Pre-requisites

Nothing

Eligibility

Anyone can join

Day 1

• Introduction to AI Concepts
• History
• Trends
• Ethics
• Ice breaker

Day 2

• Overview of essential tools and setup - Chat GPT, Claude, Perplexity, Google AI Studio, Replit, Rocket, Gemini
• Appropriate use of AI tools
• Customize your Chat GPT
• Activation of pro plans (if availed by participants)
• Effective Prompts creation - JSON prompt, text prompt, image prompt
• Create your own custom GPT

Day 3

• Foundational knowledge of language models
• Prompting techniques
• Collaborative techniques with skills application
• Code interpreter and analysis

Day 4

• Automation techniques to enhance productivity
• Practical labs for building AI powered workflows using Zapier
• Create your automation in less than 60 minutes.
• Fully functional AI agent
• RAG (Retrieval Augmented Generation)

Day 5

• Advanced prompt engineering skills
• Creativity and problem solving
• Team challenges
• Interactive and creative gift

Day 6

• Hands on a real life project of SAP, Google, Microsoft, Open AI
• Become future ready and show off your AI skills
• Capstone project introduction

Day 7

• Discussion on future of AI
• Concepts of AGI and ASI
• Fostering group brainstorming for impact scenarios

Day 8

• Capstone project presentation and feedback
• Future learning pathways

Introduction to AI and Data Analytics  

Module 1

Introduction to Data Analysis

Day 1

·         Introduction to Python

·         Introduction to Data Analysis

Day 2

·         Jupyter Notebook Understanding

·         Python Packages for the Data Analysis (Pandas)

·         Python Packages for the Data Analysis (Numpy)

Module 2

Day 3

·          Import and export the data

·          Statistics in Python

·          Statistics for Data Analysis

·          Understanding with Visualizations

Module 3

Day 4

Summarizing the Data Frame

·         EDA steps – Part 1

·         EDA steps – Part 2

Day 5

Missing Values

·         Outliers

·         Data Formatting

Module 4

Day 6

Data Understanding

·         Scaling

·         Data Scaling

·         Univariate Analysis

·         Variable Analysis

·         Multivariate Analysis

Day 7

 Understanding AI through data

·         Different types of Data sources, methods of handling their importance

·         Common Statistics techniques – Mean, Median, Mode, Histogram

·         Visualization: Structuring & visualizing data, visualization·         

Day 8

• Supervised
• Un supervised learning

Day 9 & 10

Mini project and evaluation

Learn the fundamentals of cloud computing with our AWS training in Noida Extension, conducted on weekends. This job-oriented IT course is perfect for IT beginners and professionals aiming to gain hands-on experience with Amazon Web Services in just 3 weeks. Enroll now at the best Skill Development Center in Noida Extension.

 Course Schedule

📅 Day 1: Cloud & AWS Essentials

• What is Cloud Computing? IaaS vs PaaS vs SaaS
• AWS Overview & Use Cases
• AWS Console Tour & Account Setup
• Core Services Overview (EC2, S3, IAM)

🛠 Hands-On:

• Create AWS Free Tier account
• Launch your first EC2 instance
• Upload files to S3 bucket

📅 Day 2: Networking & Identity

• VPC Basics & Security Groups
• Elastic IPs and Public vs Private IPs
• IAM (Users, Roles, Policies)
• Cloud storage vs local storage

🛠 Hands-On:

• Create and configure security groups
• Create IAM users with limited permissions
• Host a static website using S3

📅 Day 3: Databases & Monitoring

• AWS RDS Basics (MySQL/PostgreSQL)
• DynamoDB Intro
• CloudWatch for Monitoring
• Intro to billing, budgets, cost optimization

🛠 Hands-On:

• Launch RDS MySQL instance
• Connect to RDS using client
• Setup CloudWatch alarm for EC2

📅 Day 4: Mini Project + Wrap-Up

• Simple Web App Deployment (e.g., EC2 + S3 + RDS)
• AWS Architecture Best Practices
• Pathway to AWS Certifications
• Recap + Q&A

🗓️ Course Schedule

📅 Day 1: Introduction to Microservices

Topics:

• Monolithic vs Microservices Architecture
• Characteristics & advantages of microservices
• Real-world examples (Netflix, Amazon, Uber)
• Introduction to REST APIs and JSON
• Tools and Tech Stack Overview: Spring Boot / Node.js / Docker (overview)

Hands-On:

• Create a basic RESTful API in Java (Spring Boot) or Node.js (Express)

📅 Day 2: Designing Microservices

Topics:

• Microservices design principles
• Domain-Driven Design (DDD) basics
• Service decomposition strategies
• Communication between services (REST, gRPC basics)

Hands-On:

• Create 2 simple services: e.g., User Service and Order Service
• Make them communicate using REST endpoints

📅 Day 3: Service Communication & Data Management

Topics:

• API Gateway & Service Registry overview (e.g., Netflix Eureka, Spring Cloud Gateway)
• Database per service vs shared database
• Error handling, retries, and timeouts
• Intro to Docker & containerization

Hands-On:

• Use Postman to test inter-service communication
• Basic Docker demo: containerize one service

📅 Day 4: Mini Project + Best Practices

Topics:

• Best practices: logging, security, scalability
• Brief on CI/CD & deployment strategies
• Recap and Q&A

Hands-On:

• Build a mini project:

Advanced Java Weekend Syllabus (8 Weeks)

Total Duration: ~16–24 hours (2–3 hours every weekend)
Target Audience: Students with Core Java knowledge

🗓️ Week 1: Java Review & Introduction to JDBC

• Quick recap of Core Java (OOPs, Exceptions, Collections)
• JDBC Architecture
• Connecting to databases using JDBC
• Statements, PreparedStatement, CallableStatement
• ResultSet and Transaction Management

🗓️ Week 2: JDBC Hands-On & Introduction to Servlets

• JDBC CRUD operations (MySQL/PostgreSQL)
• Web application architecture (client-server model)
• Servlet lifecycle
• Writing and deploying Servlets
• Handling requests and responses (GET, POST)

🗓️ Week 3: Servlet Advanced Concepts

• Session management (cookies, HttpSession, URL rewriting)
• ServletContext and ServletConfig
• RequestDispatcher and filters
• Error handling in Servlets

🗓️ Week 4: Java Server Pages (JSP)

• JSP lifecycle and architecture
• Directives, declarations, expressions, and scriptlets
• Implicit objects in JSP
• JSP with JDBC
• JSTL and EL (Expression Language)

🗓️ Week 5: MVC Architecture & Project Setup

• Model-View-Controller (MVC) pattern in Java web apps
• Integrating Servlets and JSP with MVC
• Setting up a mini project structure
• Use of DAO (Data Access Object) pattern

🗓️ Week 6: JSP + JDBC Mini Project (Hands-On)

• Develop a working module (like login/register/dashboard)
• User authentication and authorization
• Session tracking and user role management

🗓️ Week 7: Introduction to Frameworks (Spring Basics)

• What is a framework? Why Spring?
• Spring Core Concepts (IoC, DI)
• Introduction to Spring Boot (basics)
• REST API fundamentals using Spring Boot (if time permits)

🗓️ Week 8: Final Project & Deployment

• Completing mini-project (CRUD-based web app)
• Deployment on local Tomcat server
• Overview of hosting Java web app on cloud (Heroku/AWS)
• Revision and Q&A session

✅ Tools & Technologies Covered:

• Java SE, JDBC, Servlets, JSP, JSTL, MVC, DAO
• MySQL/PostgreSQL
• Apache Tomcat
• Spring Basics (optional)
• Git (optional for version control)