GenAI & LLMs Associate
Learn Generative AI and LLMs with hands-on content aligned to industry certification objectives (Associate)
Lo que serás capaz de hacer
GenAI & LLMs: Learn and Pass NCA-GENL Certification Generative AI and Large Language Models (LLMs) are transforming how software is built, how businesses operate, and how careers grow. This is a beginner-to-intermediate course designed to help you understand Generative AI deeply while confidently preparing for the Certified Associate – Generative AI and LLMs (NCA-GENL) exam. This course follows the official exam guide and curriculum , ensuring every topic you learn directly aligns with certification objectives—while also building practical, real-world GenAI skills that go beyond exam prep. What You’ll Learn Core Generative AI and LLM fundamentals , including transformers, neural networks, and generative workflows How data, prompts, models, and compute work together in modern GenAI systems Key concepts in prompt engineering, RAG, data pre-processing, model training, and model evaluation GPU’s role in accelerating Generative AI, LLMs, and AI workloads Foundational knowledge that supports Agentic AI, Machine Learning, and advanced AI applications How This Course Teaches Real-life analogies to make complex GenAI concepts easy to understand Whiteboarding-style explanations to clearly break down architectures and workflows Simple diagrams and easy-to-understand graphics for visual learning Comparison tables to clearly differentiate models, techniques, and AI approaches Concept-first teaching so knowledge sticks and applies to real work Certification & Career Benefits Complete preparation for the NCA-GENL certification exam Aligned with the official exam study guide Ideal for roles such as: Machine Learning Engineer Data Scientist Generative AI or LLM Specialist AI DevOps Engineer Software Engineer or Cloud / Solutions Architect Also perfect for beginners and career switchers looking to enter the GenAI field Why Enroll? Whether you want to pass the NCA-GENL certification , build a strong foundation in Generative AI and LLMs , or prepare for future roles in Agentic AI and Machine Learning , this course gives you the clarity, confidence, and skills to succeed in today’s AI-driven world.
- Understand the fundamentals of Generative AI and LLMs, including model architecture, training, and deployment .
- Prepare for the NCA-GENL certification by mastering key concepts, practical applications, and industry best practices in generative AI.
- Gain hands-on knowledge of stack, frameworks, and tools that power large language models and generative AI applications.
- Develop the skills to design, implement, and optimize GenAI workflows, preparing you for real-world AI and machine learning projects.
Temario
UNIDAD 1 - Welcome · 1 leccionesUNIDAD 1 - Welcome
UNIDAD 1 - Welcome
- Introduction
UNIDAD 2 - Why Generative AI Matters for Companies and You? · 1 leccionesUNIDAD 2 - Why Generative AI Matters for Companies and You?
UNIDAD 2 - Why Generative AI Matters for Companies and You?
- Why Companies Invest in Generative AI—and Why It Matters to You
UNIDAD 3 - Certification Details · 2 leccionesUNIDAD 3 - Certification Details
UNIDAD 3 - Certification Details
- Know about Certification Tracks
- NCA-GENL Certification
UNIDAD 4 - Module 1 - AI Infrastructure · 11 leccionesUNIDAD 4 - Module 1 - AI Infrastructure
UNIDAD 4 - Module 1 - AI Infrastructure
- What we will cover?
- AII and ML Stack
- AI Infrastructure
- GPUs for AI and ML
- GPU vs. CPU
- GPU Architecture
- Memory Pooling
- Cloud vs. On-Prem
- Network Infrastructure
- Storage Infrastructure
- Module 1 - Summary
UNIDAD 5 - Module 2 - AI and ML Fundamentals · 6 leccionesUNIDAD 5 - Module 2 - AI and ML Fundamentals
UNIDAD 5 - Module 2 - AI and ML Fundamentals
- AI and ML
- Deep Learning
- A Simple Use Case
- What is a Model?
- Training a Model
- Module 2 - Summary
UNIDAD 6 - Module 3 - Generative AI & LLM · 6 leccionesUNIDAD 6 - Module 3 - Generative AI & LLM
UNIDAD 6 - Module 3 - Generative AI & LLM
- What is Generative AI?
- Foundation Model
- Large Language Model
- Road to Generative AI
- Transformers
- Module 3 - Summary
UNIDAD 7 - Module 4 - Transformer Architecture · 15 leccionesUNIDAD 7 - Module 4 - Transformer Architecture
UNIDAD 7 - Module 4 - Transformer Architecture
- Transformer - The engine behind Modern AI
- How Transformers work?
- Tokenization
- Encoding
- Word Embedding
- Decoding
- Output
- Positional Encoding
- Transformer Explainer
- Attention Mechanism
- Multi Head Attention
- Encoder Decoder
- Which one to use?
- Prediction Strategy
- Module 4 - Summary
UNIDAD 8 - Module 5 - Model Selection · 10 leccionesUNIDAD 8 - Module 5 - Model Selection
UNIDAD 8 - Module 5 - Model Selection
- How to Pick the Right AI Foundation Model?
- Model Selection Process
- SLM vs. LLM
- Model Evaluation
- Metrics that Matters
- Metrics Comparision
- Cross Validation
- A/B Testing
- Selecting Best Model
- Module 5 - Summary
UNIDAD 9 - Module 6 - Model Customization · 12 leccionesUNIDAD 9 - Module 6 - Model Customization
UNIDAD 9 - Module 6 - Model Customization
- Why Customize a Model?
- Prompt Engineering
- System Prompt
- Retrieval Augmented Generation (RAG)
- Chunking
- Transfer Learning
- Transfer Learning Approaches
- Transfer Learning Use Cases
- Fine-Tuning
- Knowledge Distillation
- Accuracy on a Validation Set
- Module 6 - Summary
UNIDAD 10 - Module 7 - Model Training · 16 leccionesUNIDAD 10 - Module 7 - Model Training
UNIDAD 10 - Module 7 - Model Training
- Model Training Analogy
- Beer or Wine
- Order of Steps
- Data Collection
- Data Processing - RegEx
- Data Processing - EDA
- EDA Techniques
- Model Training
- Model Training Phases
- Model Evaluation
- Model Deployment
- Options for Deployment
- ONNX Format
- Quantization
- Post Deployment
- Module 7 - Summary
UNIDAD 11 - Module 8 - The Eco-system · 14 leccionesUNIDAD 11 - Module 8 - The Eco-system
UNIDAD 11 - Module 8 - The Eco-system
- Eco-system
- GPUs
- CUDA
- GPU CLI Utility
- RAPIDS
- How RAPIDS work?
- Tensor-RT
- 83 - Tensor-RT vs Quantization vs. ONNX
- NeMo
- Triton
- Dynamic Batching
- NGC Catalog
- Other Integration
- Module 8 - Summary
UNIDAD 12 - Module 9 - Ethical AI · 11 leccionesUNIDAD 12 - Module 9 - Ethical AI
UNIDAD 12 - Module 9 - Ethical AI
- Ethical AI
- Building Trustworthy AI
- Confidential Computing
- NeMo Guardrails
- Embedding Classifier
- Data Lineage Tracking
- Red Teaming
- Data Augmentation
- Accountability
- Explainable AI
- Module 9 - Summary
UNIDAD 13 - Module 10 - Additional Topics · 16 leccionesUNIDAD 13 - Module 10 - Additional Topics
UNIDAD 13 - Module 10 - Additional Topics
- Forward and Back Propagation
- Vanishing Gradients
- Challenges of Vanishing Gradients
- Neuron
- Inside a Neuron
- Is it a Cat?
- ReLU vs Sigmoid
- Layer Normalization
- Named Entity Relationship
- Diffusion Algorithms
- Forward and Reverse Diffusion
- Forward Diffusion
- Reverse Diffusion
- Rapid Application Development (RAD)
- HuggingFace Transformers
- Module 10 - Summary
UNIDAD 14 - Tips for Certification Exam · 1 leccionesUNIDAD 14 - Tips for Certification Exam
UNIDAD 14 - Tips for Certification Exam
- Prepare for Certification Exam
Tu certificado lo emite la SEP, no solo una plataforma
Al demostrar la competencia recibes un certificado emitido por la Secretaría de Educación Pública a través del Gobierno del Estado de México: un documento oficial que puedes presentar con confianza ante cualquier empleador o institución.
Tu certificado con INEC
- Lo emite la Secretaría de Educación Pública (SEP), a través del Gobierno del Estado de México
- Documento oficial con folio verificable en línea
- Lo otorga la Universidad Tecnológica Fidel Velázquez
Otras plataformas en línea
- Constancia privada emitida por la misma plataforma
- Solo acredita horas cursadas o asistencia
- Sin respaldo de una autoridad educativa
Tu itinerario, de la inscripción al certificado
- 1
Inscripción con pago único
Pagas $2,800 MXN una sola vez y entras de inmediato al curso.
- 2
Estudias a tu ritmo
14 unidades con videos, lecturas y actividades, disponibles 24/7 durante 12 meses.
- 3
Cuestionarios por unidad
Cuestionarios para comprobar lo aprendido.
- 4
Certificado
Emitido por la SEP a través del Gobierno del Estado de México, con folio verificable.
Un certificado oficial de la SEP
Muestra · verificable por folio y QR
- Emitido por la Secretaría de Educación Pública (SEP), a través del Gobierno del Estado de México. No es una constancia privada: es un documento oficial, y ese respaldo marca la diferencia frente a otras plataformas en línea.
- Contenido impartido por Ashish Prajapati.
- Folio y QR verificables para compartirlo con quien te contrate.
Empieza hoy, a tu ritmo
Un solo pago y acceso inmediato al curso completo durante 12 meses.
- 14 unidades · 122 lecciones · 60 h
- 12 meses de acceso
- Certificado emitido por la SEP (Gob. del Estado de México) con folio verificable
Sobre tu inscripción
¿Cómo es el pago?
Un solo pago de $2,800 MXN. No hay mensualidades ni cargos recurrentes.
¿Cuánto tiempo tengo acceso?
12 meses desde tu inscripción, 24/7, para avanzar a tu ritmo.
¿Quién imparte el contenido?
El curso es impartido por Ashish Prajapati; INEC gestiona tu inscripción, evaluación y certificado.
¿Qué pasa cuando vence mi acceso?
Puedes renovar tu cuenta tú mismo desde la plataforma, sin trámites ni esperas.
