AJ P

Architecture Summary 1. Cloud Strategy 2. Cloud Infrastructure Design 3. Cyber Security, Risk and Compliance 4. Scalability and Performance 5. Cost Optimization 6. Integration and Migration 7. Collaboration and Communication Technical Skills Summary AWS: EC2, VPC, EKS, lambda, S3, EBS, EFS, Route53, ELB, WAF, RDS, DynamoDB, Redshift, EMR, Kinesis, Sagemaker, Glue, EventBridge, SQS, SNS, Cloudwatch, Cloudformation, IAM, KMS, Auto Scaling, 3, CloudTrail, Trusted Advisor, ElasticSearch, Elasticache, AMI, Tags & Key Pairs, Network Management, Security Groups. NACLs QuickSight, Kinesis Streams, Snowball. MariaDB (DBMS) and AWSSCT (AWS Schema Migration Tool). AWSCR (AWS Config Rules), ELK, (ElasticSearch/Logstash/Kibana), Inspector AWS Directory Services (Simple AD, AD Connector and Microsoft AD) Azure: VM’s, AKS, Azure Functions, Blob Storage, Managed Disks, File Storage, Virtual Networks, DNS, Load Balancers, WAF, SQL Databases, Cosmos DB, Synapse Analytics, HDInsight, Streaming Analytics, Machine Learning, Azure Data Factory (ADF), Purview, Databricks, EventGrid, Storage Queue, Service Bus, Monitor, Resource Manager, Active Directory, KeyVault GCP: Compute Engine, Google Kubernetes Engine (GKE), Cloud Functions, Cloud Storage, Persistent Disks, File Store, VPC, Cloud DNS, Cloud Load Balancing, Cloud Armor, Cloud SQL, Firebase, BigQuery, Big Table, Firestore, Spanner, Data Studio, Dataproc, Dataflow, Vertex AI, Data Fusion, Eventarc, Pub/sub, Cloud Monitoring, Deployment Manager, Cloud Identify, Cloud KMS Blockchain: DeFi, AWS Blockchain as a Service, Hyperledger Fabric, Enterprise Blockchain and the Supply Chain, Web3 Application Development, NFT Fundamentals, Metaverse Technology, Generative AI & LLMs: Chat GPT, Transformer Architecture, tokenization & Vectors. Prompt Engineering. Model types & Applications. Machine Learning (Supervised/unsupervised) Data & AI/MLVision: Ability to strategize and create Vision: Data Management & Data Governance, Solution Architecture & Technology, Data & AI Protection, Privacy & Regulation, Human Skills, TOM, Data Science & ML/AI Algorithms & Architecture Patterns – Azure OpenAI & AWS Bedrock. Azure AI Landing Zone strategies & frameworks in Azure (AutomatedML Designer, Computer Vision, NLP) AWS (Comprehend, Polly, Lex, Rekognition), & GCP (MLFlow, TensorFlow, KubeFLow). Cognitive Services, Computer Vision, Natural Language, Knowledge Mining, and Conversational AI. Familiarity with the EU AI Act