Overview

This course covers artificial intelligence from beginner to advanced levels, including machine learning basics, neural networks, natural language processing, computer vision, and ethical AI practices. Students will explore tools like TensorFlow and PyTorch for model building, and apply AI in real-world scenarios such as predictive analytics, chatbots, and image recognition. Hands-on projects progress from simple algorithms to sophisticated models, ensuring practical skills for AI integration in various industries.

Duration

2 months (8 weeks), 3 sessions per week (2 hours each)

By

samson Bryant

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AI Essentials

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One-time for 1 person

105.00$100.00$

Overview

This course covers artificial intelligence from beginner to advanced levels, including machine learning basics, neural networks, natural language processing, computer vision, and ethical AI practices. Students will explore tools like TensorFlow and PyTorch for model building, and apply AI in real-world scenarios such as predictive analytics, chatbots, and image recognition. Hands-on projects progress from simple algorithms to sophisticated models, ensuring practical skills for AI integration in various industries.

Duration

2 months (8 weeks), 3 sessions per week (2 hours each)

What You’ll Learn?

- Understand core AI concepts, including supervised and unsupervised learning
- Build and train basic machine learning models with Scikit-learn
- Develop neural networks for tasks like classification and regression
- Implement NLP applications, such as sentiment analysis and chatbots
- Create computer vision projects for image detection and processing
- Explore advanced topics like generative AI (e.g., GANs) and reinforcement learning
- Apply ethical considerations and deploy AI models in production environments

Requirements

Syllabus Overview

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Lessons

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Quizzes

0

Tasks

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Resources

Module 1: AI Fundamentals (Beginner Level)

Module 2: Machine Learning Basics (Beginner Level)

Module 3: Neural Networks Introduction (Intermediate Level)

Module 4: Deep Learning with PyTorch (Intermediate Level)

Module 5: Natural Language Processing (Intermediate Level)

Module 6: Computer Vision (Advanced Level)

Module 7: Advanced AI Topics (Advanced Level)

Module 8: Deployment and Capstone (Advanced Level)

Material Includes

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