Kussha Consultancy | Your Path to Career Excellence & Future-Ready Skills

Your journey to a rewarding career in AI, ML & Cloud Computing starts here. Expert guidance and hands-on training for a future-ready you.

Our Core Services

Career Counseling

Personalized guidance to help you choose the right stream and career path based on your interests and skills.

Skill Development

Hands-on training in the latest technologies to help you build a strong foundation and practical skills for the job market.

Certification Training

Prepare for industry-recognized certifications to validate your skills and boost your professional credibility.

Trending Courses & Programs

Generative AI & LLM Engineering

Foundations of AI & ML
Large Language Models (LLMs)
Prompt Engineering
OpenAI and Google Gemini APIs
Building RAG Systems

Python for Data Science & AI

Core Python Programming
Data Manipulation with Pandas
Data Visualization with Matplotlib
NumPy for Scientific Computing
Building Machine Learning Models

AWS Cloud Practitioner & Architect

Cloud Computing Fundamentals
Core AWS Services (EC2, S3, VPC)
Security & Compliance
AWS Solutions Architect Associate
Hands-on Projects & Demos

Microsoft Azure Fundamentals

Azure Services & Architecture
Azure Infrastructure (IaaS)
Data Platform Services
Security, Privacy, and Compliance
Preparation for AZ-900 Exam

Google Cloud Platform (GCP) Fundamentals

Core GCP Services (Compute Engine, Cloud Storage)
Networking & Security in GCP
Big Data & Machine Learning on GCP
Preparation for Google Cloud Digital Leader

Full Stack Development & DevOps

Frontend: HTML, CSS, JavaScript
Backend: Node.js, Express
Databases: MongoDB
DevOps: Docker, Kubernetes, CI/CD
Building Scalable Web Applications

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Generative AI & LLM Engineering

This course is designed for professionals and students eager to master the new frontier of artificial intelligence. Learn to design, build, and deploy applications using state-of-the-art Generative AI models.

Course Modules:

Introduction to Generative AI and its applications.
Understanding the architecture of Large Language Models (LLMs).
Advanced Prompt Engineering for optimal model interaction.
Working with APIs from major providers like Google Gemini, OpenAI, and Anthropic.
Building Retrieval-Augmented Generation (RAG) systems.
Ethical considerations and best practices in AI development.

Code Sample: Prompting a Gemini API for a summary

import google.generativeai as genai

genai.configure(api_key="YOUR_API_KEY")
model = genai.GenerativeModel('gemini-pro')

prompt = "Summarize the key differences between supervised and unsupervised learning in 100 words."
response = model.generate_content(prompt)

print(response.text)

Enroll Now

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Python for Data Science & AI

Master the most popular programming language for data science and machine learning. This course provides a strong foundation in Python and its essential libraries for data analysis, visualization, and model building.

Course Modules:

Fundamentals of Python syntax, data structures, and functions.
Data manipulation and analysis with the Pandas library.
Creating insightful visualizations with Matplotlib and Seaborn.
Introduction to scientific computing with NumPy.
Building and evaluating machine learning models using Scikit-learn.

Code Sample: Basic Data Analysis with Pandas

import pandas as pd

data = {'Name': ['Alice', 'Bob', 'Charlie'],
        'Age': [25, 30, 35],
        'City': ['New York', 'Los Angeles', 'Chicago']}
df = pd.DataFrame(data)

print("DataFrame head:")
print(df.head())

# Calculate average age
average_age = df['Age'].mean()
print(f"\nAverage age: {average_age}")

Enroll Now

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AWS Cloud Practitioner & Architect

Gain a solid understanding of the AWS cloud platform and prepare for two of the most popular AWS certifications. This course covers the core services, security principles, and architectural best practices of AWS.

Course Modules:

Introduction to the AWS Cloud and its global infrastructure.
In-depth look at core services: EC2, S3, RDS, and VPC.
Understanding Identity and Access Management (IAM).
Security, monitoring, and networking in the AWS cloud.
Architecting for high availability and scalability.

Code Sample: Automating an EC2 instance with AWS CLI

# Launch an EC2 instance from the command line
aws ec2 run-instances \
    --image-id ami-0c55b159cbfafe1f0 \
    --count 1 \
    --instance-type t2.micro \
    --key-name MyKeyPair \
    --security-group-ids sg-903004f8 \
    --subnet-id subnet-6e7f8f90

Enroll Now

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Microsoft Azure Fundamentals (AZ-900)

This foundational course is perfect for anyone looking to start their cloud journey with Azure. You will gain a comprehensive understanding of core Azure concepts, services, and the certification exam.

Course Modules:

Cloud concepts and the benefits of Azure.
Azure core services: compute, networking, storage, and databases.
Security, privacy, and compliance features.
Pricing and support models in Azure.
Preparing for the AZ-900 certification exam.

Code Sample: Creating a simple Azure Web App

# Create a resource group
az group create --name MyWebAppResourceGroup --location eastus

# Create an App Service plan
az appservice plan create --name MyWebAppPlan --resource-group MyWebAppResourceGroup --sku F1 --is-linux

# Create a web app
az webapp create --name MyAzureWebApp --resource-group MyWebAppResourceGroup --plan MyWebAppPlan

Enroll Now

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Google Cloud Platform (GCP) Fundamentals

Explore the services and tools offered by Google Cloud Platform. This course is ideal for those new to GCP, providing a solid foundation in its core services and preparation for the Cloud Digital Leader certification.

Course Modules:

Introduction to GCP and its core infrastructure.
Using Compute Engine, Cloud Storage, and BigQuery.
Identity and Access Management (IAM) on GCP.
Managing networking and security.
Overview of GCP's AI and Machine Learning services.

Code Sample: Uploading a file to Google Cloud Storage

from google.cloud import storage

# Instantiates a client
storage_client = storage.Client()

# The name for the new bucket
bucket_name = "my-unique-bucket-name"
bucket = storage_client.bucket(bucket_name)

# Create the bucket
bucket.storage_class = "STANDARD"
bucket.create(location="us-east1")

print(f"Bucket {bucket.name} created.")

Enroll Now

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Full Stack Development & DevOps

Become a versatile developer capable of handling both frontend and backend tasks. This course covers the entire web development lifecycle, from coding to deployment using modern DevOps practices.

Course Modules:

Frontend: HTML, CSS, JavaScript fundamentals and modern frameworks.
Backend: Building REST APIs with Node.js and Express.
Databases: Working with NoSQL databases like MongoDB.
DevOps: Introduction to Docker for containerization and Kubernetes for orchestration.
Continuous Integration/Continuous Deployment (CI/CD) pipelines.

Code Sample: A simple Node.js Express server

const express = require('express');
const app = express();
const port = 3000;

app.get('/', (req, res) => {
  res.send('Hello World! This is a simple web server.');
});

app.listen(port, () => {
  console.log(`Server listening at http://localhost:${port}`);
});

Enroll Now

Career Paths You Can Explore

Our courses prepare you for high-demand roles in the tech industry. Here's where your journey can lead.

Data Scientist

Analyze complex data to solve business problems and extract valuable insights.

Machine Learning Engineer

Build, train, and deploy machine learning models that power intelligent applications.

Cloud Architect

Design and manage robust, scalable, and secure cloud infrastructure solutions.

AI/ML Developer

Develop and integrate AI and machine learning features into software applications.

DevOps Engineer

Streamline software development and IT operations for faster, more reliable deployments.

Full Stack Developer

Work on both the front-end and back-end of web applications.

Contact Us

Get in touch with us to start your career journey. We are here to help!