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Professional Training

Professional Training Programs

Industry-aligned, offline classroom programs built with real-world tools, expert mentors, AI productivity skills, and hands-on capstone projects - across two structured career tracks.

20+
Programs Available
2
Specialized Tracks
AI
Integrated Every Program
100%
Classroom + Lab

Detailed Program Syllabus

Week 1
AI Fundamentals & Ethics

Intro to AI productivity, ethics, and real-world capabilities.

Week 2
Prompt Engineering

Prompt engineering fundamentals - Role, Task, and Step-based prompting.

Week 3
AI for Code & Logic

AI for coding, logic building, and debugging.

Week 4
AI for Content & Docs

AI for content creation, reports, and documentation.

Week 5
AI Tools & Workflows

AI tools overview, agent concepts, and workflow automation.

Week 6
Mini Project

AI-assisted professional workflow - end-to-end mini project.

Week 1
Automation Thinking

Intro to AI automation - manual vs automated workflow comparison.

Week 2
n8n Basics

n8n basics - nodes, triggers, actions, and data flows.

Week 3
AI Inside Workflows

Using AI inside workflows for generation and decisions.

Week 4
AI Agents Foundation

Task-based AI agents using LangChain foundation.

Week 5
RAG & Document QA

RAG basics and document-based Q&A systems.

Week 6
Mini Project

Mini Project - AI Helpdesk / FAQ Automation system.

Week 1
Intro to AI/ML & Python

Foundations of AI/ML and Python programming basics.

Week 2
Data Handling

Data handling and dataset preparation techniques.

Week 3
ML Fundamentals

Machine learning basics - types and core categories.

Week 4
Model Building

Simple model building and training workflows.

Week 5
Applied AI & Evaluation

Applied AI use cases and model evaluation metrics.

Week 6
Mini Project

Mini Machine Learning project built from scratch.

Week 1
Data Fundamentals

Data fundamentals and understanding real-world datasets.

Week 2
Data Cleaning

Data cleaning and preparation techniques.

Week 3
Data Analysis (Pandas)

Data analysis using Python - Pandas deep dive.

Week 4
Data Visualization

Creating charts and visual reports with Matplotlib/Seaborn.

Week 5
Insights & Interpretation

Data interpretation and extracting business insights.

Week 6
Mini Project

Mini Data Analytics project using a real dataset.

Week 1
Cloud Concepts

Cloud concepts and service models - IaaS, PaaS, SaaS.

Week 2
AWS & Azure Overview

AWS/Azure dashboards and platform overview.

Week 3
Compute Services

Virtual machines and compute services (EC2/Azure VM).

Week 4
Storage & Databases

Storage and managed database services on cloud platforms.

Week 5
Networking & Security

Networking basics and cloud security concepts.

Week 6
Mini Project

Mini Project - host and deploy a cloud application end-to-end.

Week 1
JavaScript (ES6)

Modern JS fundamentals - syntax, closures, async/await.

Week 2
React Introduction

React introduction, JSX syntax, and project setup.

Week 3
Components & State

Components, Props, and State Management.

Week 4
Forms & API Integration

Forms, Events, and API Integration (Axios/Fetch).

Week 5
Advanced Features

Building complex frontend features and routing.

Week 6
Mini Project

React Mini Project with full REST API integration.

Week 1
C# & .NET Core

C# and .NET Core fundamentals - OOP and patterns.

Week 2
Web API Development

Building .NET Core Web APIs with REST principles.

Week 3
Database Integration

Database integration with SQL Server and EF Core.

Week 4
Blazor UI Development

Blazor components and interactive UI development.

Week 5
Full Integration

Full application integration and testing.

Week 6
Mini Project

CRUD-based Full Stack Mini Project with Blazor.

Week 1
.NET Core Web API

.NET Core Web API basics and project setup.

Week 2
REST API Design

REST API design concepts and best practices.

Week 3
React for Full Stack

React basics applied to Full Stack development.

Week 4
API Integration

API integration between React frontend and .NET backend.

Week 5
Auth & Security

Authentication and security basics - JWT implementation.

Week 6
Mini Project

Full Stack Mini Project with deployment.

Week 1
Data Basics

Data basics and dataset structure understanding.

Week 2
Power BI Interface

Power BI interface, tools, and navigation intro.

Week 3
Data Cleaning (ETL)

Data cleaning and Power Query (ETL) processes.

Week 4
Charts & Dashboards

Creating interactive charts and visual dashboards.

Week 5
DAX & KPIs

DAX basics, calculated measures, and KPI definitions.

Week 6
Mini Project

Business Dashboard project using a real dataset.

Week 1
Excel Foundations

Excel basics and advanced formula techniques.

Week 2
Advanced Functions

Advanced functions - XLOOKUP, INDEX/MATCH, and more.

Week 3
Pivot Tables & Charts

Pivot tables and data visualization in Excel.

Week 4
Power Query

Power Query fundamentals for data transformation.

Week 5
AI-Assisted Reporting

AI-assisted reporting and automation workflows.

Week 6
Mini Project

Business Reporting Mini Project using live data.

Week 1
Digital Marketing Basics

Digital marketing concepts and sales funnel strategy.

Week 2
SEO Fundamentals

SEO basics - On-page and Off-page optimization.

Week 3
Content Strategy

Keyword research and content strategy planning.

Week 4
Social Media Optimization

Social Media Optimisation (SMO) techniques.

Week 5
AI Content Tools

AI tools for content creation and image generation.

Week 6
Mini Campaign

Mini Digital Marketing Campaign from concept to execution.

Ready to Start Your Learning Journey?

Choose the track that matches your goals and take the next step towards a high-impact career.