Artificial Intelligence
Explore the limitless possibilities of Artificial Intelligence (AI) with our cutting-edge program.
- Duration: 12 Weeks
- Training: Online/Onsite
- Course Fee:
About This Course
Explore the limitless possibilities of Artificial Intelligence (AI) with our cutting-edge program. Dive into the world of machine learning, neural networks, and natural language processing to understand how AI is revolutionizing industries worldwide. Gain hands-on experience with industry-standard tools and techniques, and collaborate on real-world projects that push the boundaries of AI innovation.
Course Overview
- Overview of AI
- History and impact
- Key concepts and terminology
- Narrow AI vs. General AI
- Machine learning, deep learning, and natural language processing (NLP)
- AI in different industries (healthcare, finance, transportation, etc.)
- Real-world examples
- What is machine learning?
- Types of machine learning (supervised, unsupervised, reinforcement)
- Introduction to key algorithms (linear regression, decision trees, clustering, etc.)
- Use cases for each algorithm
- Implement a machine learning project using a simple dataset
- Data cleaning and transformation
- Handling missing values
- Feature scaling and selection
- Basics of Python programming
- Python libraries for AI (NumPy, pandas, scikit-learn)
- Preprocess a dataset for a machine learning project
- What is deep learning?
- Neural networks basics
- Key architectures (CNNs, RNNs, GANs)
- Introduction to PPC advertising
- Creating PPC campaigns
- Analyzing PPC performance
- Run a PPC campaign for an affiliate product
Course Benefits
- Understand the basics of AI and learn key AI terms and their meanings
- Differentiate between types of AI and understand various AI subfields
- Learn how AI is applied in various sectors and understand real-world AI applications
- Understand machine learning basics and learn about different machine learning types
- Understand key machine learning algorithms and learn their applications and use cases
- Apply machine learning concepts and develop hands-on skills
- Learn Python programming basics and understand key Python libraries for AI
- Learn data preprocessing techniques and understand the importance of clean data
- Apply data preprocessing techniques
- Understand deep learning concepts and learn about neural networks and architectures
- Learn to use TensorFlow and Keras and build and train neural networks
- Apply deep learning concepts and develop hands-on skills
