AI Mastery: 25 Hands-On Projects in 5 Weeks

What you will learn:

Build a strong foundation in AI, machine learning, and deep learning.
Master practical AI skills through hands-on projects.
Develop a diverse portfolio demonstrating your expertise.
Gain proficiency in various AI tools and libraries (Python, Keras, TensorFlow, Scikit-learn, NLTK).
Enhance problem-solving abilities and critical thinking in the context of AI.
Understand real-world applications of AI across different industries.
Prepare for a successful career in the exciting field of Artificial Intelligence.

Description

Dive into the world of Artificial Intelligence with our intensive 25-project bootcamp! This course isn't just theory; it's a fast-paced journey through real-world AI applications. Over five weeks, you'll build a portfolio showcasing your skills in various areas, from natural language processing (NLP) to deep learning. Starting with basic Python programming, you'll gradually master complex techniques while completing projects such as building a chatbot, an image classifier, a movie recommendation system, and even a spam email detector. Each project is designed to build upon previous knowledge, ensuring a comprehensive and engaging learning experience.

You'll learn to work with diverse datasets (text, images, time-series) and tools like Keras, TensorFlow, Scikit-learn, and NLTK. We'll cover key concepts including neural networks, regression, classification, and more. Whether you're a complete beginner or have some coding experience, this structured approach will empower you to build sophisticated AI models. Imagine showcasing your completed projects to potential employers, highlighting your practical expertise in machine learning, deep learning, and AI development. The structured format, with a dedicated project per day, ensures consistent progress, keeping you motivated and actively engaged in mastering cutting-edge AI techniques.

This bootcamp is a powerful accelerator for anyone wanting to quickly acquire practical AI skills. You'll not only gain technical proficiency but also enhance your problem-solving abilities, making you a more competitive candidate in the field of Artificial Intelligence. Prepare to transform your AI skills and unlock your career potential! This course equips you with the hands-on experience and diverse project portfolio needed to confidently enter the world of AI development.

Curriculum

Week 1: Python Fundamentals & AI Introduction

This week lays the groundwork. You'll start with a basic calculator project in Python, solidifying your understanding of programming logic and syntax. You'll then progressively increase the complexity by building an image classifier using Keras and TensorFlow, creating a simple chatbot with predefined responses, developing a spam email detector using Scikit-learn, and concluding with a project focused on handwritten digit recognition using the MNIST dataset. These projects introduce fundamental concepts in AI, machine learning, and deep learning.

Week 2: Exploring NLP and Predictive Modeling

Week two delves into Natural Language Processing (NLP) and predictive modeling. You will build a sentiment analyzer using NLTK, a movie recommendation system using cosine similarity, a linear regression model to predict house prices, a weather forecasting model based on historical data, and finally, learn how to build a basic neural network from scratch. These projects build on the foundation from week one and introduce core concepts in NLP and supervised machine learning.

Week 3: Advanced Techniques and Model Building

In week three, you'll dive into more advanced techniques. You’ll construct a stock price prediction model using linear regression, a logistic regression model to predict diabetes risk, a dog vs. cat image classifier using a Convolutional Neural Network (CNN), a Tic-Tac-Toe AI using the Minimax algorithm, and a credit card fraud detection model using Scikit-learn. This week reinforces your understanding of different machine learning algorithms and their practical applications.

Week 4: NLP, Speech Processing & Ethical Considerations

Week four focuses on advanced NLP tasks, speech processing, and ethical implications in AI. Projects include: Iris flower classification using decision trees, building a simple personal assistant using Python speech libraries, building a text summarizer using Gensim, creating a fake product review detector, and an emotion detection tool using NLTK. You'll not only enhance your NLP skills but also gain insight into ethical considerations in the development of AI applications.

Week 5: Real-World Applications and Portfolio Building

The final week culminates in projects showcasing practical real-world applications. You'll build a book recommendation system using collaborative filtering, a model to predict car prices using Random Forest, a fake news identifier using Naive Bayes, a resume scanner employing keyword extraction, and finally, a customer churn prediction model. These capstone projects consolidate your learning and create a diverse portfolio of AI projects you can use for job applications or further development.

Deal Source: real.discount