Gen AI - Advanced
Completed by Shivaprakash Shivakumaraswamy Jayachamarajapura on October 24, 2025
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Badge ID: UBynFoq9Re2cpxaKvRXtTg
About this Badge
Advanced Gen AI courses for those with prior experience.
Learning objectives
- Implement vector search applications using Vertex AI and LLM APIs for embeddings.
- Develop and train encoder-decoder models for sequence-to-sequence tasks using TensorFlow.
- Build and evaluate supervised machine learning models for regression and classification using Python libraries.
- Apply responsible AI practices to identify and mitigate bias in AI/ML systems using Google Cloud tools.
Skills learned
- Artificial Intelligence and Machine Learning (AI/ML)
- Machine Learning Algorithms
- Machine Learning Methods
- Applied Machine Learning
- Random Forest Algorithm
- Artificial Neural Networks
- Open Source Technology
- Google Cloud Platform
- Natural Language Processing
- Decision Tree Learning
- Text Mining
- Artificial Intelligence
- Predictive Modeling
- Generative AI
- Performance Tuning
- Supervised Learning
- Python Programming
- Cloud API
- Deep Learning
- Unsupervised Learning
- Regression Analysis
- Statistical Modeling
- Feature Engineering
- Data Validation
- Machine Learning
- Jupyter
- Tensorflow
- NumPy
- Data Ethics
- Data Analysis
- Scikit Learn (Machine Learning Library)
- Classification And Regression Tree (CART)
- Keras (Neural Network Library)
- Skills section collapsed. Showing 6 of 33 skills.
Learning content completed
Some of the content and skills presented have been contributed by the content provider.