🤖 Artificial Intelligence & Machine Learning (30+ Courses)
AI & ML enable machines to learn from data, recognize patterns, and make intelligent decisions. These technologies power applications like chatbots, image recognition, recommendations, automation, and predictive analytics, transforming industries and everyday life.
- 10 Lessons
- 6 Studenst
Artificial Intelligence Fundamentals
Understand the core concepts of AI, including intelligent agents, machine learning basics, search algorithms, and real-world AI applications
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- 10 Lessons
- 6 Studenst
Machine Learning with Python
Learn to build, train, and deploy ML models using libraries like Scikit-learn, NumPy, and
Pandas — from linear regression to ensemble techniques
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- 10 Lessons
- 6 Studenst
Deep Learning with TensorFlow & Keras
Explore neural networks, CNNs, and RNNs through hands-on projects using powerful
frameworks to create accurate deep learning models
- 10 Lessons
- 6 Studenst
Supervised Learning Algorithms
Master algorithms like decision trees, random forests, SVMs, and k-NN used for
classification and regression tasks.
- 10 Lessons
- 6 Studenst
Unsupervised Learning & Clustering
Learn to detect hidden patterns in data using k-means, hierarchical clustering, PCA, and anomaly detection techniques.
- 10 Lessons
- 6 Studenst
Natural Language Processing (NLP)
Teach machines to understand and process human language using NLTK, spaCy, and
transformer models like BERT and GPT.
- 10 Lessons
- 6 Studenst
Computer Vision & Image Processing
Build intelligent systems that can analyze and interpret images using OpenCV, CNNs,
and object detection frameworks.
- 10 Lessons
- 6 Studenst
AI-Powered Chatbot Development
Design conversational AI bots using Python, Dialogflow, or Rasa that can automate
customer interactions and FAQs.
- 10 Lessons
- 6 Studenst
Reinforcement Learning
Learn how agents interact with environments using reward-based learning ideal for robotics, automation, and game AI.
- 10 Lessons
- 6 Studenst
Recommendation Systems
Develop personalized content and product recommenders using collaborative filtering,
content-based filtering, and hybrid models
- 10 Lessons
- 6 Studenst
Time Series Forecasting
Predict trends and patterns over time using ARIMA, LSTM, and Prophet — useful in
finance, sales, and demand prediction.
- 10 Lessons
- 6 Studenst
Feature Engineering & Selection
Learn to refine raw data into meaningful features that improve machine learning model accuracy and performance.
- 10 Lessons
- 6 Studenst
AI for Healthcare
Apply machine learning and deep learning techniques in diagnosing diseases, analyzing medical images, and predicting patient outcomes.
- 10 Lessons
- 6 Studenst
AI in Cybersecurity
Use machine learning to detect threats, classify malicious behavior, and automate cyber incident responses.
- 10 Lessons
- 6 Studenst
Model Deployment with Flask & FastAPI
Turn your machine learning models into APIs and web apps using lightweight,
production-ready Python frameworks.
- 10 Lessons
- 6 Studenst
Transfer Learning & Pre-trained Models
Save time and compute by reusing powerful models like VGG, ResNet, and BERT to fine-tune for custom applications.
- 10 Lessons
- 6 Studenst
Explainable AI (XAI)
Make AI models transparent and interpretable to users, stakeholders, and regulators — essential in critical applications like healthcare and finance.
- 10 Lessons
- 6 Studenst
Generative Adversarial Networks (GANs)
Learn how to create AI that generates new data (images, music, text) using adversarial
neural networks.
- 10 Lessons
- 6 Studenst
AutoML with Google AutoML & H2O
Automate the process of building and tuning machine learning models with minimal coding using industry tools
- 10 Lessons
- 6 Studenst
AI Ethics & Responsible AI
Understand the moral, social, and legal challenges of AI and learn how to design fair, unbiased, and accountable systems.
- 10 Lessons
- 6 Studenst
Face Recognition Systems
Train AI to detect and recognize faces in images and video using deep learning and
computer vision libraries
- 10 Lessons
- 6 Studenst
Speech Recognition & Voice Interfaces
Build systems that understand and transcribe speech using libraries like
SpeechRecognition and APIs like Google Speech-to-Text.
- 10 Lessons
- 6 Studenst
Emotion Detection & Sentiment Analysis
Analyze text, audio, or facial expressions to detect human emotions used in customer feedback, HR analytics, and security.
- 10 Lessons
- 6 Studenst
AI in Finance & Trading
Use AI to predict stock prices, automate trading strategies, and detect financial fraudwith real-time data analysis.
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- 10 Lessons
- 6 Studenst
AI for E-Commerce
Improve customer experience with dynamic pricing, product recommendations,
customer churn prediction, and sales forecasting.
- 10 Lessons
- 6 Studenst
Object Detection with YOLO & SSD
Train AI to locate and classify multiple objects in real time from images and video
streams
- 10 Lessons
- 6 Studenst
Edge AI & TinyML
Build AI models that run on low-power devices like microcontrollers and mobile phones— ideal for IoT use cases
- 10 Lessons
- 6 Studenst
Data Labeling & Annotation Tools
Learn how to prepare datasets using image, audio, and text annotation tools for
supervised learning applications.
- 10 Lessons
- 6 Studenst
Building AI Startups & Products
Understand the lifecycle of AI products — from ideation to prototyping to launching
real-world AI solutions.
- 10 Lessons
- 6 Studenst
AI Internship Program
Get hands-on experience solving real-world problems using AI and ML, working on
capstone projects and deploying models.
