The Job Coaching Plan: Azure Generative AI AI-102 Associate Engineer

# The Job Coaching Plan: Azure Generative AI AI-102 Associate Engineer with POCs for Profile Upgrade in the Global IT Job Market

## Introduction

As of May 2024, the IT job market mandates every IT professional to learn and implement AI services in their roles and organizations. This requirement spans from top executives (CEOs, CIOs, CTOs) to fresh graduates. This coaching plan aims to rebuild cloud professionals' profiles by exposing them to Azure Generative AI services.

## Pre-requisites:

A profile evaluation call is mandatory to create a roadmap and correlate your skills for this coaching. If you haven't already, book a paid counseling call from LinkedIn.

---

## Month 1 Plan/Schedule:

Objective: To build and present Azure POCs for profile enhancement.

### Week 1:

Practice:

- Azure VMs creation with the Zero to Hero course.

- Service building POCs of your choice.

- Web apps setup with .NET or Java for deployment.

- ARM template labs from the Zero to Hero course.

Demo POCs:

- POC 1: NGINX server setup (manual and ARM template).

- POC 2: Web apps setup (manual and ARM template).

Hint: Practice each topic 3-4 times before presenting with a PPT.

### Week 2:

Practice:

- Azure Functions from the course.

- Blob creation with Storage services.

Demo POCs:

- POC 3: Azure Storage Services (Blob, Table, File, Queue, Disk Storage) with ARM templates.

- POC 4: Ubuntu VM setup and WordPress installation.

Optional POC:

- WordPress Blog Setup (manual and Terraform).

### Week 3:

Practice:

- Azure VM creation (Portal, CLI, PowerShell).

- Terraform tutorial for YAML scripts.

Demo POCs:

- POC 5: Azure Resource Creation (Storage, VNet, VM, Web App, SQL Server) with ARM and TF templates.

### Week 4:

Practice:

- Azure Container Registry and Docker Deployment.

- AKS setup from the course.

Demo POCs:

- POC 6: Azure Container Registry and Docker Deployment with IAC (ARM/TF/Python).

- POC 7: AKS setup creation with IAC (ARM/TF/Python).

- POC 8: Automated setup with 3 IAC scripts.

---

## Month 2 Plan/Schedule:

Objective: To develop POCs on Azure Generative AI services aligned with the AZ AI-102 AI Engineer Associate requirements.

Activities:

- Refer to the detailed document for the Month 2 plan.

- Walkthrough AI-102 digital course for 100 use cases and POCs.

- Gain solid domain knowledge through practice and solutions.

---

## Month 3 Plan/Schedule:

Objective: Job application preparation and certification.

Activities:

- Identify relevant JDs from job portals.

- Prepare for and obtain the AZ AI-102 certification.

- Identify and address skill gaps.

- Update the profile and prepare for targeted roles.

- Conduct mock interviews for confidence building.

---

## Detailed Month-by-Month Coaching Plan:

### Month 1: Azure Basics and IAC Expertise

#### Week 1:

- Objective: Build foundational skills in Azure and Infrastructure as Code (IAC).

- Practice:

- Azure VMs creation with the Zero to Hero course.

- Select and work on any service-building POC.

- Build web app environments (.NET or Java) for deployment.

- Work with ARM template labs from the Zero to Hero course.

- Rebuild the setup to create an NGINX server.

- POCs:

- POC 1: Create an NGINX server setup both manually and with ARM templates.

- POC 2: Set up web apps manually and with ARM templates.

Hint: Practice all topics 3-4 times before presenting with a PPT.

#### Week 2:

- Objective: Develop skills in Azure Functions and Storage.

- Practice:

- Azure Functions from the course.

- Blob creation with Storage services.

- POCs:

- POC 3: Azure Storage Services (Blob, Table, File, Queue, Disk Storage) with ARM templates.

- POC 4: Ubuntu VM setup and WordPress installation.

Optional POC:

- WordPress Blog Setup using both manual and Terraform methods.

#### Week 3:

- Objective: Advanced Azure VM creation and Terraform practices.

- Practice:

- Azure VM creation (Portal, CLI, PowerShell).

- Terraform tutorials for YAML scripts.

- POCs:

- POC 5: Azure Resource Creation (Storage, VNet, VM, Web App, SQL Server) with ARM and TF templates.

Hint: Once confident, convert the ARM template into a Python script using ChatGPT and run it in PowerShell or CLI to verify the setup.

#### Week 4:

- Objective: Mastery of Azure Container Registry, Docker, and AKS.

- Practice:

- Azure Container Registry and Docker Deployment.

- AKS setup from the course.

- POCs:

- POC 6: Azure Container Registry and Docker Deployment with IAC (ARM/TF/Python).

- POC 7: AKS setup creation with IAC (ARM/TF/Python).

- POC 8: Automated setup with 3 IAC scripts.

Advice: Utilize your IAC expertise in ARM/TF/Python to demo these setups.

---

### Month 2: Azure Generative AI Services

Objective: Develop POCs on Azure Generative AI services in line with the AZ AI-102 AI Engineer Associate requirements.

#### Activities:

- Refer to the detailed document for the Month 2 plan.

- Walkthrough the AI-102 digital course covering 100 use cases and POCs.

- Gain solid domain knowledge through practice and solutions.

#### Weekly Breakdown:

#### Week 1: Azure Cognitive Services

- Requirement: Build a mobile app to extract receipt information using Azure Form Recognizer.

- Solution: Follow detailed steps for setting up and using Azure Form Recognizer.

#### Week 2: Azure Cognitive Search

- Requirement: Ingest diverse data sources and support incremental processing.

- Solution: Follow detailed steps for setting up Azure Cognitive Search with multiple data sources.

#### Week 3: Conversational AI Solutions

- Requirement: Implement a Virtual Customer Support Agent using Conversational AI and NLP.

- Solution: Follow detailed steps for setting up and integrating a chatbot with backend systems.

#### Week 4: Azure Natural Language Processing (NLP)

- Requirement: Sentiment Analysis of Customer Reviews.

- Solution: Use Azure Cognitive Services Text Analytics API for sentiment analysis and integrate results into a reporting system.

Sample POCs and detailed steps provided for each service.

---

### Month 3: Job Preparation and Certification

Objective: Prepare for job applications and obtain the AZ AI-102 certification.

#### Activities:

- Identify relevant job descriptions (JDs) from various job portals.

- Prepare for the AZ AI-102 certification exam.

- Identify and address any skill gaps.

- Update your profile and prepare for targeted roles.

- Conduct mock interviews to build confidence.

---

## Additional Information

For full course details and personalized coaching:

- Contact Shanthi Kumar V, IT Job Coach.

- [LinkedIn - Shanthi Kumar V](https://www.dhirubhai.net/in/vskumaritpractices)

- Book a prior counseling call for profile evaluation and customized coaching plans.

Pre-requisites:

To effectively participate in these AZ Generative AI POCs, having exposure to Azure basic services and screen operations is mandatory. Participants should ideally have completed a 30-day Azure POCs crash course or combined it with a 90-day Azure job coaching program to gain practical experience.

Visit the below digital course:

Master Azure AI-102 Exam with 100 use cases by each AI service

---

This structured plan will help you stay on track with the necessary skills and POCs required to excel in the global IT job market, particularly in the realm of Azure Generative AI services. Incorporating Azure Generative AI services POCs into job coaching prepares individuals to transition into AZ AI roles, making it essential for any cloud professional to align their skill sets with the demand from IT companies.

See a detailed discussion of this Program.

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#LinkedIn

A growth feedback interview with Ram Kantheti-NONIT to IT Journey with coaching

1. To prepare for a career as an Azure AI Engineer following your AI-102 Certification, a firm grasp of the domain knowledge covered in the exam is essential. To this end, I present two viable options for your consideration:
2. Option 1: Job Coaching
3. Should you desire to elevate your skills expediently and effectively for the competitive job market, opting for job coaching is a valuable investment of your time and resources, promising a substantial return on investment (ROI).
4. Option 2: Digital Course
5. If you wish to pursue an alternative route, you can engage with a comprehensive digital course to gain practical, real-world knowledge and insights, aligning with the topics essential for your professional growth.
6. https://kqegdo.courses.store/500821?utm_source%3Dother%26utm_medium%3Dtutor-course-referral%26utm_campaign%3Dcourse-overview-webap

If you are an ambitious IT professional looking to expand your skills and knowledge proactively, consider exploring the following additional Points of Concern (POCs) during your first month to delve into Azure services comprehensively:

Below is a structured guide outlining the 15 POCs:

## Project Outline: Architecting a Robust and Resilient Two-Tier Architecture in Microsoft Azure

### 1. Introduction

- Overview of the need for a robust and resilient architecture in Microsoft Azure

- Importance of leveraging multiple Azure Availability Zones (AZs) for high availability and fault tolerance

### 2. High Availability

- Utilizing Azure Virtual Machines (VMs) and Azure Database for compute and database resources

- Distributing resources across AZs to eliminate single points of failure

- Ensuring continuous availability and fault tolerance

### 3. Scalability

- Leveraging Azure Virtual Machine Scale Sets to dynamically adjust VM instances based on demand

- Implementing Azure Load Balancer to distribute incoming traffic evenly across AZs

- Ensuring optimal performance and scaling capabilities

### 4. Data Redundancy and Backup

- Setting up data replication and backup mechanisms using Azure Blob Storage and Azure Database

- Implementing geo-replication for redundancy and disaster recovery capabilities

- Ensuring data durability and integrity across different AZs

### 5. Monitoring and Alerting

- Leveraging Azure Monitor for system performance monitoring and proactive issue response

- Implementing Azure Security Center for security health tracking and compliance enforcement

- Ensuring a secure, monitored, and compliant environment across different AZs

### 6. Disaster Recovery Planning

- Implementing a comprehensive disaster recovery plan using Azure Site Recovery

- Addressing potential disruptions by replicating workloads to a secondary Azure region

- Ensuring business continuity in the event of a disaster impacting a specific Availability Zone

### 7. Geo-Redundant Storage

- Utilizing Azure Storage for geo-redundancy and cross-region data replication

- Providing enhanced durability and high availability in case of region-specific outages

### 8. Caching and Content Delivery

- Implementing Azure CDN to cache and deliver content from different edge locations

- Improving the performance and availability of web applications across multiple regions and AZs

### 9. Identity and Access Management

- Utilizing Azure Active Directory for centralized identity management

- Implementing role-based access control (RBAC) to enforce least privilege access across resources

### 10. Compliance and Regulatory Adherence

- Enforcing compliance requirements and regulatory adherence using Azure Policy

- Managing alignment with industry standards and organizational policies across different AZs

### 11. Hybrid Connectivity

- Setting up Azure ExpressRoute for secure and reliable communication between on-premises resources and Azure

- Enabling hybrid connectivity for resources deployed across different Azure Availability Zones

### 12. Immutable Infrastructure

- Implementing Azure Resource Manager templates and Azure Bicep for infrastructure as code

- Enforcing immutable infrastructure practices for consistent and reproducible deployments

### 13. Real-time Data Processing

- Utilizing Azure Event Hubs and Azure Stream Analytics for real-time processing and analysis of streaming data

- Enabling real-time insights and decision-making across multiple Azure Availability Zones

### 14. Serverless Computing

- Leveraging Azure Functions for event-driven, scalable, and cost-efficient processing of application logic

- Implementing serverless compute across different Availability Zones without managing infrastructure

### 15. Multi-region Load Balancing

- Implementing Azure Traffic Manager for efficient global load balancing and failover capabilities

- Distributing user traffic across different Azure regions and AZs based on latency

### Conclusion

- Summarizing the importance of the outlined POCs for architecting a robust and resilient two-tier architecture in Microsoft Azure

- Emphasizing the benefits of leveraging the capabilities of different Azure services across multiple Availability Zones

This framework offers a well-organized survey of the Points of Concern (POCs) and their importance in crafting a strong and resilient two-tier architecture in Microsoft Azure. Engaging with these POCs can significantly enhance your experience and expertise as an Azure AI Architect.