AWS Cloud

1. What is an Application?

2. Types of Applications

3. Web Application Fundamentals

4. Web Technologies: (List key technologies and their roles)

• Frontend: HTML, CSS, JavaScript, React
• Backend: Python, Java, Node.js
• Databases: SQL (MySQL, PostgreSQL), NoSQL (MongoDB).

5. Software Development Life Cycle (SDLC)

• Phases: Planning, Analysis, Design, Implementation (Coding), Testing, Deployment, Maintenance.

6. Application Development Methodologies

• Agile: Core principles, Scrum, Kanban
• Waterfall

1. What is Data

2. Types of Data

3. Data Storage

4. Data Analysis

5. Data Engineering

6. Data Science

1. The Importance of Computing Power

2. Key Computing Technologies:

• CPU (Central Processing Unit)
• GPU (Graphics Processing Unit)

3. Cloud Computing:

• What is the Cloud?
• Cloud Service Models:
• IaaS (Infrastructure as a Service)
• PaaS (Platform as a Service)
• SaaS (Software as a Service)

1. What is Artificial Intelligence (AI)?

2. How AI Works?

3. Key Concepts:

• Machine Learning (ML)
• Deep Learning (DL)

4. Generative AI:

• What is Generative AI?
• Examples: Large Language Models (LLMs), image generation models.

5. AI in Everyday Learning

1. Customer Relationship Management (CRM)

2. Human Resource Management Systems (HRMS)

3. Retail & E-Commerce

4. Healthcare

Fundamentals of Cloud Computing

Walk through AWS Free Tier Account

AWS Management Console

Cloud Offerings

Public vs Private vs Hybrid

Infrastructure As A Service

IAAS

Platform As A Service

PAAS

Software As A Service

SAAS

AWS Regions

AWS Availability Zones

VPC Components

Internet Gateway

Subnets

Route Tables

Network Access Control List

NACL

Security Group

VPC Requirement

VPC Subnetting

VPC Requirement

Build Custom VPC

Introduction To EC2

EC2 Components

EC2 Instance Setup

SSH Clients

GitBash

Putty

Terminal

AWS Key Pairs

Apache Web Server Setup

Hosting Web Application

Public IP

Private IP

Elastic IP

Godaddy

DNS Setup

Configuring DNS for Website Mapping

Intro To Databases

IAAS Databases vs PAAS Database

Host IAAS Databases

Host PAAS Databases

Setup Web Application For IAAS DB

Setup Web Application For PAAS RDS

Introduction to Generative AI

1. What is Generative AI?

2. Key Applications:

• Text (ChatGPT, Claude, LLaMA)
• Images (DALL·E, MidJourney, Stable Diffusion)
• Audio (Music Generation, Voice Cloning)
• Code (GitHub Copilot, Cursor)

3. Evolution of GenAI:

•  Rule-Based → Deep Learning → Transformers
• GANs vs. VAEs vs. LLMs

1. Effective Prompt Design

• Instruction-Based, Few-Shot, Zero-Shot

2. Advanced Techniques:

• Chain-of-Thought (CoT) Prompting
• Self-Consistency & Iterative Refinement
• Hands-on:
• Optimizing prompts for GPT-4, Claude, LLaMA

Transformer Architecture

1. Why Transformers? (Limitations of RNNs/LSTMs)

2. Key Components:

• Self-Attention & Multi-Head Attention
• Encoder-Decoder (BERT vs. GPT)

3. Evolution: BERT → GPT → T5 → Mixture of Experts

4. Large Language Models (LLMs)

5. Pre-training vs. Fine-tuning

6. Popular Architectures:

• GPT-4, Claude, Gemini, LLaMA 3
• BERT (Encoder-based) vs. T5 (Text-to-Text)

Introduction to AI Agents

1. What are AI Agents?

2. vs. Traditional AI:

3. Applications:

AI Agent Frameworks

1. CrewAI (Multi-Agent Collaboration):

2. n8n (Workflow Automation):

Designing AI Agents

• CrewAI + n8n: Automating Business Workflows
• Multi-Agent Systems: Collaboration & Specialization

Real-World Applications

• Case Studies:
• AI Customer Support Agents