Agentic AI + Python Automation

Agentic AI + Python Automation Program

Introduction to Agentic AI

• What is Agentic AI and how it differs from traditional AI
• Autonomous agents vs rule-based automation
• Real-world enterprise use cases
• AI agents in business, IT, and operations

Python Fundamentals for Automation

• Python basics for automation use cases
• Variables, functions, loops, and modules
• File handling and data processing
• Writing reusable and scalable scripts
• Automation best practices

Automation with Python

• Automating repetitive tasks
• Working with OS, files, and folders
• Web automation fundamentals
• Email, reporting, and data automation
• Error handling and logging

AI Foundations for Agentic Systems

• Basics of Machine Learning & AI
• NLP fundamentals for AI agents
• Understanding LLMs (Large Language Models)
• Prompt engineering basics
• AI decision-making concepts

Building Intelligent AI Agents

• Designing autonomous AI agents
• Task planning and goal-oriented agents
• Multi-step reasoning and execution
• Memory and context handling
• Human-in-the-loop systems

Agentic AI with Python

• Integrating AI models with Python scripts
• Tool calling and function execution
• AI agents performing real actions
• API-based AI integrations
• Secure and scalable agent design

Workflow Automation using AI Agents

• End-to-end automation workflows
• AI-driven decision automation
• Data extraction, processing, and reporting
• AI agents for IT operations & business workflows
• Monitoring and improving agent performance

Real-World Use Cases & Case Studies

• AI agents for customer support automation
• Resume screening & document processing agents
• Data analysis & reporting automation
• IT support & ticket handling agents
• Business process automation examples

Mini Projects

• Python automation project
• AI-powered intelligent agent project
• End-to-end agent workflow implementation
• Project documentation for resume
• Industry-aligned project review

Industry Readiness & Career Guidance

• Career paths: AI Engineer, Automation Engineer, Agentic AI Developer
• Resume and LinkedIn profile guidance
• Interview questions and real scenarios
• Best practices from industry professionals
• Job referral and mentoring support