Agenkiq Cloud Solutions

22/03/2026

Create Amazon Web Services (AWS) Redshift & Connect It to Power BI + SQL Clients (Step-by-Step)
Want to build a real-world data setup using AWS?
In this video, I walk you through how to:
✅ Create an Amazon Redshift cluster
✅ Configure VPC, Security Groups & Public Access
✅ Connect Redshift to Power BI for dashboards
✅ Connect using SQL clients like DBeaver, Beekeeper Studio & DbVisualizer
✅ Fix common “Connection timeout” errors
Watch the full tutorial:
https://youtu.be/Kh5l4tfqwVo?si=UrdknoDIC_6BHcN8
This is perfect for:
• Data Engineers
• Cloud Engineers
• AWS Beginners
• Anyone building ETL/Data Pipelines
Tools covered:
• Power BI
• DBeaver
• Beekeeper Studio
• DbVisualizer
If you're working on AWS projects or learning data engineering, this will help you connect everything end-to-end.

22/03/2026

Built an Amazon Web Services (AWS) Enterprise Data Pipeline, Automate ETL, Data Validation & Analytics using S3, Lambda, Glue & Redshift.!
From raw CSV data to interactive dashboards — here’s how a modern enterprise data pipeline works
1. Ingest data into Amazon S3 (Data Lake)
2. Trigger AWS Lambda for data validation
3. Transform data using AWS Glue (ETL)
4. Store optimized data in Parquet format
5. Load into Amazon Redshift (Data Warehouse)
6. Visualize insights in Power BI
This is exactly how companies build scalable, automated, and real-time analytics systems.
Watch full step-by-step implementation here:
https://youtu.be/ZVhiw6qh59w?si=w0-JAf0D0jq0Ou0L
GitHub Repo (Complete Project Code):
https://github.com/agenkiqcloud/enterprise-data-pipeline.git
Perfect for:
✔ AWS Beginners
✔ Data Engineering Aspirants
✔ Working Professionals upgrading skills
If you're serious about building real-world AWS projects, this video will help you a lot. Ankit Jha Intaiqent Technology Solutions Pvt Ltd

22/03/2026

Create Amazon Web Services (AWS) Redshift & Connect It to Power BI + SQL Clients (Step-by-Step)
Want to build a real-world data setup using AWS?
In this video, I walk you through how to:
✅ Create an Amazon Redshift cluster
✅ Configure VPC, Security Groups & Public Access
✅ Connect Redshift to Power BI for dashboards
✅ Connect using SQL clients like DBeaver, Beekeeper Studio & DbVisualizer
✅ Fix common “Connection timeout” errors
Watch the full tutorial:
https://youtu.be/Kh5l4tfqwVo?si=wZrJsIUXMvdX1oFu

This is perfect for:
• Data Engineers
• Cloud Engineers
• AWS Beginners
• Anyone building ETL/Data Pipelines
Tools covered:
• Power BI
• DBeaver
• Beekeeper Studio
• DbVisualizer
If you're working on AWS projects or learning data engineering, this will help you connect everything end-to-end.

22/03/2026

Build an Amazon Web Services (AWS) Enterprise Data Pipeline, Automate ETL, Data Validation & Analytics using S3, Lambda, Glue & Redshift.!
From raw CSV data to interactive dashboards — here’s how a modern enterprise data pipeline works
1. Ingest data into Amazon S3 (Data Lake)
2. Trigger AWS Lambda for data validation
3. Transform data using AWS Glue (ETL)
4. Store optimized data in Parquet format
5. Load into Amazon Redshift (Data Warehouse)
6. Visualize insights in Power BI
This is exactly how companies build scalable, automated, and real-time analytics systems.
Watch full step-by-step implementation here:
https://youtu.be/ZVhiw6qh59w?si=w0-JAf0D0jq0Ou0L
GitHub Repo (Complete Project Code):
https://github.com/agenkiqcloud/enterprise-data-pipeline.git
Perfect for:
✔ AWS Beginners
✔ Data Engineering Aspirants
✔ Working Professionals upgrading skills
If you're serious about building real-world AWS projects, this video will help you a lot. Ankit Jha Intaiqent Technology Solutions Pvt Ltd

22/03/2026

Create Amazon Web Services (AWS) Redshift & Connect It to Power BI + SQL Clients (Step-by-Step)
Want to build a real-world data setup using AWS?
In this video, I walk you through how to:
✅ Create an Amazon Redshift cluster
✅ Configure VPC, Security Groups & Public Access
✅ Connect Redshift to Power BI for dashboards
✅ Connect using SQL clients like DBeaver, Beekeeper Studio & DbVisualizer
✅ Fix common “Connection timeout” errors
Watch the full tutorial:
https://youtu.be/Kh5l4tfqwVo?si=wZrJsIUXMvdX1oFu
This is perfect for:
• Data Engineers
• Cloud Engineers
• AWS Beginners
• Anyone building ETL/Data Pipelines
Tools covered:
• Power BI
• DBeaver
• Beekeeper Studio
• DbVisualizer
If you're working on AWS projects or learning data engineering, this will help you connect everything end-to-end.
Ankit Jha Intaiqent Technology Solutions Pvt Ltd

10/03/2026

Build an Enterprise Data Pipeline on AWS -
Automate ETL, Data Validation & Analytics using S3, Lambda, Glue & Redshift. 15th March 2026 - 10 AM to 11:30 AM
Please Join the Session on 15th March 10 AM using this link.
https://calendar.app.google/xVPZHELk2ZQzDzh16

05/03/2026

Join Our AWS Use Case based Training.
Practical and industry-level Projects.

1️⃣ Static Website Hosting Architecture

Services Used

Amazon Web Services

Amazon S3

Amazon CloudFront

Amazon Route 53

Use Case
Host a high-performance static website.

Training Outcome
Students will learn:

Hosting frontend apps (React / Next.js build)

CDN performance optimization

DNS configuration

Cost-effective hosting

Real Example
Company landing pages, portfolio websites.

2️⃣ Serverless Data Processing Pipeline

Services Used

Amazon S3

AWS Lambda

Amazon RDS

Use Case

When a file is uploaded to S3:

Lambda triggers automatically

Validates data

Cleans NULL values

Saves processed data to MySQL

Training Outcome

Students learn:

Event driven architecture

Data validation

Serverless computing

Real ETL pipeline

3️⃣ Scalable Web Application Architecture

Services Used

Amazon EC2

Elastic Load Balancing

Amazon RDS

Amazon VPC

Use Case

Deploy a production-grade web application.

Architecture includes:

Public & private subnets

Load balancer

Auto scaling EC2

RDS database

Training Outcome

Students learn:

Production architecture

High availability

Load balancing

Security groups

4️⃣ Containerized Microservices Deployment

Services Used

Amazon ECS

Amazon ECR

Application Load Balancer

Use Case

Deploy microservices using Docker containers.

Training Outcome

Students learn:

Docker container deployment

Microservices architecture

CI/CD pipelines

Production container orchestration

5️⃣ AI Application Using AWS

Services Used

Amazon Bedrock

AWS Lambda

Amazon API Gateway

Use Case

Build a Generative AI chatbot.

Training Outcome

Students learn:

AI application architecture

LLM integration

API deployment

Serverless AI apps

AWS Core Services

VPC, IAM, EC2

Web App Deployment

Load Balancer

Auto Scaling

Serverless Architecture

Lambda + S3 + RDS

Containers + Docker + ECS

CI/CD + AI application

"AWS + AI Real-World Project Training Program"

6️⃣ CI/CD Pipeline for Application Deployment

Services Used

AWS CodePipeline

AWS CodeBuild

AWS CodeDeploy

GitHub

Use Case

Automate application deployment.

Workflow:

Developer pushes code to GitHub

Pipeline automatically triggers

CodeBuild builds the application

CodeDeploy deploys to EC2 or containers

Training Outcome

Students learn:

DevOps automation

Continuous Integration / Continuous Deployment

Real production pipelines

7️⃣ Secure Private Network Architecture

Services Used

Amazon VPC

NAT Gateway

Internet Gateway

Amazon RDS

Use Case

Create secure network architecture:

Public subnet for load balancer

Private subnet for EC2

Private subnet for database

NAT gateway for secure internet access

Training Outcome

Students learn:

Enterprise cloud networking

Security best practices

Private architecture design

8️⃣ Data Lake Architecture

Services Used

Amazon S3

AWS Glue

Amazon Athena

Amazon QuickSight

Use Case

Build a data analytics pipeline.

Flow:

Raw data → S3 → Glue ETL → Athena Query → Dashboard

Training Outcome

Students learn:

Big data architecture

Data engineering pipelines

Serverless analytics

9️⃣ Log Monitoring and Alerting System

Services Used

Amazon CloudWatch

Amazon SNS

AWS Lambda

Use Case

Monitor application logs and system metrics.

Example:

CPU > 80%

Server down

Application errors

Send alerts via email or SMS.

Training Outcome

Students learn:

Monitoring architecture

DevOps observability

Automated alerts

🔟 Infrastructure as Code (IaC) Deployment

Services Used

Terraform

Amazon Web Services

Use Case

Automate infrastructure creation.

Example:

Run one Terraform command to create:

VPC

EC2

Load Balancer

RDS

Training Outcome

Students learn:

Infrastructure automation

DevOps workflows

Production infrastructure management

Complete Use-Case Based AWS Training (10 Projects)

1️⃣ Static Website Hosting
2️⃣ Web Application with Load Balancer
3️⃣ Serverless Data Pipeline
4️⃣ Containerized Microservices
5️⃣ AI Application with Bedrock
6️⃣ CI/CD DevOps Pipeline
7️⃣ Secure VPC Architecture
8️⃣ Data Lake Analytics
9️⃣ Monitoring & Alerting System
🔟 Terraform Infrastructure Automation
Why Join This Program?
• Real Project Implementation
• Industry Architecture Design
• Job-Oriented Training
• Interview Preparation
• Certificate of Completion

📅 Live Interactive Sessions
📍 Online (Google Meet / Zoom)
📞 Limited Seats

Please contact for Training.
070285 28830

17/02/2026

Launch Your AI & Cloud Career — Learn AWS + Agentic AI!
Ready to build the skills that top tech companies are hiring for? 🚀
Join Agenkiq Cloud Solutions and master Cloud Computing, Generative AI & Agentic AI — skills that will put you ahead in the fastest-growing tech fields.
✔️ Live Hands-On Training
✔️ Real Projects & Production-Ready Skills
✔️ Online Classes (Weekdays & Weekends)
✔️ Certification You Can Showcase
Whether you’re a student, fresher, or aspiring AI & Cloud professional — this is your path to high-impact jobs in AI, automation, and cloud engineering.

💡 Courses You Can Get Started With:
➡️ AWS with Agentic AI – Build intelligent autonomous systems using cloud + AI.
➡️ AWS Cloud Mastery – Learn AWS services from fundamentals to real-world projects.
➡️ Interview Prep in Cloud & AI – Ace technical interviews with confidence.

🔗 Enroll Now & Get a Demo Class:
👉 https://agenkiq.cloud/

Expert training in AWS, Azure, GCP, Gen AI, Agentic AI, LangChain, and cutting-edge AI technologies

17/02/2026

Top 20 AWS Interview Questions that every beginner MUST know to land their first AWS cloud role.
Here's what interviewers are asking:
Why These 20 Questions Matter: ✅ Asked in 90% of entry-level AWS interviews ✅ Cover all core services tested in interviews ✅ Build foundation for AWS certifications ✅ Help you speak confidently about cloud
💬 BONUS TIP: Interviewers don't just want definitions - they want to know: 👉 WHEN to use each service 👉 WHY one service over another 👉 HOW services work together
💡 Foundation Level:
1️⃣ What is AWS and its key benefits?
2️⃣ Difference between Regions & Availability Zones
3️⃣ What is EC2 and its instance types?
4️⃣ Stop vs Terminate - Know the difference!
5️⃣ S3 and its storage classes explained
🔥 Storage & Compute:
6️⃣ S3 vs EBS - When to use what?
7️⃣ What is an AMI?
8️⃣ EBS vs EFS - The ultimate comparison
9️⃣ Lambda and its real-world use cases
🔟 CloudFront CDN - How it works
🔐 Security & Networking:
1️⃣1️⃣ Security Groups vs Network ACLs
1️⃣2️⃣ What is IAM and why it's critical?
1️⃣3️⃣ VPC fundamentals
1️⃣4️⃣ Public vs Private Subnets
1️⃣5️⃣ Elastic Load Balancer types
⚡ Scaling & Monitoring:
1️⃣6️⃣ Vertical vs Horizontal Scaling
1️⃣7️⃣ Auto Scaling - How it actually works
1️⃣8️⃣ CloudWatch monitoring essentials
1️⃣9️⃣ RDS and supported databases
2️⃣0️⃣ AWS Free Tier - Your learning playground!
Contact us if interested in AWS Course.
🔗 Enroll Now & Get a Demo Class:
👉 https://agenkiq.cloud/