Non-Programming Course

★★★★★

(2,095 ratings) 50,000+ Student

CLOUD FINOPS WITH AI

The Cloud FinOps with AI course is designed for professionals who want to understand and manage cloud costs while using AI to improve financial decision-making. The training covers cloud cost management, budgeting, cost allocation, optimization, usage monitoring, FinOps practices, and AI-based insights across cloud environments. Through practical projects, assignments, and job-oriented scenarios, learners gain skills to identify unnecessary cloud spending and improve cost efficiency without affecting business performance. This course is ideal for cloud professionals, DevOps engineers, finance professionals, FinOps practitioners, IT managers, business analysts, and beginners looking to build skills in cloud financial management and AI.

Radical Technologies

50,000+ English 80 hours Weekdays / Weekends Classroom / Online / Corporate

Online / Classroom

IT Training Programme

Duration 80 hours

Batch Type Weekdays / Weekends

Mode of Training Classroom / Online / Corporate

Locations Pune, Bangalore, Kochi

Language English

Certification Globally Recognized

Call Now

100% placement assistance

What you'll learn

Understand core concepts and architecture from the ground up

Get hands-on with the tools used by working professionals

Build real-world projects you can add to your portfolio

Learn industry best practices and coding standards

Practice with real datasets and real-world scenarios

Prepare for certification and technical interviews

Work on collaborative, team-based exercises

Apply performance tuning and optimization techniques

Understand how the technology fits into a larger ecosystem

Complete assignments reviewed by mentors

Programme Overview

30 sections covering the complete curriculum — a single, progressive learning arc.

80 hours

Training Duration

Core Modules

564

Total Lessons

4.4★

Average Rating

50K+

Students Trained

Foundations & Core Concepts

Get hands-on with the fundamentals and architecture — the building blocks for everything that follows.

Fundamentals Architecture Setup

Hands-On Practical Training

Work through real exercises and assignments designed to mirror what you will do on the job.

Practicals Assignments Labs

Real-World Projects

Apply what you have learned to end-to-end projects that go straight into your portfolio.

Projects Portfolio Case Studies

Advanced Techniques

Go beyond the basics with advanced concepts, integrations and production-grade practices.

Advanced Integration Best Practices

Ecosystem Integration

Understand how this technology connects with the broader tools and platforms used in the industry.

Ecosystem Tools Platforms

Performance & Interview Prep

Master optimization techniques and prepare for the technical interview questions employers actually ask.

Optimization Interview Prep Certification

Who is this programme for?

Whether you're already writing code, working with data, or supporting applications today — this programme is built to take you into a Non-Programming Course role.

Software Developers

Engineers who want to add this skill set to their toolkit

Analysts & Consultants

Professionals moving into a more technical, hands-on role

IT Professionals

System admins and support engineers upskilling into a new domain

Fresh Graduates

CS/IT graduates aiming for a job-ready technical role

Course Curriculum

30 sections • 564 lessons • 80 hours

Jump to Section

Total Duration

80 hours

100% Practical · Unlimited Doubt Sessions

01 1. Course Overview

FinOps with AI is a job-oriented program covering cloud cost management, financial governance, cloud optimization, budgeting, forecasting, FinOps automation, and the use of AI/Generative AI for cloud cost analysis and optimization.

Complete Learning Path

Cloud Fundamentals

↓

FinOps Fundamentals

↓

Cloud Billing & Cost Management

↓

Cost Allocation & Tagging

↓

Budgets & Forecasting

↓

Cost Optimization

↓

AWS + Azure + GCP FinOps

↓

FinOps Automation

↓

Cloud Unit Economics

↓

FinOps + DevOps / Engineering

↓

AI for FinOps

↓

GenAI Cost Analysis & Recommendations

↓

AI-Based Anomaly Detection

↓

Automated Cloud Optimization

↓

Enterprise FinOps Capstone

02 2. Prerequisites

• Basic Cloud Computing knowledge

• Understanding of AWS, Azure or GCP is helpful

• Basic Linux knowledge

• Basic networking concepts

• Basic Excel knowledge

• Basic understanding of databases is helpful

• Basic Python knowledge is beneficial

• No prior FinOps experience required

03 3. Module 1 — Cloud & Financial Fundamentals

Fundamentals

• Cloud Computing Overview

• IaaS, PaaS, SaaS

• Public, Private & Hybrid Cloud

• AWS, Azure & GCP Overview

• Cloud Resource Consumption

• CAPEX vs OPEX

• Cloud Billing Fundamentals

• Direct vs Indirect Costs

• Fixed vs Variable Costs

• Cloud Economics

Core Technical Topics

• Compute Costs

• Storage Costs

• Database Costs

• Networking Costs

• Data Transfer Costs

• Licensing Costs

• Managed Services Costs

• Serverless Costs

• Container Costs

Hands-On Labs

›1. Cloud Resource Inventory
›2. Cloud Cost Component Analysis
›3. Compute Cost Comparison
›4. Storage Cost Comparison
›5. Network/Data Transfer Cost Analysis

Assignment

›Analyze the monthly cloud infrastructure cost of a sample enterprise environment.

Job-Oriented Scenario

›A company migrated from on-premises infrastructure to cloud but its monthly bill increased unexpectedly. Identify the major cost drivers and recommend corrective actions.

04 4. Module 2 — Finops Fundamentals

Core Topics

• What is FinOps?

• FinOps Principles

• FinOps Lifecycle

• Inform

• Optimize

• Operate

• FinOps Culture

• Collaboration between:

o Finance

o Engineering

o Operations

o Procurement

o Management

• FinOps Stakeholders

• FinOps Operating Model

• Cloud Cost Accountability

Hands-On Labs

›• Build FinOps Operating Model
›• Identify FinOps Stakeholders
›• Create Cost Ownership Matrix
›• Define Cloud Cost Policies

Assignment

›Design a FinOps operating model for a mid-sized organization.

Job Scenario

›Engineering teams are creating cloud resources without understanding their financial impact. Design a cost accountability process.

05 5. Module 3 — Cloud Billing & Cost Management

AWS

• AWS Billing

• Cost Explorer

• AWS Budgets

• Cost & Usage Reports

• Pricing Calculator

• Billing Dashboard

Azure

• Cost Management

• Cost Analysis

• Budgets

• Azure Pricing Calculator

• Cost Alerts

GCP

• Cloud Billing

• Cost Management

• Budgets

• Reports

• Pricing Calculator

Hands-On Labs

›1. AWS Cost Explorer
›2. AWS Budget Creation
›3. AWS Cost Reports
›4. Azure Cost Analysis
›5. Azure Budget Alerts
›6. GCP Billing Reports
›7. Multi-Cloud Cost Comparison

Assignment

›Create a monthly cloud cost reporting dashboard for AWS, Azure and GCP.

06 6. Module 4 — Cost Allocation, Tagging Governance

Core Topics

• Cost Allocation

• Resource Tagging

• AWS Tags

• Azure Tags

• GCP Labels

• Cost Centers

• Business Units

• Projects

• Applications

• Environments

• Owner Tags

• Department Allocation

• Shared Cost Allocation

• Chargeback

• Showback

Hands-On Labs

›• AWS Tagging Strategy
›• Azure Tagging Strategy
›• GCP Label Strategy
›• Cost Center Mapping
›• Department Cost Allocation
›• Chargeback Report

Assignment

›Create an enterprise-wide cloud tagging and cost allocation strategy.

Job Scenario

›Management asks for the exact monthly cloud spend of Development, QA and Production separately. Implement an allocation model.

07 7. Module 5 — Budgeting & Forecasting

Core Topics

• Cloud Budgeting

• Monthly Budget

• Annual Budget

• Department Budget

• Project Budget

• Application Budget

• Forecasting

• Actual vs Budget

• Variance Analysis

• Budget Alerts

• Cost Trends

• Seasonal Forecasting

• Commitment Planning

Hands-On Labs

›1. Create Cloud Budget
›2. Configure Cost Alerts
›3. Actual vs Budget Analysis
›4. Forecast Monthly Spend
›5. Department Budget Model
›6. Project Cost Forecast

Assignment

›Create a 12-month cloud financial forecast.

08 8. Module 6 — Cloud Cost Optimization

Compute Optimization

• Rightsizing

• Idle Resources

• Underutilized Resources

• Auto Scaling

• Instance Selection

• Serverless Optimization

Storage Optimization

• Storage Tiering

• Lifecycle Policies

• Unused Volumes

• Snapshot Management

• Object Storage Optimization

Database Optimization

• Database Rightsizing

• Read Replicas

• Reserved Capacity

• Serverless Database Options

• Idle Database Detection

Networking

• Data Transfer

• Cross-Region Costs

• Cross-AZ Costs

• CDN

• Network Architecture Optimization

Hands-On Labs

›• EC2 Rightsizing
›• Azure VM Optimization
›• GCP Compute Optimization
›• Unused Resource Detection
›• S3 Cost Optimization
›• Azure Storage Optimization
›• GCP Storage Optimization

Mini Project

Cloud Waste Reduction Project

09 9. Module 7 — Aws Finops

Core Topics

• AWS Organizations

• AWS Billing

• Cost Explorer

• AWS Budgets

• AWS Cost & Usage Report

• Cost Allocation Tags

• Savings Plans

• Reserved Instances

• Spot Instances

• EC2 Optimization

• EBS Optimization

• S3 Optimization

• RDS Optimization

• Lambda Cost Optimization

• EKS Cost Optimization

Hands-On Labs

›1. AWS Cost Explorer
›2. AWS Budget
›3. Cost Allocation Tags
›4. Idle EC2 Detection
›5. EBS Optimization
›6. S3 Lifecycle Optimization
›7. RDS Rightsizing
›8. Savings Plan Analysis
›9. Spot Instance Analysis
›10. EKS Cost Analysis

Assignment

›Reduce a simulated AWS monthly bill by 20–30% without affecting application availability.

10 10. Module 8 — Azure Finops

Core Topics

• Azure Cost Management

• Cost Analysis

• Budgets

• Cost Alerts

• Azure Advisor

• Azure Reservations

• Azure Savings Plans

• VM Rightsizing

• Storage Optimization

• SQL Cost Optimization

• AKS Cost Optimization

• Azure Policy

• Management Groups

• Subscriptions

• Resource Groups

Hands-On Labs

›• Azure Cost Analysis
›• Budget Creation
›• Cost Alert
›• VM Rightsizing
›• Azure Advisor Recommendations
›• Storage Optimization
›• AKS Cost Analysis
›• Subscription Cost Allocation

Mini Project

Azure Enterprise Cost Optimization Dashboard

11 11. Module 9 — Google Cloud Finops

Core Topics

• Cloud Billing

• Cost Reports

• Budgets

• Cost Alerts

• BigQuery Billing Export

• Labels

• Projects

• Folders

• Organizations

• Committed Use Discounts

• Compute Optimization

• Storage Optimization

• BigQuery Cost Optimization

• GKE Cost Optimization

Hands-On Labs

›• GCP Budget
›• Billing Reports
›• BigQuery Billing Export
›• Label-Based Cost Allocation
›• Compute Optimization
›• BigQuery Cost Analysis
›• GKE Cost Analysis

Assignment

›Create a GCP project-level cost allocation and optimization model.

12 12. Module 10 — Multi-cloud Finops

Core Topics

• AWS + Azure + GCP Cost Management

• Multi-Cloud Cost Visibility

• Normalization

• Cost Allocation

• Unified Reporting

• Cross-Cloud Comparison

• Cloud Provider Pricing Comparison

• Workload Placement

• Multi-Cloud Governance

Hands-On Labs

›1. AWS vs Azure Cost Comparison
›2. AWS vs GCP Cost Comparison
›3. Multi-Cloud Dashboard
›4. Unified Cost Report
›5. Multi-Cloud Budget

Mini Project

Multi-Cloud Cost Management Dashboard

13 13. Module 11 — Finops For Containers & Kubernetes

Core Topics

• Kubernetes Cost Management

• EKS Cost

• AKS Cost

• GKE Cost

• Namespace Cost

• Pod Cost

• Cluster Cost

• CPU/Memory Allocation

• Requests & Limits

• Idle Capacity

• Cluster Autoscaling

• Node Optimization

• Container Rightsizing

Hands-On Labs

›• Kubernetes Resource Analysis
›• Namespace Cost Allocation
›• Pod Cost Analysis
›• EKS Cost Optimization
›• AKS Cost Optimization
›• GKE Cost Optimization

Mini Project

Kubernetes Cost Optimization Platform

14 14. Module 12 — Finops + Devops

Core Topics

• FinOps in CI/CD

• Infrastructure as Code Cost Estimation

• Terraform Cost Analysis

• Deployment Cost Impact

• Cost Gates

• Cost Policies

• DevOps + FinOps Collaboration

• Cost-Aware Architecture

• FinOps in Agile

Hands-On Labs

›• Terraform Cost Estimation
›• CI/CD Cost Check
›• Cost Policy
›• Deployment Cost Comparison
›• Infrastructure Change Cost Analysis

Assignment

›Implement a cost approval process within a DevOps pipeline.

15 15. Module 13 — Finops Automation With Python

Python Fundamentals

• Variables

• Data Types

• Conditions

• Loops

• Functions

• Lists

• Dictionaries

• File Handling

• JSON

• CSV

• APIs

FinOps Automation

• AWS SDK/Boto3

• Azure APIs

• GCP APIs

• Cost Data Extraction

• Cost Report Generation

• Idle Resource Detection

• Automated Alerts

• Automated Recommendations

Hands-On Labs

›1. AWS Cost Extraction Script
›2. Azure Cost Extraction
›3. GCP Cost Extraction
›4. Idle EC2 Detection
›5. Unused Storage Detection
›6. Automated Cost Report
›7. Cost Alert Automation

Mini Project

Python-Based Cloud Cost Optimization Automation Tool

16 16. Module 14 — AI For Finops

AI Fundamentals

• AI Fundamentals

• Machine Learning Overview

• Generative AI

• Large Language Models

• Prompt Engineering

• AI APIs

• AI-Based Decision Support

AI in FinOps

• AI Cost Analysis

• AI Cost Classification

• AI Forecasting

• AI Anomaly Detection

• AI Recommendations

• AI-Based Rightsizing

• AI Waste Detection

• AI Cost Summarization

• Natural Language Cloud Cost Queries

Hands-On Labs

›1. AI Cloud Cost Analyst
›2. AI Cost Summary Generator
›3. AI Cost Anomaly Detection
›4. AI Rightsizing Recommendation
›5. AI Budget Analysis
›6. Natural Language Cost Query

Assignment

›Build an AI assistant that analyzes cloud cost data and generates optimization recommendations

17 17. Module 15 — Generative AI For Finops

Core Topics

• LLMs for FinOps

• Prompt Engineering

• Structured Prompts

• Cost Data Analysis with LLMs

• RAG Concepts

• FinOps Knowledge Base

• AI Agents

• Function Calling

• API Integration

• Automated Recommendations

• Human Approval Workflows

• AI Governance

Example Use Cases

Prompt:

“Analyze this month’s AWS cost report and identify the top five cost increases.”

AI can generate:

• Cost drivers

• Anomalies

• Possible causes

• Optimization recommendations

• Expected savings

• Risk level

• Recommended action

Hands-On Labs

›• Build FinOps Chatbot
›• Build Cost Analysis Assistant
›• Create FinOps RAG Knowledge Base
›• AI Cost Recommendation Engine
›• AI-Based Budget Assistant

18 18. Module 16 — AI - based Cost Anomaly Detection

Core Topics

• Cost Anomalies

• Baseline Analysis

• Historical Cost Patterns

• Thresholds

• Statistical Anomaly Detection

• ML-Based Anomaly Detection

• Sudden Spend Detection

• Service-Level Anomalies

• Account-Level Anomalies

Hands-On Labs

›1. Detect Abnormal Spending
›2. Cost Trend Analysis
›3. Service-Level Anomaly Detection
›4. AI Anomaly Classification
›5. Automated Alert Generation

Mini Project

AI-Powered Cloud Cost Anomaly Detection System

19 19. Module 17 — Cloud Unit Economics

Core Topics

• Unit Economics

• Cost per Customer

• Cost per Transaction

• Cost per User

• Cost per API Call

• Cost per Application

• Cost per Product

• Revenue vs Cloud Cost

• Gross Margin

• Cloud Cost KPIs

• Business Value

Hands-On Lab

›Calculate the cloud cost of delivering one customer transaction.

Assignment

›Develop a Cloud Unit Economics model for an SaaS application.

20 20. Module 18 — Finops KpI & Reporting

Key Metrics

• Total Cloud Spend

• Budget Variance

• Forecast Accuracy

• Cost Savings

• Avoided Cost

• Waste

• Utilization

• Commitment Utilization

• Unit Cost

• Cost per Customer

• Cost per Application

• Cost per Business Unit

Dashboards

• Executive Dashboard

• Finance Dashboard

• Engineering Dashboard

• Cloud Operations Dashboard

• Application Cost Dashboard

Tools

• Power BI

• Excel

• AWS Cost Explorer

• Azure Cost Management

• GCP Billing

• Looker/Looker Studio

Mini Project

Executive FinOps KPI Dashboard

21 21. Module 19 — Finops Governance & Policy

Core Topics

• Cloud Governance

• Financial Policies

• Resource Policies

• Tagging Policies

• Budget Policies

• Approval Workflows

• Cost Thresholds

• Security + Cost Governance

• Compliance

• FinOps Operating Model

• Executive Reporting

Hands-On Labs

›• Cloud Cost Policy
›• Tagging Policy
›• Budget Policy
›• Resource Governance
›• Cost Approval Workflow

22 22. Module 20 — Real-time Job Scenarios

• AWS monthly bill increases by 40%.

• Azure subscription exceeds its monthly budget.

• GCP project shows unexpected BigQuery spending.

• Production EC2 instances are underutilized.

• Developers create resources without mandatory tags.

• Kubernetes cluster has excessive idle capacity.

• Data transfer costs suddenly increase.

• Cloud database costs exceed application revenue.

• AI workloads create unexpected GPU expenses.

• Multiple business units share the same cloud resources.

• Management requests a monthly cloud savings report.

• Finance needs forecasted cloud expenditure for the next quarter.

• Engineering wants to deploy a new architecture and asks for its expected monthly cost.

• A cloud migration project needs a TCO comparison.

• A company wants to determine whether Reserved Instances/Savings Plans are financially beneficial.

23 23. Troubleshooting Scenarios

Cost Issues

• Unexpected cost spike

• Billing anomaly

• Incorrect cost allocation

• Missing tags

• Unallocated resources

• Duplicate resources

• Idle resources

• Forgotten development environments

AWS

• EC2 cost increase

• EBS cost increase

• S3 cost increase

• Data transfer spike

• RDS cost increase

• EKS cost increase

• Savings Plan utilization issues

Azure

• VM cost spike

• Storage cost increase

• AKS cost increase

• Reservation utilization issues

• Subscription budget alerts

GCP

• BigQuery cost increase

• GKE cost increase

• Compute cost increase

• Project-level billing anomaly

• Incorrect AI cost recommendation

• Poor anomaly detection

• Hallucinated optimization recommendation

• Inaccurate cost forecast

• AI-generated recommendation lacks sufficient evidence

24 24. Industry Tools

Cloud FinOps

• AWS Cost Explorer

• AWS Budgets

• AWS Cost & Usage Report

• AWS Pricing Calculator

• Azure Cost Management

• Azure Advisor

• Azure Pricing Calculator

• GCP Cloud Billing

• GCP Pricing Calculator

FinOps Platforms

• Apptio Cloudability

• Flexera One

• Harness Cloud Cost Management

• Kubecost

• CloudZero

• Vantage

Data & Visualization

• Power BI

• Excel

• Tableau

• Looker

• Looker Studio

• SQL

• Python

Automation

• Terraform

• Python

• Boto3

• AWS CLI

• Azure CLI

• Google Cloud CLI

• REST APIs

• Generative AI platforms

• LLM APIs

• AI Agents

• RAG

• Vector Databases

• Prompt Engineering Tools

25 25. Best Practices

• Establish clear cost ownership.

• Implement mandatory tagging/labeling.

• Continuously monitor cloud spend.

• Automate anomaly detection.

• Implement budgets and alerts.

• Rightsize resources regularly.

• Eliminate idle resources.

• Optimize storage lifecycle.

• Monitor data-transfer costs.

• Evaluate commitments carefully.

• Implement unit economics.

• Integrate FinOps into DevOps.

• Use Infrastructure as Code.

• Automate repetitive FinOps activities.

• Keep humans involved in high-impact optimization decisions.

• Validate AI recommendations against actual billing and architecture data.

• Maintain governance over AI-generated recommendations.

26 26. Certification Names

FinOps

FinOps Certified Practitioner

FinOps Certified Engineer

FinOps Certified Professional

FinOps Certified FOCUS Analyst

Cloud

AWS Certified Cloud Practitioner

AWS Certified CloudOps Engineer – Associate

Microsoft Certified: Azure Fundamentals

Microsoft Certified: Azure Administrator Associate

Google Cloud Digital Leader

Associate Cloud Engineer – Google Cloud

AWS Certified AI Practitioner

Microsoft Certified: Azure AI Fundamentals

Additional AI/ML certifications can be selected according to the learner’s cloud specialization.

27 27. Mock Interviews

FinOps Interview

FinOps principles + Cloud Economics + Cost Allocation + Optimization + Forecasting

Cloud Interview

AWS + Azure + GCP Cost Management

Scenario Interview

›“Your organization’s cloud bill has increased 35% this month. Explain your investigation process.”

AI Interview

AI-based anomaly detection + GenAI + AI recommendations + FinOps automation

28 28. Resume Preparation

Create an ATS-friendly FinOps / Cloud FinOps Engineer resume highlighting:

Project-Based Resume

Each project should demonstrate:

Business Problem → Cloud Architecture → Cost Analysis → Optimization → Automation → AI Recommendations → Savings/Business Impact

29 29. Placement Assistance

• ATS Resume Preparation

• LinkedIn Profile Optimization

• FinOps Project Portfolio

• GitHub Portfolio

• Cloud Cost Optimization Case Studies

• Mock Technical Interviews

• Scenario-Based Interviews

• HR Interview Preparation

• Certification Guidance

• Job Role Mapping

• Resume Project Documentation

• Interview Question Preparation

30 30. Target Job Roles

Entry Level

• Cloud Cost Analyst

• FinOps Analyst

• Cloud Support Engineer

• Cloud Operations Analyst

• Junior FinOps Engineer

Mid Level

• FinOps Engineer

• Cloud Cost Optimization Engineer

• Cloud Financial Analyst

• Cloud Governance Analyst

• Cloud Operations Engineer

Advanced

• Senior FinOps Engineer

• FinOps Consultant

• Cloud Economics Consultant

• FinOps Architect

• Cloud Cost Optimization Architect

• Multi-Cloud FinOps Specialist

• AI FinOps Engineer

Tools & Technologies

Every tool listed here is installed, configured and used in a hands-on lab session.

Core Tools

Hands-On Labs

Practical Environment

Industry-Standard Tools

Real-World Setup

Guided Exercises

Skill Building

Sample Datasets

Practice Material

Practice & Projects

Mini Projects

Applied Practice

Assignments

Mentor Reviewed

Doubt Sessions

Live Support

Career Readiness

Resume Building

Career Support

Mock Interviews

Interview Prep

Certification Prep

Global Recognition

Deployment & Delivery

Production Practices

Real-World Ready

Best Practices

Industry Standards

564+

Hands-On Lessons

Core Modules

80 hours

Training Duration

100%

Practical Training

You don't just learn CLOUD FINOPS WITH AI. You ship it.

Three major projects, each mirroring how production teams actually work — from guided foundations to a portfolio-ready capstone.

PROJECT // 01

Guided Foundation Project

→Requirement Analysis

→Guided Implementation

→Mentor Review

→Iteration

Foundation Beginner

Apply the fundamentals in a structured, mentor-reviewed project

Take the core concepts from the first half of the curriculum and apply them to a realistic scenario, with guidance and feedback from your mentor at every step.

Structured project brief

Step-by-step implementation

Mentor feedback and review

Documented outcome

Stack Core Concepts Best Practices

PROJECT // 02

Applied Practice Project

→Scenario Design

→Independent Build

→Testing & Validation

→Peer Review

Applied Intermediate

Build a more independent project mirroring real production scenarios

Work through a project that combines multiple concepts from the curriculum, closer to how work is actually structured on the job — less hand-holding, more ownership.

End-to-end implementation

Testing and validation

Documentation

Peer/mentor review

Stack Applied Skills Testing

PROJECT // 03

Capstone Project

→Planning

→End-to-End Build

→Review & Refinement

→Presentation

Capstone Advanced

Take a project from requirements to a polished, portfolio-ready deliverable

Your final project — plan, build, test and present a complete solution using everything covered in the curriculum, reviewed by mentors before you graduate.

Complete working solution

Presentation-ready documentation

Mentor sign-off

Portfolio-ready deliverable

Stack Full Curriculum Portfolio

All 3 projects go directly into your portfolio & resume — reviewed by mentors before you graduate.

See Sample Project Reports

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Radical Technologies is the leading IT certification institute in Pune, offering globally recognized certifications across various domains. With expert trainers and comprehensive materials, we ensure students gain in-depth knowledge and hands-on experience to excel in their careers. Our certification programs are tailored to meet industry standards — from cloud technologies to data science — empowering individuals to stay ahead in the ever-evolving tech landscape.

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At Radical Technologies, we are committed to your success beyond the classroom. Our 100% Job Assistance program ensures that you are not only equipped with industry-relevant skills but also guided through the job placement process. With personalised resume building, interview preparation, and access to our extensive network of hiring partners, we help you take the next step confidently into your IT career.