Course Information
Course Overview
Build strong Generative AI and LLM foundations with NVIDIA while preparing confidently for the NCA-GENL certification
NVIDIA 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 NVIDIA Certified Associate – Generative AI and LLMs (NCA-GENL) exam.
This course follows the official NVIDIA 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
NVIDIA’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 NVIDIA NCA-GENL certification exam
Aligned with the official NVIDIA 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.
Course Content
- 10 section(s)
- 122 lecture(s)
- Section 1 Welcome
- Section 2 Why Generative AI Matters for Companies and You?
- Section 3 NVIDIA Certification Details
- Section 4 Module 1 - AI Infrastructure
- Section 5 Module 2 - AI and ML Fundamentals
- Section 6 Module 3 - Generative AI & LLM
- Section 7 Module 4 - Transformer Architecture
- Section 8 Module 5 - Model Selection
- Section 9 Module 6 - Model Customization
- Section 10 Module 7 - Model Training
What You’ll Learn
- Understand the fundamentals of Generative AI and LLMs, including model architecture, training, and deployment using NVIDIA technologies.
- Prepare for the NCA-GENL certification by mastering key concepts, practical applications, and industry best practices in generative AI.
- Gain hands-on knowledge of NVIDIA 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.
Skills covered in this course
Reviews
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HHepher
Excellent Course. All the topics which are required for the certification are covered. Author has very good knowledge of NVIDIA . Anyone interested in GenAI Hardware stack and Software stack on NVidia GPUs should go through this course.
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AAnjana Muthunayake
This course is well-structured and easy to follow, making it simple to understand NVIDIA technologies, Generative AI, and Transformer architectures through clear real-life analogies.
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AArvind
relevant and good topic coverage
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NNikunj Patel
The training sessions are very detailed, clear, and straight to the point. I’m really enjoying the course. We use GenAI products and portals all the time, but I always wondered how they actually work behind the scenes. This training connects the dots and explains the fundamentals clearly, making it much easier to understand how this trending AI technology really works in practice. Highly informative and well explained.