GenAI Technical Leader
Completed by Franklin on June 22, 2025
Verified learner ·
Badge ID: MFk0bdbmSBWZNG3W5ugVEg
About this Badge
Designed for future GenAI Solution Engineers, this learning journey focuses on building scalable GenAI solutions. It combines data engineering, machine learning, and architecture skills to develop high-performance AI applications. Participants will learn to integrate state-of-the-art models into real-world environments, unlocking GenAI's full potential for businesses.
Learning objectives
- Develop and deploy generative AI applications using tools like OpenAI, Amazon Bedrock, and Azure services.
- Implement and optimize Large Language Models (LLMs) for various tasks such as text-based search, content generation, and data analysis.
- Apply advanced machine learning techniques, including neural networks, transfer learning, and model fine-tuning, to enhance AI solutions.
- Evaluate the benefits, limitations, and ethical considerations of using generative AI in real-world applications.
Skills learned
- Artificial Intelligence and Machine Learning (AI/ML)
- Hybrid Cloud Computing
- Machine Learning Methods
- Applied Machine Learning
- Advanced Analytics
- Software Development Life Cycle
- Predictive Analytics
- Artificial Neural Networks
- Time Series Analysis and Forecasting
- Marketing Analytics
- Business Analytics
- Systems Development Life Cycle
- Natural Language Processing
- Google Cloud Platform
- Dimensionality Reduction
- Anomaly Detection
- Application Lifecycle Management
- Digital Transformation
- Text Mining
- Continuous Delivery
- Generative AI
- Application Deployment
- Continuous Deployment
- Cyber Governance
- IT Infrastructure
- Web Design and Development
- Amazon Web Services
- Customer Insights
- Information Assurance
- Information Privacy
- Artificial Intelligence
- Cloud Platforms
- Computer Graphics
- API Gateway
- Organizational Change
- Reinforcement Learning
- Performance Measurement
- Semantic Web
- Cloud API
- Microsoft Azure
- Technology Strategies
- Market Intelligence
- Unsupervised Learning
- Information Systems Security
- Computer Vision
- Image Analysis
- Web Applications
- Cloud Infrastructure
- Cloud Applications
- Organizational Development
- Feature Engineering
- Business Transformation
- API Design
- Data Mining
- Statistical Modeling
- Deep Learning
- Enterprise Security
- ChatGPT
- Data Ethics
- Cloud Solutions
- Public Cloud
- Business Technologies
- Market Research
- Cloud Services
- Unstructured Data
- Strategic Marketing
- Cloud Computing
- Infrastructure Security
- Application Development
- Marketing Planning
- Computer Science
- Data Science
- Cybersecurity
- Cloud Security
- Release Management
- Statistical Analysis
- Network Security
- Market Analysis
- Customer Analysis
- DevOps
- Data Governance
- Data Security
- Business Research
- Web Development
- Business Systems
- Cloud Development
- Performance Management
- Analytics
- Data Analysis
- Cloud Management
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Learning content completed
Some of the content and skills presented have been contributed by the content provider.