Video Library
Every AI and cloud engineering tutorial from TechART Learning Hub — in one place. Browse each card for a summary, key highlights, and a direct link to the full article.
All Videos — 13 tutorials
Build a Modern Data Lakehouse on GCP: Querying BigLake & BigQuery Tables from Google Cloud Storage
Published Mar 25, 2026Build a Modern Data Lakehouse on GCP: Querying BigLake & BigQuery Tables from Google Cloud Storage
A hands-on walkthrough of building a Modern Data Lakehouse on Google Cloud Platform, demonstrating how to query BigLake and BigQuery tables directly from Google Cloud Storage.
- Covers the architecture of a modern data lakehouse pattern on GCP.
- Demonstrates querying BigLake and BigQuery tables over data stored in Cloud Storage.
- Practical guide for data engineers building cloud-native analytics pipelines.
# 12Eliminate Service Account Keys Using Impersonation (GCP Security Best Practice)
A practical walkthrough of Google Cloud service account impersonation, showing how to eliminate long-lived keys and use temporary IAM-based access with the gcloud CLI.
- Explains what service account impersonation is and why it reduces credential risk.
- Shows how to configure impersonation permissions for secure, temporary access.
# 11Google Private Service Connect Explained | Secure Private Access in GCP
A step-by-step demo of Google Private Service Connect (PSC) — enabling secure, private connectivity within GCP without exposing services to the public internet.
- Covers PSC architecture, service producer/consumer model, and secure API access.
- Step-by-step demo of PSC configuration in a real GCP environment.
# 10AWS to GCP VM Migration using Secure VPN Tunnel
A practical multi-cloud migration walkthrough showing secure VM migration from AWS to Google Cloud through a site-to-site VPN tunnel.
- Covers site-to-site VPN setup between AWS and Google Cloud VPCs.
- Focuses on private connectivity and secure migration networking.
# 9AWS to Google Cloud VM Migration using "Migrate to Virtual Machines"
End-to-end walkthrough of moving an AWS EC2 workload to Google Cloud VM using Migrate to Virtual Machines.
- Shows migration planning, replication, and final cutover workflow.
- Covers networking and migration prerequisites for cross-cloud moves.
# 8AI Agents: From Reasoning to Real-World Execution
An overview of how AI agents move from simple reasoning loops into useful, real-world execution patterns.
- Explains the bridge between model reasoning and task execution.
- Useful for understanding modern agentic application design.
# 7From Text to Tokens: Understanding Tokenizers in AI
A focused explainer on tokenizers and why they matter for prompts, context windows, and downstream model behavior.
- Clarifies what happens before text reaches a model.
- Helps connect prompt design to token budgets and cost.
# 6Hugging Face Pipeline API Explained | Run NLP, Vision & TTS in Minutes
A practical demonstration of the Hugging Face Pipeline API for getting inference workflows running quickly.
- Shows fast experimentation with multimodal tasks.
- Useful for prototyping without deep boilerplate.
# 5Hugging Face Explained: Gateway to Powerful AI Models | Libraries & APIs Overview
A broader look at the Hugging Face ecosystem, including models, libraries, and API-driven development paths.
- Introduces the ecosystem around model access and experimentation.
- Gives context before using pipelines, spaces, or hosted inference.
# 4OpenAI for Retail: Automating Customer Journeys with Tools & Prompts
A use-case-driven video on applying OpenAI workflows to retail journeys with prompts and automation ideas.
- Connects model capabilities to a business workflow.
- Shows where tooling and prompting meet user journeys.
# 3Real-Time LLM Streaming with GPT, Gemini & LLaMA via Gradio
A walkthrough of streaming LLM responses in real time with a Gradio-powered interface across multiple model families.
- Focuses on responsive user experiences for AI apps.
- Touches GPT, Gemini, and LLaMA side by side.
# 2No-Code AI Interfaces: Autogenerate Powerful UIs with Gradio
A practical guide to quickly generating AI interfaces with Gradio and minimizing manual front-end setup.
- Shows a fast path from model idea to usable demo UI.
- Useful for prototypes, internal tools, and experiments.
# 1Integrating Google Gemini & OpenAI with Python for Seamless AI Workflows
A Python-focused walkthrough for working with both Gemini and OpenAI services inside one workflow.
- Demonstrates multi-provider AI integration patterns.
- Useful for comparing capabilities inside one code path.