GenAI & LLMs: Learn and Pass NCA-GENL CertificationGenerative 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 LearnCore Generative AI and LLM fundamentals, including transformers, neural networks, and generative workflowsHow data, prompts, models, and compute work together in modern GenAI systemsKey concepts in prompt engineering, RAG, data pre-processing, model training, and model evaluationGPU’s role in accelerating Generative AI, LLMs, and AI workloadsFoundational knowledge that supports Agentic AI, Machine Learning, and advanced AI applicationsHow This Course TeachesReal-life analogies to make complex GenAI concepts easy to understandWhiteboarding-style explanations to clearly break down architectures and workflowsSimple diagrams and easy-to-understand graphics for visual learningComparison tables to clearly differentiate models, techniques, and AI approachesConcept-first teaching so knowledge sticks and applies to real workCertification & Career BenefitsComplete preparation for the NCA-GENL certification examAligned with the offici
What you'll learn
core fundamentals of Generative AI
understanding of transformers and neural networks
insight into data pre-processing and model evaluation
knowledge of GPU roles in AI workloads
skills in prompt engineering
Course objectives
prepare for the NCA-GENL certification exam
understand practical applications of Generative AI
gain a foundational knowledge for advanced AI applications