation functions.

Introduction to deep learning frameworks.

Building a basic neural network model for image recognition.

Module 3: AI in Practice

Lesson 7: AI Applications in Industry 3 Topics

Expand

Lesson Content

0% Complete 0/3 Steps

AI in healthcare: Diagnostics and patient management.

AI in finance: Fraud detection and algorithmic trading.

AI in entertainment: Recommendations systems.

Lesson 8: Natural Language Processing (NLP) 3 Topics

Expand

Lesson Content

0% Complete 0/3 Steps

Fundamentals of NLP: Tokenization, stemming, and lemmatization.

Building a simple chatbot.

Sentiment analysis: Understanding opinions in text.

Lesson 9: Ethics and Future of AI 3 Topics

Expand

Lesson Content

0% Complete 0/3 Steps

Ethical considerations in AI: Bias, fairness, and accountability.

The future of AI: Trends and predictions.

Responsible AI development and deployment.

Learning Paths

Courses

BotCampus.ai Insights

Community

Your Account

Support

Legal

About

Our Locations

©2024 BotCampus AI – All Rights Reserved

Disclaimer

Azure® and Power BI® are registered trademarks of Microsoft Corporation.
AWS® (Amazon Web Services) is a registered trademark of Amazon Technologies, Inc.
GCP™ (Google Cloud Platform) is a trademark of Google LLC.
Python® is a registered trademark of the Python Software Foundation.
Tableau® is a registered trademark of Tableau Software, LLC.
TensorFlow™ is a trademark or registered trademark of Google LLC.
Git® is a registered trademark of Software Freedom Conservancy, Inc.
Machine Learning Studio is a trademark of Microsoft Corporation.
Databricks® is a registered trademark of Databricks, Inc.
Apache® and Apache Spark™ are trademarks of The Apache Software Foundation.
All illustrations and 3D characters are sourced and created using FreePick.com AI Prompting. BotCampus AI does not hold any copyright for these assets.
Training sessions have been delivered at Microsoft, Bosch, Deloitte, Michelin, IBM, Collins Aerospace, and Cognizant. We are in no way associated with or sponsored by these companies.

This educational material is independently created and offered by Bot Campus AI. It is not sponsored by,endorsed by, or affiliated with Microsoft Corporation, Amazon Technologies, Inc., Google LLC, the Python Software Foundation, or Tableau Software, LLC. The use of these terms in our course material is for descriptive purposes only and does not imply any affiliation with or endorsement by the trademark owners.