Course Modules
Module 1: Introduction to Azure AI and General Architecture
-
Fundamentals of cloud artificial intelligence.
-
Cognitive services in Azure.
-
Pre-trained vs. custom models.
-
Planning AI solutions at scale.
Module 2: Implementation of Computer Vision
-
Use of Computer Vision API: OCR, image and video analysis.
-
Custom Vision for custom models.
-
Real-time text reading.
-
Use cases: security, manufacturing, healthcare.
Module 3: Natural Language Processing (NLP)
-
Azure Language Service: sentiment analysis, language detection.
-
Entity recognition and key phrase extraction.
-
Machine translation.
-
Creating custom NLP flows with LUIS.
Module 4: Creating Conversational Agents with Azure Bot Service
-
Introduction to the Azure Bot Framework.
-
Integration with cognitive services.
-
Designing conversations and flows.
-
Publishing bots on channels (Teams, Web, etc.).
Module 5: Document Intelligence and Knowledge Mining
-
Azure Form Recognizer and Document Intelligence.
-
Indexing with Azure Cognitive Search.
-
Cognitive search pipelines.
-
Integration with enterprise solutions.
Module 6: Implementing Generative AI with Azure OpenAI
-
Fundamentals of GPT and DALL·E models.
-
Creating effective prompts.
-
Practical applications of generative AI in business.
-
Ethical considerations and Responsible AI.
Module 7: Automation, Integration, and Deployment
-
Use of SDKs and REST APIs.
-
Deployment of AI models with containers.
-
Automation with Azure DevOps or GitHub Actions.
-
Version control, scalability, and monitoring.
Module 8: Security, Governance, and Responsible AI
-
Configuration of roles, keys, and permissions in cognitive services.
-
Monitoring, auditing, and usage control.
-
Implementation of responsible AI principles.
-
Reporting metrics and performance metrics.
Module 9: Exam AI-102 Preparation
-
General review of exam objectives.
-
Practice tests with feedback.
-
Practical tips and real cases.
-
Recommendations for successful presentation.
Current process description
Technical certification that validates your ability to design, develop, implement, and maintain artificial intelligence solutions in Azure. It covers services such as computer vision, natural language processing, knowledge mining, intelligent agents, and generative models.
Objectives
Upon completion, the student will be able to:
- Design and implement AI architectures in Azure aligned with functional requirements
- Use vision services (e
- g
- , Custom Vision) for image and video analysis
- Develop NLP solutions: text analysis, entity recognition, translation, and conversational bots
- Build knowledge mining pipelines with Azure Search and Document Intelligence
- Implement generative solutions using Azure OpenAI (GPT models, DALL·E)
- Integrate AI models into applications using APIs, SDKs, CI/CD, and containers
- Manage and secure cognitive services by applying best practices in monitoring, governance, and Responsible AI
Prerequisites
No prior knowledge is strictly required, but it is highly recommended that the candidate has:
- Experience in programming (Python or C#)
- Knowledge of using REST APIs and Azure AI SDKs
- Familiarity with the Azure portal and creating cognitive services
What Does This Course Include?
| Our Value Proposition | Benefit for Participant or Company |
|---|---|
| International Certification Azure AI Engineer Associate (AI‑102) | 36 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
Technical certification that validates your ability to design, develop, implement, and maintain artificial intelligence solutions in Azure. It covers services such as computer vision, natural language processing, knowledge mining, intelligent agents, and generative models.
Objectives
Upon completion, the student will be able to:
- Design and implement AI architectures in Azure aligned with functional requirements
- Use vision services (e
- g
- , Custom Vision) for image and video analysis
- Develop NLP solutions: text analysis, entity recognition, translation, and conversational bots
- Build knowledge mining pipelines with Azure Search and Document Intelligence
- Implement generative solutions using Azure OpenAI (GPT models, DALL·E)
- Integrate AI models into applications using APIs, SDKs, CI/CD, and containers
- Manage and secure cognitive services by applying best practices in monitoring, governance, and Responsible AI
Prerequisites
No prior knowledge is strictly required, but it is highly recommended that the candidate has:
- Experience in programming (Python or C#)
- Knowledge of using REST APIs and Azure AI SDKs
- Familiarity with the Azure portal and creating cognitive services
What Does This Course Include?
| Our Value Proposition | Benefit for Participant or Company |
|---|---|
| International Certification Azure AI Engineer Associate (AI‑102) | 36 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.