AWS Certified Machine Learning – Specialty (MLS-C01) Full Course 2026

Prepare for the AWS Certified Machine Learning – Specialty (MLS-C01) exam with this complete course covering ML concepts, AWS services, and real-world use cases. 🔥 DevOps Career Boost 🚀 Linux Foundation Certifications – 30% OFF 💥 Get 30% OFF Linux Foundation Courses & Certifications COUPON CODE: CLOUDGURU 👉 Enroll here for CKAD: https://training.linuxfoundation.org/... 👉 Enroll here for CKA: https://training.linuxfoundation.org/... 👉 Enroll here for CKS: https://training.linuxfoundation.org/... 👉 Enroll here for LFCS: https://training.linuxfoundation.org/... 👉 Enroll here for all courses and certifications: https://www.awin1.com/cread.php?awinm... 🔥 Join our Cloud Guru WhatsApp Community https://www.whatsapp.com/channel/0029... ☁️ Managed Cloud Hosting Deals 👉 Get CloudWays https://www.cloudways.com/en/?id=1365224 💥 CloudWays Coupon Code: CLOUDGURU25 Get 25% OFF for 3 months. 🚀 Try xCloud Hosting https://xcloud.host?fpr=cloudguru 💥 Get $200 FREE credits on signup. In this AWS ML Specialty full course, you’ll learn: ✔ AWS ML Specialty exam blueprint (MLS-C01) ✔ Data engineering & feature engineering ✔ Supervised & unsupervised ML algorithms ✔ Model training, tuning & deployment on AWS ✔ Exam tips, shortcuts & preparation strategy This course is ideal for: • Machine Learning engineers • Data scientists • AWS certification aspirants • DevOps & cloud professionals 📌 Services Covered: Amazon SageMaker S3, Glue, Athena Kinesis, EMR IAM & Security for ML Chapters: Exam Overview & Mechanics 01:48 - About the Exam (Building, Training, Deploying Models) 02:39 - The Four Exam Domains 04:34 - Testing Centers & Remote Proctoring 07:07 - User Interface (Flagging & Navigation) 08:38 - Scoring & Results (Transcript/Score Report) 10:53 - Question Mechanics (Multiple Choice vs. Multiple Selection) 11:47 - Level 300 Content (Synthesis & Application) Test-Taking Strategies 13:00 - Scenario-Based Questions 14:18 - Using Qualifiers to Eliminate Answers 15:58 - Identifying Key Phrases (e.g., "Automate" $\rightarrow$ Glue) 18:48 - Handling Calculations (Notepad vs. Paper) 20:51 - General Strategies During the Exam Domain 1: Data Engineering (20%) 22:40 - Domain Overview (Ingestion, Repositories, Transformation) 23:51 - Creating Data Repositories (S3 & Data Lakes) 27:24 - S3 Storage Tiers & Cost Considerations 28:36 - High-Performance Storage (FSx for Lustre & EFS) 31:40 - Data Ingestion Solutions (Kinesis & Firehose) 34:31 - Data Transformation (Glue & EMR) 37:25 - Quiz 1 Walkthrough Domain 2: Exploratory Data Analysis (24%) 52:49 - Domain Overview (Sanitizing & Preparing Data) 58:29 - Analyzing Correlations & Scatter Plots 01:02:17 - Feature Selection & Handling Outliers 01:04:51 - Imputing Missing Values 01:06:58 - Feature Engineering Concepts (Dimensionality Reduction) 01:13:38 - Data Encoding (One-Hot Encoding) 01:18:43 - Visualizing Data (Histograms, Box Plots) 01:21:03 - Quiz 2 Walkthrough Domain 3: Modeling (36%) 01:38:48 - Domain Overview (Framing Business Problems) 01:41:07 - Supervised, Unsupervised, & Reinforcement Learning 01:43:52 - Reframing Business Problems to ML Problems 01:46:51 - Selecting Appropriate Models (Sagemaker Built-in Algos) 01:50:31 - Computer Vision & NLP Algos 01:53:15 - Training Models & Cross-Validation 01:59:50 - Hyperparameter Optimization (Grid vs. Random Search) 02:08:49 - Evaluating Models (Confusion Matrix, Precision, Recall) 02:17:57 - Quiz 3 Walkthrough Domain 4: Machine Learning Implementation & Operations (20%) 02:33:20 - Domain Overview (Productionizing Models) 02:35:25 - High Availability & Loose Coupling 02:36:44 - Monitoring & Logging (CloudWatch & CloudTrail) 02:41:55 - Best Practices for Resilient Design 02:44:02 - AI Services Stack (Rekognition, Textract, etc.) 02:47:13 - Security Principles (Encryption & VPC) 02:49:04 - Deploying Endpoints & A/B Testing 02:55:42 - Quiz 4 Walkthrough 👍 LIKE & SUBSCRIBE for AWS certification content 💬 Comment “ML” if you want practice questions & mock tests #AWS #MachineLearning #AWSML #AWSCertification #DataScience #CloudComputing #MLExam