Mastering Solutions Architecture

Throughout this comprehensive course, we cover a wide range of soft skills and technical skills to help you succeed in this role. Then we go through the solutions architect processes and we finish the course with a case study for a large-scale data and AI project. For Additional learning, I have also included some interview questions to help you prepare for potential interviews for the solutions architect role. Here is the course outline in details:

Soft Skills

• Communication​

  • Excellent verbal and written communication​

  • Team Collaboration​

  • Presentation​

  • Leadership​

  • Stakeholder Management

    • Empathy​

    • Active Listening

      • Pay attention​

      • Show that you are listening ​

      • Listen without judgment ​

      • Ask questions​

      • Summarize or paraphrase

    • Negotiation

• Problem-Solving​

  • Requirement Analysis​

  • Analytical Thinking​

  • Decision Making

• Business and Strategy

  • Business Acumen​

  • Cost Management​

  • Project Management

Technical Skills

• Network and Security​ Protocols

  • Network Metrics

  • Network Security Protocols (SSH, SSL, TLS)

  • Directory Access Protocol (LDAP)

  • Data Transfer Protocols (FTP, POP, IMAP, SMTP, TCP/IP, UDP, HTTP, HTTPS)

  • Security Threats (XSS, SQL Injection, DDoS)

  • Additional Internet Concepts (DNS, URL, URI)

• Software Architecture​ Patterns

  • Three Tier Architecture

  • Multi-Tier Architecture

  • Event-Driven Architecture

  • Microservice Architecture

  • Serverless Architecture

  • Container Architecture

• API Design and Architecture

  • REST (HTTP Methods)​

  • SOAP​

  • GraphQL​

  • Webhooks​

  • GRPC​

  • WebSocket​

  • Socket​

  • SSE (Server-Sent Events)

• System Design

  • Horizontal Scaling vs Vertical Scaling

  • Load Balancing

  • SQL DB vs Non-SQL DB

  • Cap Theorem

  • Database design for distributed systems (Database Sharding, Database Replication, Database Partitioning)

  • Caching

  • CDN

  • Consistent Hashing

  • Disaster Recovery

• Big Data (Streaming Data, MapReduce)

• Machine Learning

Solutions Architect Processes

• Discover (Triage)

• Solution Design

• Proof of Concept

• Deployment

• Project Closure

Case Study

More Learnings

• Behavioural Interview Questions

• Technical Interview Questions