Gen AI Training Path - Technical Track
Completed by David.SanchezPerez@encora.com on July 28, 2025
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Technical track for Gen AI
Learning objectives
- By the end of this course, participants will be proficient in advanced generative AI methodologies, including model architecture design, training strategies, and optimization techniques.
- Participants will gain the ability to develop, deploy, and scale generative AI models in real-world applications, leveraging industry-standard tools and frameworks.
Skills learned
- Artificial Intelligence and Machine Learning (AI/ML)
- Machine Learning Methods
- Applied Machine Learning
- Software Design Patterns
- Software Development Tools
- Natural Language Processing
- System Design and Implementation
- Query Languages
- Secure Coding
- Code Review
- Text Mining
- Generative AI
- Artificial Intelligence
- Application Frameworks
- Software Technical Review
- Restful API
- Performance Tuning
- Technical Documentation
- Test Automation
- Deep Learning
- Dependency Analysis
- Machine Learning
- Data Store
- Unstructured Data
- Persona Development
- ChatGPT
- Maintainability
- OpenAI
- Data Processing
- Web Services
- Database Systems
- Debugging
- Application Development
- Software Documentation
- Computer Programming
- Database Design
- Development Environment
- Software Architecture
- Application Security
- Software Testing
- SQL
- Database Management
- Software Engineering
- Software Design
- Software Systems
- Software Development
- Application Programming Interface (API)
- Skills section collapsed. Showing 6 of 47 skills.
Learning content completed
Some of the content and skills presented have been contributed by the content provider.