Certifications in AI
IBM AI Engineering Professional Certificate
The badge earner has demonstrated proficiency in machine learning and deep learning, including supervised and unsupervised learning, using Python.
They know deep learning models and neural networks using Keras, PyTorch, and TensorFlow. They have demonstrated skills in custom-built models as well as
pre-trained models, such as generative pre-trained transformers (GPT), LLaMA, and BERT.
Key components of the certification:
- Machine Learning with Python
- Deep Learning with Keras and Tensorflow
- Deep Learning with Pytorch
- Generative AI Language Modeling with Transformers
- Generative AI Advance Fine-Tuning for LLMs
- Fundamentals of AI Agents Using RAG and LangChain
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IBM Machine Learning Specialization
The badge earner masters the most up-to-date practical skills and knowledge machine learning experts use in their daily roles, they created
Recommender systems in Python, developed working knowledge of KNN, PCA, and non-negative matrix collaborative filtering, and predicted course
ratings by training a neural network and constructing regression and classification models.
Key components of the certification:
- Exploratory Data Analysis for Machine Learning
- Supervised Machine Learning: Regression
- Supervised Machine Learning: Classification
- Unsupervised Machine Learning
- Deep Learning and Reinforcement Learning
- Machine Learning Capstone
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Microsoft Certified: Azure AI Fundamentals
The badge earner has demonstrated proficiency in machine learning and deep learning projects deployment on Microsoft Azure.
Key components of the certification:
- Describe features of generative AI workloads on Azure
- Describe features of Natural Language Processing (NLP) workloads on Azure
- Describe features of computer vision workloads on Azure
- Describe fundamental principles of machine learning on Azure
- Describe Artificial Intelligence workloads and considerations
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