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Courses Curriculum
Welcome to the course
Course Description
Lesson 1: Introduction to AI, ML, DL
Lesson 2: Real-World AI Applications
Lesson 3: AI Career Overview
Lesson 4: Learning Roadmap + Tools
Research Project
End of Module 1 Quiz
Lesson 1: Python Basics: Data Types, Variables an Controls
Lesson 2: Loops, Functions and conditionals
Lesson 3: Data Structures: Lists, Dictionaries, Tuples
Lesson 4. Libraries for AI: Numpy, Pandas, Matplotlib
Coding Exercise
End of Module 2 Quiz
Lesson 1: Data cleaning and Preparation
Lesson 2: Handling Missing Data, Outliers
Lesson 3: Feature Engineering Basics
Lesson 4: Data Visualization Best Practices
Data Cleaning and Visualization Project
End of Module 3 Quiz
Lesson 1: Supervised and Unsupervised learning
Lesson 2: Regression, Classification, Clustering Explained
Lesson 3: Train/Test Split, Overfitting, Evaluation Metrics
Lesson 4: Algorithms: Linear Regression, Decision Trees, k-NN
Building a Simple Spam Email Classifier
End of Module 4 Quiz
Lesson 1: Ensemble Methods: Random Forests, and Gradient Booting
Lesson 2: Cross-Validation and Hyperparameter tuning
Lesson 3: Introduction to Scikit-learn pipelines
Project: Improve a Spam Classifier with Hyperparameter Tuning and Pipelines
End of Module 5 Quiz
Lesson 1: Neutral Network Basics and Intuition
Lesson 2: Activation Functions & Loss Functions
Lesson 3: Building Models with TensorFlow/Keras
Lesson 4: Convolutional Neural Networks (CNN) for images
Project: Image classifier
Mini Task: Coding Exercise
End of Module 6 Quiz
Lesson 1: Text Processing Basics: Tokenization, Stemming, Embeddings
Lesson 2: Sentiment Analysis, Text Classification
Lesson 3: Using Pre-Trained Models (e.g., BERT, GPT)
Lesson 4: Building chatbots and language apps with OpenAI API?
Coding Project: Build a Chatbot Using NLP Techniques and OpenAI API
End of Module 7 Quiz
Lesson 1: Deploy Models with Streamlit or Flask
Lesson 2: Hosting on platforms like Heroku, Hugging Face Spaces
Lesson 3: Introduction to Cloud Platforms (AWS, Google Cloud Basics)
Project: Deploying and Launching an AI Web App with User Interface
End of Module 8 Quiz
Lesson 1: Understanding AI bias and fairness
Lesson 2: Data Privacy and Security Consideration
Lesson 3: Real World AI Ethics
Lesson 4 : Best Practices for Responsible AI Development
Reflection Assignment
End of Module 9 Quiz
Lesson 1: Setting Up GitHub with your projects
Lesson 2: Writing AI-Focused Resumes and LinkedIn Profiles
Lesson 3: Job Search Strategies and Freelancing Platforms
Lesson 4: Preparing for Entry-Level AI Certifications
Final capstone project: Full AI application + portfolio presentation
End of course message
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What Our Students Say
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Frequently Asked Question
We offer beginner to advanced courses in Machine Learning, Data Science, Prompt Engineering, Natural Language Processing, and more.
No! Many of our courses are designed for absolute beginners. You’ll learn everything step-by-step.
Yes, every course comes with a verified certificate you can showcase on your CV or LinkedIn.
You get lifetime access to all the courses you enroll in, so you can learn at your own pace.
Most of our courses are self-paced. However, we also offer occasional live sessions and Q&A with instructors.
We blend expert-led content, real-world projects, and AI-powered learning tools to offer a smarter, more effective way to learn.
At AI Online Learning, we provide accessible, expert-led AI courses designed to help you build real skills and advance your career. Join our community and shape the future with AI.
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