Code With Praveen

Learning Path

Generative AI Engineer Path

Build production generative AI systems from prompt engineering through secure enterprise integrations.

Skills You'll Master

  • Prompt Engineering
  • OpenAI APIs
  • RAG & Reliability
  • AI Security

Interactive Roadmap

Explore Courses Step by Step

Click any step below or use the navigation arrows. Use keyboard ← → to move between courses.

Prompt Engineering for IT Administrators

Step 1 · Prompt Foundations

Prompt Engineering for IT Administrators

PluralsightCourseBeginner19m

Learn practical prompt engineering techniques for enterprise AI tools and workflows.

Practical prompt engineering techniques for IT administrators working with enterprise AI tools.

aiprompt-engineering
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Hands-on Practice

Hands-on Labs

Apply what you learn with curated labs that reinforce the skills in this path. Complete them in any order that fits your schedule.

Managing an Azure ML Workspace using Azure Portal
UdemyLabIntermediate
Managing an Azure ML Workspace using Azure Portal
Hands-on lab: navigate the Azure Machine Learning workspace, create compute resources, and manage datasets and experiments via the Azure Portal.
Open on Udemy
Managing Resources using Azure CLI in Azure ML
UdemyLabIntermediate
Managing Resources using Azure CLI in Azure ML
Hands-on lab: use the Azure CLI and ML extension to manage Azure Machine Learning workspaces, compute clusters, and data assets.
Open on Udemy
Managing Datastores and Data Assets in Azure ML Workspace
UdemyLabIntermediate
Managing Datastores and Data Assets in Azure ML Workspace
Hands-on lab: register datastores, create and version data assets, and connect Azure ML to storage services for model training.
Open on Udemy
Training a Machine Learning Model using Automated ML
UdemyLabIntermediate
Training a Machine Learning Model using Automated ML
Hands-on lab: use Azure Automated ML to train and evaluate multiple model types, then deploy the best-performing model.
Open on Udemy
Predicting Weather Conditions using a Regression Model in Azure ML Designer
UdemyLabIntermediate
Predicting Weather Conditions using a Regression Model in Azure ML Designer
Hands-on lab: build a no-code regression pipeline in Azure ML Designer to predict weather conditions using drag-and-drop components.
Open on Udemy
Building a No-Code Classification Model with Azure Automated ML
UdemyLabIntermediate
Building a No-Code Classification Model with Azure Automated ML
Hands-on lab: train a classification model without writing code using Azure Automated ML, evaluate results, and review model explanations.
Open on Udemy
Identifying Weather Patterns using Azure ML and Clustering
UdemyLabIntermediate
Identifying Weather Patterns using Azure ML and Clustering
Hands-on lab: apply clustering algorithms in Azure Machine Learning to identify and visualise patterns in weather data.
Open on Udemy
Connect OpenAI Model to External Tools using Function Calling
UdemyLabIntermediate
Connect OpenAI Model to External Tools using Function Calling
Hands-on lab: implement OpenAI function calling to let a language model invoke external APIs and return structured, tool-augmented responses.
Open on Udemy
Managing Cross-Cutting Concerns in OpenAI Programming
UdemyLabIntermediate
Managing Cross-Cutting Concerns in OpenAI Programming
Hands-on lab: implement retry logic, error handling, logging, and rate-limit management for production-ready OpenAI API integrations.
Open on Udemy

Get the Complete Roadmap

Download the free Cloud Engineer Career Roadmap 2026 with detailed timelines for every skill in this path.