AI and Machine Learning – Business Implementation Track

This course is designed for professionals seeking to apply Artificial Intelligence (AI) and Machine Learning (ML) tools in real-world business environments, using Python, modern frameworks, and automation methodologies focused on productivity and return on investment. The training covers everything…

60 hours
Official Certificate
Expert Instructors
Online Learning
AI and Machine Learning – Business Implementation Track
Certitalents logo

Course Modules

Módulo 1: Fundamentos de IA, ML y Matemáticas Aplicadas

  • Introducción a IA, Machine Learning y Deep Learning
  • IA débil, fuerte y general
  • Aplicaciones en negocios e industria
  • Álgebra lineal básica para ML: vectores, matrices, operaciones
  • Probabilidad y estadística aplicada: distribuciones, media, varianza, Bayes, árboles de decisión
  • Ética, sesgos y responsabilidad social de la IA (enfoque transversal)

  • Jupyter Notebook como entorno de trabajo
  • Librerías clave: NumPy, Pandas, Matplotlib, Seaborn
  • Limpieza, transformación y análisis de datos reales
  • Manejo de valores nulos, codificación, escalamiento
  • Visualización e interpretación de variables y correlaciones

  • Regresión lineal y logística
  • Árboles de decisión, Random Forest, Gradient Boosting
  • SVM: fundamentos y aplicación
  • Evaluación de modelos: accuracy, recall, precision, F1-score, ROC-AUC
  • Validación cruzada, overfitting y ajuste de modelos

  • Clustering: K-means, DBSCAN, jerárquico
  • Reducción de dimensionalidad: PCA, t-SNE
  • Análisis de outliers y segmentación
  • Visualización avanzada de grupos y patrones

  • Limpieza de texto: tokenización, stemming, lematización
  • Representaciones: Bag of Words, TF-IDF, Word2Vec
  • Clasificación de texto, análisis de sentimientos
  • Introducción a modelos transformers y embeddings
  • Aplicaciones reales: atención al cliente, análisis de reseñas

  • Redes neuronales artificiales con Keras y TensorFlow
  • Redes convolucionales (CNN) para imágenes
  • RNN y LSTM para series temporales y texto
  • Técnicas de regularización: Dropout, Early Stopping
  • Ajuste de hiperparámetros

  • APIs RESTful con Flask/FastAPI para servir modelos
  • Introducción a Docker: contenedores para IA
  • MLFlow para versionado de modelos y datasets
  • Automatización de flujos de entrenamiento y monitoreo básico

  • Introducción a LLMs (GPT, Claude, Mistral, etc.)
  • Creación de asistentes inteligentes con ChatGPT y Hugging Face
  • Integración con sistemas internos: CRMs, ERPs, procesos
  • Aplicaciones prácticas: generación de contenido, atención automatizada, soporte interno

  • Detección de procesos automatizables
  • Automatización de decisiones y predicciones
  • Casos reales: marketing, logística, ventas, RRHH y sostenibilidad
  • Diseño de soluciones con foco en ROI, escalabilidad e innovación

  • Desarrollo de una solución real aplicando todo lo aprendido
  • Presentación del modelo, impacto generado y retorno esperado
  • Documentación técnica del proyecto: funcionamiento, aplicación, necesidad cubierta
  • Subida del proyecto a repositorio con control de versiones
  • Evaluación por pares e instructores

Current process description

This course is designed for professionals seeking to apply Artificial Intelligence (AI) and Machine Learning (ML) tools in real-world business environments, using Python, modern frameworks, and automation methodologies focused on productivity and return on investment. The training covers everything from theoretical foundations to the deployment of intelligent solutions, with a practical, project-based approach.

Objectives

Upon completing the course, the participant will be able to:

  • Apply AI and ML concepts in business environments
  • Use Python and data science libraries for data manipulation and analysis
  • Train supervised and unsupervised models
  • Apply Natural Language Processing (NLP) and generative artificial intelligence
  • Deploy models using APIs and containers
  • Integrate intelligent agents (LLMs) into real-world processes
  • Automate business workflows with a focus on return on investment (ROI)
  • Develop and present a real-world intelligent automation project

Prerequisites

To participate in this training, attendees must meet the following requirements:

  • Solid foundation in programming logic and data structures
  • Practical knowledge of Python, including functions, control structures, lists, and file handling
  • Experience with frameworks such as Django or Flask
  • Basic understanding of linear algebra and statistics
  • Familiarity with Jupyter Notebook
  • Ability to work with data formats such as CSV, Excel, and JSON
  • Desirable: Experience in projects involving automation, data analysis, or visualization

What Does This Course Include?

Our Value Proposition Benefit for Participant or Company
AI and Machine Learning – Business Implementation Track 60 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 Certitalents

• Infinity Training Institute USA: International Certification Diploma in English

• Aula Matriz IETDH Colombia - Certificate of participation

Why choose Infinity Training Institute?

1. Internationally guaranteed certifications
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.

Payment Options

Make your payment quickly, safely and reliably

  • For bank transfer payments, request the details by email customerservice@infinityti.org

Log In

Para continuar con tu inscripción, debes iniciar sesión o crear una cuenta.

Current process description

This course is designed for professionals seeking to apply Artificial Intelligence (AI) and Machine Learning (ML) tools in real-world business environments, using Python, modern frameworks, and automation methodologies focused on productivity and return on investment. The training covers everything from theoretical foundations to the deployment of intelligent solutions, with a practical, project-based approach.

Objectives

Upon completing the course, the participant will be able to:

  • Apply AI and ML concepts in business environments
  • Use Python and data science libraries for data manipulation and analysis
  • Train supervised and unsupervised models
  • Apply Natural Language Processing (NLP) and generative artificial intelligence
  • Deploy models using APIs and containers
  • Integrate intelligent agents (LLMs) into real-world processes
  • Automate business workflows with a focus on return on investment (ROI)
  • Develop and present a real-world intelligent automation project

Prerequisites

To participate in this training, attendees must meet the following requirements:

  • Solid foundation in programming logic and data structures
  • Practical knowledge of Python, including functions, control structures, lists, and file handling
  • Experience with frameworks such as Django or Flask
  • Basic understanding of linear algebra and statistics
  • Familiarity with Jupyter Notebook
  • Ability to work with data formats such as CSV, Excel, and JSON
  • Desirable: Experience in projects involving automation, data analysis, or visualization

What Does This Course Include?

Our Value Proposition Benefit for Participant or Company
AI and Machine Learning – Business Implementation Track 60 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 Certitalents

• Infinity Training Institute USA: International Certification Diploma in English

• Aula Matriz IETDH Colombia - Certificate of participation

Why choose Infinity Training Institute?

1. Internationally guaranteed certifications
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.

Payment Options

Make your payment quickly, safely and reliably

  • For bank transfer payments, request the details by email customerservice@infinityti.org

Log In

Para continuar con tu inscripción, debes iniciar sesión o crear una cuenta.

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