Artificial Intelligence
The technological landscape is changing rapidly, and only companies that can adapt to these transformations can remain competitive.
Artificial Intelligence and Machine Learning are no longer futuristic concepts, but key tools that every business must master. Desotech is here to help you make that leap. We offer in-depth technical training that goes beyond the use of superficial AI tools. We're in the business of training your teams on what really matters: the technologies that power AI, from Machine Learning to managing complex workflows.
Learning Path
based on your needs
From Data Analysts to ML Engineers to all business figures involved in data-driven decision making, we provide training paths that combine theory with solid technical practice.
We don't do generic courses: each of our programs is focused on the actual technical needs of your business. Participants will gain not only skills in using AI and ML, but also in understanding and implementing the technologies that make them possible.
In each Learning Path, we focus on real applications. We will not only teach you how to use the tools, but also how to master them to solve the complex problems your business faces. Whether it's optimizing your Machine Learning models or automating workflows with tools like KubeFlow and Pachyderm, our solutions are designed to make a real impact on your business.
Artificial Intelligence
Course catalog
AI High Level
- There aren't prerequisites.
Python for Machine Learning
- Basic knowledge of programming
- Familiarity with Linux
Introduction to Jupyter Notebooks
- Basic knowledge of (e.g.) Pandas, NumPy, Matplotlib
- Familiarity with data visualization concepts.
Argo Workflow Introduction
- Basic use of bash
- Knowledge of containerization
Pachyderm Deep Dive
- Basic Linux commands for file management
- Containerization and image creation
The Easy Way for AI: AWS SageMaker
- Basic knowledge of AWS
- Basic knowledge of Python
CodeWhisperer Essentials
- Basic knowledge of programming
AI on Azure Cloud
- Familiarity with Python
- Familiarity with the use of REST-based APIs
High Level MLOps
- Basic knowledge of IT and cloud computing
Machine Learning Fundamentals
- Python and its syntax.
- Basics of linear algebra and diff. calculus
Next Level Notebook: Jupyter Hub
- Basic knowledge of Jupyter Notebook
- Basic knowledge of Kubernetes
Introduction to Kubeflow
- Familiarity with the Linux environment
- Familiarity with bash
Gen AI Fundamentals
- Basics of Python
- Software app design and development
Argo Workflow Intermediate
- Basic knowledge of Argo Workflow
- Principles of machine learning
Working with Big Data on AWS
- Familiarity with the concept of Big Data
- Amazon AWS basic knowledge
Automating Machine Learning on AWS
- Basic knowledge of AWS
- Basic knowledge of Python
Generative AI on Azure Public Cloud
- Basic knowledge of Python
- Basic knowledge of Azure
Deep Learning Fundamentals
- Knowledge of Python
- Concepts of Machine Learning
MLOps Engineering on AWS
- Basic knowledge of AWS
- DevOps Engineering AWS
Python for Machine Learning
- Basic knowledge of programming
- Familiarity with Linux
Introduction to Jupyter Notebooks
- Basic knowledge of (e.g.) Pandas, NumPy, Matplotlib
- Familiarity with data visualization concepts
Machine Learning Fundamentals
- Python and its syntax.
- Basics of linear algebra and diff. calculus
Gen AI Fundamentals
- Basics of Python
- Software app design and development
Python for Machine Learning
- Basic knowledge of programming
- Familiarity with Linux
Introduction to Jupyter Notebooks
- Basic knowledge of (e.g.) Pandas, NumPy, Matplotlib
- Familiarity with data visualization concepts.
Machine Learning Fundamentals
- Python and its syntax.
- Basics of linear algebra and diff. calculus
Introduction to Kubeflow
- Familiarity with the Linux environment
- Familiarity with bash
Python for Machine Learning
- Basic knowledge of programming
- Familiarity with Linux
Introduction to Jupyter Notebooks
- Basic knowledge of (e.g.) Pandas, NumPy, Matplotlib
- Familiarity with data visualization concepts.
Argo Workflow Introduction
- Basic use of bash
- Knowledge of containerization
Introduction to Kubeflow
- Familiarity with the Linux environment
- Familiarity with bash
Python for Machine Learning
- Basic knowledge of programming
- Familiarity with Linux
The Easy Way for AI: AWS SageMaker
- Basic knowledge of AWS
- Basic knowledge of Python
CodeWhisperer Essentials
- Basic knowledge of programming
Working with Big Data on AWS
- Familiarity with the concept of Big Data
- Amazon AWS basic knowledge
Automating Machine Learning on AWS
- Basic knowledge of AWS
- Basic knowledge of Python
Python for Machine Learning
- Basic knowledge of programming
- Familiarity with Linux
Working with Big Data on AWS
- Familiarity with the concept of Big Data
- Amazon AWS basic knowledge
Automating Machine Learning on AWS
- Basic knowledge of AWS
- Basic knowledge of Python
MLOps Engineering on AWS
- Basic knowledge of AWS
- DevOps Engineering AWS
Python for Machine Learning
- Basic knowledge of programming
- Familiarity with Linux
AI on Azure Cloud
- Familiarity with Python
- Familiarity with the use of REST-based APIs
Generative AI on Azure Public Cloud
- Basic knowledge of Python
- Basic knowledge of Azure
Artificial intelligence is not just an option
IT'S THE FUTURE
With our Learning Paths, your team will gain comprehensive technical expertise that is applicable immediately. From basic to advanced implementation, we ensure preparation that will not only enable you to stay on top of, but drive innovation.