Course Modules
Module I: Introduction to Azure Machine Learning
- Introduction to Azure Machine Learning
- Azure Machine Learning Tools
Module II: No-Code Machine Learning with Designer
- Training models with Designer
- Publishing models with Designer
Module III: Execution of Experiments and Training Models
- Introduction to Experiments
- Training and Registration of Models
Module IV: Working with Data
- Working with data warehouses
- Working with datasets
Module V: Calculate Contexts
- Working with environments
- Working with computing objectives
Module VI: Orchestration of Operations with Pipelines
- Introduction to Pipelines
- Publishing and Executing Pipelines
Module VII: Implementation and Consumption of Models
- Real-time inference
- Batch inference
Module VIII: Training Optimal Models
- Hyperparameter tuning
- Automated Machine Learning
Module IX: Interpret Models
- Introduction to Model Interpretation
- Using Model Explanations
Module X: Supervised Models
- Monitoring models with Application Insights
- Monitoring data drift
Current process description
This program is designed to provide integral training in cloud data science with Microsoft Azure, focusing on data preparation, construction of automatic learning models and implementation of artificial intelligence solutions.
This program prepares participants to obtain international certification:
Azure Data Scientist Associate (DP-100).
Participants will learn to build and operate Machine Learning solutions in the cloud, using Azure Machine Learning and Frameorks to tools for SCIKIT-learning, Pytorch and Tensorflow.
Following the practical Learning Method approach, students will develop practical laboratories, simulations and real projects, ensuring the application of knowledge acquired in a work environment.
Objectives
At the end of the course, participants will be able to:
- Configure and manage an Azure Machine Learning environment.
- Execute Machine Learning experiments and train models in Azure.
- Optimize automatic learning models and make parameter settings.
- Implement artificial intelligence solutions in Azure and consume models in production.
- Automate Machine Learning workflows with pipes.
- Monitor and evaluate the performance of Machine Learning models in the cloud.
- Obtain the International Azure Data Scientist Associate certification (DP-100).
Prerequisites
For optimal use of the course, it is mandatory that the participant has:
- Basic knowledge of Azure, equivalent to the Microsoft Azure Data Fundamental course.
- Experience programming in Python, especially working with data through libraries such as: Numpy Pandas, Matpletlib
- Knowledge in data science, including data preparation and training of Machine Learning models with tools such as: Scikit-Learn, Pytorch, Tensorflow
What Does This Course Include?
| Our Value Proposition | Benefit for Participant or Company |
|---|---|
| International Azure Certification Data Scientist Associate (DP-100) | 24 hours |
| • E-learning reinforcement topics and exclusive materials and simulators | • Complementary platform with digital resources, study guides, support recordings and exam simulators. |
| • Flexible educational model (in-person or live remote) | • Possibility to choose modality without losing human interaction and teaching support. |
| • Focus on employability and professional performance and exam preparation. | • Preparation oriented to certification, job performance and professional scaling based on practice, enhanced with AI support. |
| • Integration of Artificial Intelligence in learning | • Students use AI tools to reinforce understanding, practice exams and enhance their productivity. |
| • International Certification included | • Official endorsement with global recognition. Includes certification exams and access to the partner platform. |
| • Laboratories in real learning environments. | • Unlimited practical experience with real lab accounts and access to professional cloud infrastructure. |
| • Live classes with certified expert instructors. | • Guided and personalized training with direct real-time support, not offline. Recorded classes only for review. |
| • Personalized attention, small groups. | • Individual tracking, progress evaluations and technical support during training. AI-proctored performance examiner. |
| • Post-certification support and extended access to resources | • Post-assistance, access to materials for and continuous updates. |
| • Practical methodology and real and/or simulated projects. | • Applied learning from day one: simulations, business cases, projects and real cloud environments. |
| • Certificates of Approval and/or participation. | • International Certification by Microsoft It Academy
• Infinity Training Institute USA: International Certification Diploma in English • Aula Matriz IETDH Colombia - Certificate of participation |
Why choose Infinity Training Institute?
All our courses are Internationally certified:
- Infinity Training Institute USA: International Certification Diploma in English.
- International Certification from our partners Microsoft, Oracle, Certitalents, AWS, PMI, Cisco, etc.
2. We are not an automatic platform, nor self-study through videos
We are a unique model, in-person or Remote modality (with live instructor). Technology + pedagogy + AI + expert instructors + real practice — not self-study or outdated content.
3. Training designed for today's job market
Experience applicable immediately in interviews, technical tests and real work environments.
4. Real or simulated projects with international standards
Students access real environments such as Azure, AWS, Google Cloud, Oracle Cloud, develop real or simulated projects, building a demonstrable technical portfolio depending on the type of course or certification they have chosen.
5. A unique combination in Latin America and the USA
Certification + real practice + AI + continuous support + dual diploma.
6. Proven results
More than 95% of our graduates obtain official certification and improve professionally in less than six months.
7. Competency level guarantee
If the student during the practical training process does not reach a minimum performance level of 75%, they must repeat the course if the instructor determines so, and the student has shown the commitment and minimum class attendance required by the model.
Your professional future starts here
At Infinity Training Institute we boost your growth with an innovative, flexible model focused on real learning and performance evaluation. Certified instructors, intensive practice, integrated AI and constant support: world-class training.
Learning Methodology
At Infinity Training Institute, we apply a comprehensive, ever-evolving methodology centered on practical learning, powered by Artificial Intelligence, enabling personalized instruction, performance assessment, and optimized preparation for international certifications with certified instructors, real labs, simulators, and e-learning platforms. Participants learn by doing, developing technical and professional skills in small groups, with personalized follow-up and pre and post-certification support. Infinity Training Institute: Learn. Apply. Get Certified. Transcend.
Current process description
This program is designed to provide integral training in cloud data science with Microsoft Azure, focusing on data preparation, construction of automatic learning models and implementation of artificial intelligence solutions.
This program prepares participants to obtain international certification:
Azure Data Scientist Associate (DP-100).
Participants will learn to build and operate Machine Learning solutions in the cloud, using Azure Machine Learning and Frameorks to tools for SCIKIT-learning, Pytorch and Tensorflow.
Following the practical Learning Method approach, students will develop practical laboratories, simulations and real projects, ensuring the application of knowledge acquired in a work environment.
Objectives
At the end of the course, participants will be able to:
- Configure and manage an Azure Machine Learning environment.
- Execute Machine Learning experiments and train models in Azure.
- Optimize automatic learning models and make parameter settings.
- Implement artificial intelligence solutions in Azure and consume models in production.
- Automate Machine Learning workflows with pipes.
- Monitor and evaluate the performance of Machine Learning models in the cloud.
- Obtain the International Azure Data Scientist Associate certification (DP-100).
Prerequisites
For optimal use of the course, it is mandatory that the participant has:
- Basic knowledge of Azure, equivalent to the Microsoft Azure Data Fundamental course.
- Experience programming in Python, especially working with data through libraries such as: Numpy Pandas, Matpletlib
- Knowledge in data science, including data preparation and training of Machine Learning models with tools such as: Scikit-Learn, Pytorch, Tensorflow
What Does This Course Include?
| Our Value Proposition | Benefit for Participant or Company |
|---|---|
| International Azure Certification Data Scientist Associate (DP-100) | 24 hours |
| • E-learning reinforcement topics and exclusive materials and simulators | • Complementary platform with digital resources, study guides, support recordings and exam simulators. |
| • Flexible educational model (in-person or live remote) | • Possibility to choose modality without losing human interaction and teaching support. |
| • Focus on employability and professional performance and exam preparation. | • Preparation oriented to certification, job performance and professional scaling based on practice, enhanced with AI support. |
| • Integration of Artificial Intelligence in learning | • Students use AI tools to reinforce understanding, practice exams and enhance their productivity. |
| • International Certification included | • Official endorsement with global recognition. Includes certification exams and access to the partner platform. |
| • Laboratories in real learning environments. | • Unlimited practical experience with real lab accounts and access to professional cloud infrastructure. |
| • Live classes with certified expert instructors. | • Guided and personalized training with direct real-time support, not offline. Recorded classes only for review. |
| • Personalized attention, small groups. | • Individual tracking, progress evaluations and technical support during training. AI-proctored performance examiner. |
| • Post-certification support and extended access to resources | • Post-assistance, access to materials for and continuous updates. |
| • Practical methodology and real and/or simulated projects. | • Applied learning from day one: simulations, business cases, projects and real cloud environments. |
| • Certificates of Approval and/or participation. | • International Certification by Microsoft It Academy
• Infinity Training Institute USA: International Certification Diploma in English • Aula Matriz IETDH Colombia - Certificate of participation |
Why choose Infinity Training Institute?
1. Internationally guaranteed certificationsAll our courses are Internationally certified:
- Infinity Training Institute USA: International Certification Diploma in English.
- International Certification from our partners Microsoft, Oracle, Certitalents, AWS, PMI, Cisco, etc.
2. We are not an automatic platform, nor self-study through videos
We are a unique model, in-person or Remote modality (with live instructor). Technology + pedagogy + AI + expert instructors + real practice — not self-study or outdated content.
3. Training designed for today's job market
Experience applicable immediately in interviews, technical tests and real work environments.
4. Real or simulated projects with international standards
Students access real environments such as Azure, AWS, Google Cloud, Oracle Cloud, develop real or simulated projects, building a demonstrable technical portfolio depending on the type of course or certification they have chosen.
5. A unique combination in Latin America and the USA
Certification + real practice + AI + continuous support + dual diploma.
6. Proven results
More than 95% of our graduates obtain official certification and improve professionally in less than six months.
7. Competency level guarantee
If the student during the practical training process does not reach a minimum performance level of 75%, they must repeat the course if the instructor determines so, and the student has shown the commitment and minimum class attendance required by the model.
Your professional future starts here
At Infinity Training Institute we boost your growth with an innovative, flexible model focused on real learning and performance evaluation. Certified instructors, intensive practice, integrated AI and constant support: world-class training.
Learning Methodology
At Infinity Training Institute, we apply a comprehensive, ever-evolving methodology centered on practical learning, powered by Artificial Intelligence, enabling personalized instruction, performance assessment, and optimized preparation for international certifications with certified instructors, real labs, simulators, and e-learning platforms. Participants learn by doing, developing technical and professional skills in small groups, with personalized follow-up and pre and post-certification support. Infinity Training Institute: Learn. Apply. Get Certified. Transcend.