Artificial Intelligence (AI) for Developers Training Course
Artificial Intelligence (AI) is a set of technologies that simulate human intelligence in machines and applications, enabling smarter and more adaptive software.
This instructor-led, live training (online or onsite) is aimed at intermediate-level developers who wish to build AI-powered applications using real-world tools and platforms.
By the end of this training, participants will be able to:
- Understand core AI and machine learning concepts.
- Develop AI features using Python and popular libraries.
- Apply AI techniques to real software development projects.
- Evaluate models and deploy intelligent services.
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
Course Outline
Introduction to Artificial Intelligence
- What is AI and where is it used?
- AI vs. Machine Learning vs. Deep Learning
- Popular tools and platforms
Python for AI
- Python basics refresher
- Using Jupyter Notebook
- Installing and managing libraries
Working with Data
- Data preparation and cleaning
- Using Pandas and NumPy
- Visualization with Matplotlib and Seaborn
Machine Learning Basics
- Supervised vs. Unsupervised Learning
- Classification, regression, and clustering
- Model training, validation, and testing
Neural Networks and Deep Learning
- Neural network architecture
- Using TensorFlow or PyTorch
- Building and training models
Natural Language and Computer Vision
- Text classification and sentiment analysis
- Image recognition basics
- Pre-trained models and transfer learning
Deploying AI in Applications
- Saving and loading models
- Using AI models in APIs or web apps
- Best practices for testing and maintenance
Summary and Next Steps
Requirements
- An understanding of programming logic and structures
- Experience with Python or similar high-level programming languages
- Basic familiarity with algorithms and data structures
Audience
- IT systems professionals
- Software developers seeking to integrate AI
- Engineers and technical managers exploring AI-based solutions
Open Training Courses require 5+ participants.
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