SFIA AI Engineer: IBM AI Engineering Professional Certificate
Completed by Lemogang Ncube on October 14, 2025
Verified learner ·
Badge ID: CoFaKym0R-SBWisptDfk3g
About this Badge
Describe machine learning, deep learning, neural networks, and ML algorithms like classification, regression, clustering, and dimensional reduction. Deploy machine learning algorithms and pipelines on Apache Spark. Implement supervised and unsupervised machine learning models using SciPy and ScikitLearn. Build deep learning models and neural networks using Keras, PyTorch, and TensorFlow.
Learning objectives
- Design, implement, and evaluate deep learning models using Keras and PyTorch for tasks such as image classification and language processing.
- Apply advanced techniques in generative AI, including transformer-based models and retrieval-augmented generation (RAG), to develop real-world applications.
- Fine-tune large language models (LLMs) using techniques like instruction tuning and reinforcement learning from human feedback (RLHF) to optimize performance and align with human preferences.
Skills learned
- Artificial Intelligence and Machine Learning (AI/ML)
- Generative AI Agents
- Machine Learning Methods
- Software Development Life Cycle
- Natural Language Processing
- Decision Tree Learning
- Dimensionality Reduction
- Text Mining
- Statistical Methods
- Data Storage Technologies
- Probability Distribution
- Predictive Modeling
- Computer Vision
- Performance Tuning
- Reinforcement Learning
- Semantic Web
- Unsupervised Learning
- Image Analysis
- Network Model
- Statistical Modeling
- Database Management Systems
- Feature Engineering
- ChatGPT
- OpenAI
- Tensorflow
- Program Development
- Data Processing
- Network Architecture
- Application Development
- Data Ethics
- Scikit Learn (Machine Learning Library)
- PyTorch (Machine Learning Library)
- Classification And Regression Tree (CART)
- Keras (Neural Network Library)
- User Interface (UI)
- Probability & Statistics
- Skills section collapsed. Showing 6 of 36 skills.
Learning content completed
Some of the content and skills presented have been contributed by the content provider.