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BUILDING REAL-WORLD AI WORKFLOWS
From Core Engineering to Smart Engineering with
AI
What’s
Today?
Building Context For Agentic World
Q & A
What is Automation
Importance and Core Components of
N8N Automation
N8N For Real time Automation
NVIDIA will provide access to the most advanced
NVIDIA® GH200 Grace Hopper Superchip and
NVIDIA DGX™ Cloud, an AI supercomputing service in the
cloud.
https://nvidianews.nvidia.com/news/reliance-and-nvidia-partner-to-advance-ai-in-india-for-india
AI Today
Gen
AI
LL
M
AI
Agent
Agentic
AI
Gen AI
Generative AI (Gen AI) is a broad category of AI models that can generate new content, including
text, images, audio, and more
LLM
Large Language Models (LLMs) are a specific type of Gen AI focused on processing and
generating human-like text.
AI Agent
AI agents are autonomous software systems that perceive their environment, make decisions,
and act to achieve specific goals with minimal human intervention.
Agentic AI systems will have one or more AI agents performing complex tasks.
Agentic AI
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Imagine
this:
👉 Did a human do this manually?
Making systems do repetitive tasks
automatically without human intervention
---
Automation
A workflow = Step-by-step connected automation logic
Core Concepts of an Automation
🔹Trigger
Something happens Workflow starts
→
Examples:
Form submitted
New email received
Button clicked
Scheduled time (every day 9 AM)
Core Concepts of an Automation
🔹 Filter / Logic
Should we proceed or not?
Examples:
• If marks > 80 Send certificate
→
• If payment = success Grant access
→
Core Concepts of an Automation
🔹 Actions(Apps)
Lets Now perform tasks
Examples:
• Send Email
• Add row to Google Sheets
• Send WhatsApp message
• Call API
First N8N Automation
Smart AI Support Assistant
What are the latest AI trends in 2026?
Which one is best for startups?
AI Agent with Memory + Web Search
Lets Code without coding
THE AUGMENTED
LLM
THE PROMPT CHAINING WORKFLOW
THE ROUTING WORKFLOW
THE PARALLELIZATION
WORKFLOW
THE ORCHESTRATOR-WORKERS
WORKFLOW
THE EVALUATOR-OPTIMIZER
WORKFLOW
PRUDHVI
NARAYANA
Data & AI Engineer @TCS Applied Research
Databricks Certified Data Engineering Professional , Expert Data Scientist @kaggle
• Winner of 4th IEEE GRSS Student Grant Challenge (8000 USD) , Brisbane City,
Australia
• Finalist of India OPEN GSI Hackathon, NVIDIA (Represented TCS At Global Stage)
• Reviewer for IEEE and Several Scopus Journals(Wiley, PLOS ONE,EJRS)
@iam_an_outlier
BANDARU