AI Career Accelerator: From Zero to AI-Builder Course – AI Online Learning

This comprehensive course takes you on a structured, hands-on journey into Artificial Intelligence (AI) starting with foundational concepts and moving onto real world applications.

Course Content

Introduction to the Course 2 Lessons Sample Module

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Welcome to the course

Course Description

Module 1: AI Foundation and Mindset 5 Lessons | 1 Quiz

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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

Module 2: Python Programming for AI 5 Lessons | 1 Quiz

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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

Module 3: Data Handling & Preprocessing 5 Lessons | 1 Quiz

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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

Module 4: Machine Learning Fundamentals 5 Lessons | 1 Quiz

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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

Module 5: Advanced Machine Learning & Tuning 4 Lessons | 1 Quiz

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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

Module 6: Deep Learning and Neural Networks 6 Lessons | 1 Quiz

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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

Module 7: Natural Language Processing (NLP) 5 Lessons | 1 Quiz

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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

Module 8: AI Deployment & Tools 4 Lessons | 1 Quiz

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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

Module 9: Ethics, Bias and Responsible AI 5 Lessons | 1 Quiz

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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

Module 10: Portfolio Building & Career Preparation 6 Lessons

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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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