Course curriculum

  • 1

    Welcome!

    • About this course: AWS Certified Solutions Architect Certification Program
    • Key pointers for success in this course
    • Curriculum Description
    • Instructor Bio: Charlie Crawford
    • Instructor Bio: Mark Kerzner
  • 2

    Program Announcements and notifications

    • Announcement 001 - Instructions for storing labs, etc.
    • Announcement 002 - Slack Channel Notification
  • 3

    Calendar, Discussion Forum and More

    • Course Calendar
    • Schedule: Live Instruction and Office Hours (Version 2.0 as of Feb 25, 2019)
    • Slack Channel / Discussion Forum (All announcements, Q&A with instructors, etc.)
    • If (and when) you need help...
  • 4

    Labs

    • Labs - Overview
    • INSTRUCTIONS: Virtual labs (For Colaboratory)
    • INSTRUCTIONS: Lab Uploads to TCS servers
    • Week 1: Labs
    • Week 2: Labs
  • 5

    Recordings (of Live Instruction and Office Hours)

    • RECORDING: Office Hours - Week 1, Session 1
    • RECORDING: Live Instruction Week 1, Session 1
    • RECORDING: Office Hours - Week 1, Session 2
  • 6

    Week 1

    • Week 1 - Focus and Objectives
    • READING: Intro to Machine Learning for Managers (Read Pages 1-12)
    • READING: TCS - Machine First Approach (Read all)
    • READING: TCS Global Trend Study - AI Overview (Skim all)
    • READING: Jeff Dean Rice Talk - State of Artificial Intelligence (Read entire document) (Dated but useful)
    • Lesson 1: Introduction to Machine Learning
    • Lesson 1: Lab 1
    • Lesson 2-1: Pandas
    • Lesson 2-1: Exploring Pandas
    • Lesson 2-1: Lab-2a
    • Lesson 2-2: Lab-2b
    • Lesson 2-2: Lab 2c
    • Lesson 2-3: Visualization (only 1 part for this; "Part 2" is deleted now)
    • Lesson 2-4: Visualization-Stats
    • Lesson 2-4: Lab-2d
    • Lesson 3-1: Sklearn
    • Lesson 3-2: Lab-3b
    • Lesson 3-2: Linear Regression
    • Lesson 3-3: Multivariate Linear Regression
    • Lesson 3-4: Logistic Regression (with fixed audio)
  • 7

    Week 2

    • Week 2 - Focus and Objectives
    • READING: ISLR (Read Chapter 8 - Trees)
    • READING: ISLR (Read Chapter 9 - Support Vector Machine)
    • READING: ISLR (Read Chapter 10 - Unsupervised)
    • Lesson 1a: Classification (Support Vector Machines)
    • Lesson 1b: Classification (Naive Bayes)
    • Lesson 2a: Decision Trees
    • Lesson 2b: Random Forests
    • Lesson 3a: Clustering
    • Lesson 3b: Principal Component Analysis
  • 8

    Week 3

    • Week 3 - Focus and Objectives
  • 9

    Week 4

    • Week 4 - Focus and Objectives
  • 10

    Week 5

    • Week 5 - Focus and Objectives
  • 11

    Week 6

    • Week 6 - Focus and Objectives
  • 12

    Final Examination

    • FINAL EXAM - BC
  • 13

    AWS Immersion Primer

    • AWS Immersion Part 1 - Overview
    • AWS Immersion Part 2 - EC2 Demo
    • AWS Immersion Part 2 - Foundation Services
    • AWS Immersion Part 2 - Foundation Services Continued
    • AWS Immersion Part 3 - Security Overview
    • AWS Immersion Part 4 - S3 Demo
    • AWS Immersion Part 4 - Security Best Practices
    • AWS Immersion Part 4 - Security Best Practices Continued
    • AWS Immersion Part 5 - Databases on AWS
    • AWS Immersion Part 6 - Messaging Services
    • AWS Immersion Part 7 - High Availability
    • AWS Immersion Part 8 - Serverless Architectures
    • AWS Immersion Part 9 - Migration Strategies Continued
    • AWS Immersion Part 9 - Migration Strategies
  • 14

    AWS Deep Dive

    • AWS DEEP DIVE - 02 IDENTITY AND ACCESS MANAGEMENT
    • AWS DEEP DIVE - 02 IDENTITY AND ACCESS MANAGEMENT
    • AWS DEEP DIVE - 04 SET UP AWS CREDENTIALS
    • AWS DEEP DIVE - 05 USING S3 FOR STORAGE
    • AWS DEEP DIVE - 09 AMAZON MACHINE IMAGE
    • AWS DEEP DIVE - 10 ELASTIC BLOCK STORAGE
    • AWS DEEP DIVE - 11 ELASTIC BLOCK STORAGE DETAIL
    • AWS DEEP DIVE - 12 INSTANCE STORAGE
    • AWS DEEP DIVE - 13 INSTANCE STORAGE 2
    • AWS DEEP DIVE - 17 AUTOSCALING
    • AWS DEEP DIVE - 18 CUSTOM AMIS
    • AWS DEEP DIVE - 19 ELASTIC LOAD BALANCING
    • AWS DEEP DIVE - 20 ELASTIC LOAD BALANCING - DEMO
    • AWS DEEP DIVE - 21 AUTOSCALING LAUNCH CONFIGURATION
    • AWS DEEP DIVE - 24 SUMMARY