Course Modules
Módulo I: Fundamentos de IA y ML
Introducción a conceptos clave como IA, ML, deep learning, redes neuronales y NLP. Estudio de tipos de inferencia (batch vs real‑time), clasificación de datos (estructurados, no estructurados), y diferencias entre aprendizaje supervisado, no supervisado y por refuerzo
Módulo II: Fundamentos de Generative AI
Cobertura de modelos generativos: tokens, embeddings, prompt engineering. Exploración de uso en generación de texto, imágenes, audio, resumido, chatbots y código. Ciclo de vida de un modelo (pre‑entrenamiento a despliegue)
Módulo 3: Aplicaciones de Modelos Fundamentales
Diseño de soluciones usando foundation models: criterios de selección (costo, latencia, idioma), uso de RAG, vector databases (OpenSearch, Aurora, Neptune), técnicas de fine‑tuning, chain‑of‑thought prompting y evaluación con métricas (BLEU, ROUGE, BERTScore)
Módulo IV: Principios de IA Responsable
Implementación de IA ética: equidad, inclusión, transparencia y explicabilidad. Uso de herramientas como SageMaker Clarify, Model Cards, guardrails en Bedrock. Cobertura de sesgos, impacto ambiental e implicaciones legales
Módulo V: Seguridad, Cumplimiento y Gobernanza
Gestión de seguridad en soluciones AI: IAM, cifrado, Macie, PrivateLink; modelo de responsabilidad compartida. Estrategias de gobernanza, auditoría, cumplimiento (ISO, SOC), AWS Config e Inspector
Módulo VI: Servicios y Arquitecturas en AWS para IA
Revisión práctica de herramientas AWS relevantes: SageMaker, Bedrock, Comprehend, Rekognition, Lex, Polly, Translate; infraestructuras subyacentes (S3, EC2, Lambda, VPC)
Módulo VII: Laboratorios Prácticos Guiados
Desarrollo hands‑on: pipelines de ML simples, Q&A sobre prompt tuning, uso de Bedrock y evaluación de modelos con SageMaker tools.
Módulo VIII: Simulacros y Técnicas de Examen
Simulados con formato oficial (multiple‑choice, matching, ordering, case study), flashcards y revisión de patrones de preguntas
Módulo IX: Casos de Uso Empresariales
Análisis de escenarios reales en finanzas, salud, marketing, soporte: selección de modelos, flujo de datos, riesgos y mitigación.
Módulo X: Estudio de Arquitectura Operational
Integración de IA en procesos empresariales: seguridad en flujos AI, monitoreo, eficiencia de costos, escalabilidad.
Módulo XI: Preparación y Revisión Final
Resumen de mejores prácticas, recursos (Well‑Architected, whitepapers, exam guide), plan de estudio personalizado y checklist previo al examen.
Current process description
This course provides you with a clear and structured understanding of the fundamental concepts of Artificial Intelligence (AI) and Machine Learning (ML), using Amazon Web Services (AWS) tools and services. Designed for professionals with no prior programming or data science experience, the program prepares you to obtain the official AWS Certified AI Practitioner (AIF-C01) certification.
Throughout the course, you will learn to identify real-world AI use cases, distinguish between different types of learning (supervised, unsupervised, and reinforcement learning), and understand how generative language models such as Foundation Models work. You will also explore key AWS services such as SageMaker JumpStart, Amazon Bedrock, Amazon Q, and PartyRock, applying governance and ethical principles to the responsible use of AI.
Objectives
Upon completing this certification, the student will be able to:
- Understand essential concepts of AI, ML, and generative models
- Identify and assess the most common AI use cases in business environments
- Apply pretrained models and AI services available on AWS
- Implement best practices for the ethical and responsible use of artificial intelligence
- Recognize key aspects of security, privacy, and governance in AI projects
Prerequisites
No prior knowledge is strictly required, but it is highly recommended that the candidate:
- Has a general understanding of cloud computing
- Understands basic data and programming concepts
- Is familiar with the AWS environment (console, IAM, basic services)
- Purpose of these prerequisites:
- To ensure a smooth learning curve focused on the practical application of AI models, without getting bogged down in overly technical fundamentals
What Does This Course Include?
| Our Value Proposition | Benefit for Participant or Company |
|---|---|
| International Certification AWS Certified AI Practitioner (AIF‑C01) | 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 AWS ACADEMY MEMBER INSTITUTION
• 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 course provides you with a clear and structured understanding of the fundamental concepts of Artificial Intelligence (AI) and Machine Learning (ML), using Amazon Web Services (AWS) tools and services. Designed for professionals with no prior programming or data science experience, the program prepares you to obtain the official AWS Certified AI Practitioner (AIF-C01) certification.
Throughout the course, you will learn to identify real-world AI use cases, distinguish between different types of learning (supervised, unsupervised, and reinforcement learning), and understand how generative language models such as Foundation Models work. You will also explore key AWS services such as SageMaker JumpStart, Amazon Bedrock, Amazon Q, and PartyRock, applying governance and ethical principles to the responsible use of AI.
Objectives
Upon completing this certification, the student will be able to:
- Understand essential concepts of AI, ML, and generative models
- Identify and assess the most common AI use cases in business environments
- Apply pretrained models and AI services available on AWS
- Implement best practices for the ethical and responsible use of artificial intelligence
- Recognize key aspects of security, privacy, and governance in AI projects
Prerequisites
No prior knowledge is strictly required, but it is highly recommended that the candidate:
- Has a general understanding of cloud computing
- Understands basic data and programming concepts
- Is familiar with the AWS environment (console, IAM, basic services)
- Purpose of these prerequisites:
- To ensure a smooth learning curve focused on the practical application of AI models, without getting bogged down in overly technical fundamentals
What Does This Course Include?
| Our Value Proposition | Benefit for Participant or Company |
|---|---|
| International Certification AWS Certified AI Practitioner (AIF‑C01) | 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 AWS ACADEMY MEMBER INSTITUTION
• 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.