7 Courses
Comprehensive study roadmap for NVIDIA DLI Generative AI courses — from Diffusion Models, RAG Agents, Agentic AI to LLM Evaluation & Fine-tuning. 10 in-depth lessons with hands-on code, coding assessment practice, and sample questions closely matching the real exam.
A comprehensive study guide for the CKA (Certified Kubernetes Administrator) exam. Covers all 5 hands-on domains: Troubleshooting (30%), Cluster Architecture (25%), Services & Networking (20%), Workloads & Scheduling (15%), Storage (10%). 12 lessons with hands-on terminal exercises.
A comprehensive study roadmap for the CKAD (Certified Kubernetes Application Developer) exam. Fully covers all 5 hands-on domains: App Environment & Security (25%), App Design & Build (20%), App Deployment (20%), Services & Networking (20%), App Observability (15%). 10 lessons with hands-on terminal exercises.
A comprehensive study path for the KCNA (Kubernetes and Cloud Native Associate) exam. Covers all 5 domains: Kubernetes Fundamentals (46%), Container Orchestration (22%), Cloud Native Architecture (16%), Observability (8%), Application Delivery (8%). 9 in-depth lessons with English practice quizzes.
Comprehensive study guide for the Google Cloud Professional Machine Learning Engineer exam. Vertex AI, BigQuery ML, TFX pipeline, MLOps on GCP.
An in-depth study guide for the AWS Certified Machine Learning - Specialty (MLS-C01) exam. Master SageMaker, data engineering, modeling, and ML deployment on AWS at the expert level.
A comprehensive study guide for the AWS Certified AI Practitioner (AIF-C01) exam. Covers all 5 domains: AI/ML Fundamentals, Generative AI, Foundation Models, Responsible AI, Security & Governance. 12 in-depth lessons with English practice exams.