Lesson 1: Introduction to AWS AI
-
Overview of AWS AI Services - Machine Learning with AWS, Key Benefits of AWS AI, Use Cases
-
Core Concepts - Artificial Intelligence vs Machine Learning vs Deep Learning, Data Preparation Basics, AI Workflow in AWS
Lesson 2: Data Preparation for AI
-
Data Collection and Storage - Using Amazon S3 for Data Storage, AWS Glue for Data Integration, Best Practices for Structured and Unstructured Data
-
Data Cleaning and Transformation - Data Cleaning Tools: AWS DataBrew, Handling Missing or Corrupt Data
-
Data Annotation - Amazon SageMaker Ground Truth, Creating Labeling Jobs
Lesson 3: AI-Powered Personalization
-
Introduction to Amazon SageMaker - Features and Benefits, SageMaker Studio Overview
-
Machine Learning Models - Supervised Learnin, Unsupervised Learning, Reinforcement Learning
-
Model Development Lifecycle - Training, Validation, and Testing, Deploying Models with SageMaker
Lesson 1: AWS Pre-trained AI Services
-
Natural Language Processing (NLP) - Amazon Comprehend, Use Cases: Sentiment Analysis, Topic Modeling
-
Computer Vision - Amazon Rekognition, Use Cases: Image and Video Analysis
-
Text and Speech Services - Amazon Polly for Text-to-Speech, Amazon Transcribe for Speech-to-Text
Lesson 2: Building Conversational AI
-
Introduction to Amazon Lex - Key Features, Creating Chatbots
-
Integration with Other AWS Services - Integrating with Lambda Functions, Deploying Chatbots via Amazon Connect,
Lesson 3: AI-Powered Personalization
-
Amazon Personalize Overview - Features and Benefits, Recommendation Systems
-
Workflow of Amazon Personalize - Data Import and Preparation, Model Training and Evaluation
Section 1: Custom Machine Learning Models
-
Training Custom Models - Using Custom Datasets, Hyperparameter Optimization
-
Advanced Deployment Strategies - Model Hosting and Monitoring with SageMaker, A/B Testing and Canary Deployments
Section 2: AI Ethics and Governance
-
Responsible AI Practices - Bias Detection and Mitigation, Explainability in AI Models
-
Security and Compliance - Data Encryption with AWS Key Management Service (KMS), GDPR and HIPAA Compliance
Section 3: Scaling and Optimizing AI Workloads
-
Scaling AI Models - Using Amazon EC2 Spot Instances, Elastic Load Balancing
-
Cost Optimization - AWS Cost Explorer, Reserved Instances for ML Training
- CategoryCloud Computing
- LevelIntermediate
- Duration3 Months
- Available SeatsUnlimited
Course Key Highlights
Real-Time Experts
Learn from industry experts with real-time experience.
Placement Support
Get assistance in securing your dream job with our dedicated placement support.
Live Project
Work on live projects to gain hands-on experience.
Certified Professional
Become a certified professional with industry-recognized certification.
Affordable Fees
Get the best quality education at affordable fees.
Flexibility To Assist
Flexible learning options to assist you in every way possible.
No Cost EMI
Pay your course fees in easy installments with no cost EMI.
Free Soft Skills
Develop essential soft skills along with technical knowledge.
Popular Questions to Ask Before Choosing a Course
SOTT courses include comprehensive video lessons, hands-on projects, downloadable resources, and live mentorship sessions. Our curriculum is designed to provide you with all the tools you need to succeed in your chosen field.
No, SOTT courses are designed to be flexible. You can start learning whenever it suits you best, and you have lifetime access to the course materials to learn at your own pace.
To take a SOTT course, simply enroll in the course of your choice, and you will have access to all the lessons, resources, and mentorship opportunities available. You can learn from any device, at any time.
Yes, upon completing a SOTT course, you will receive a certificate of completion, which you can share with your network and use to showcase your newly acquired skills to potential employers.
If you need help, you can reach out to our support team or connect with your course mentor for guidance. We are here to ensure you have the best learning experience possible.
