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After-Office-Friendly Timing Evening classes to ensure minimal disruption to work. Exact timings confirmed per intake.
60% Self-Paced Learning (Foundation Layer) You will learn core concepts, tool fundamentals, and pre-class preparation through structured self-paced materials. This ensures every learner starts live sessions with the same base understanding.
40% Live Training (Applied Layer) Live sessions focus on doing the work — workflow builds, agentic frameworks, demonstrations, problem-solving, and project discussions. This enhances practical understanding without depending on coding.
AI Layering Across All Tracks All content follows our organisation-wide model of AI integration: GenAI + Agentic AI applied across Data Analytics, Data Science, Data Engineering, and MLOps. Ensures every learner meets new industry expectations.
Basic Modules Default to Self-Paced Foundational topics such as Python, SQL, EDA, Excel follow a self-paced structure unless otherwise specified. Professional modules remain live and interactive for real-time learning.
AI-Powered Reporting Automation Generate weekly/monthly reports automatically using LLM pipelines, structured prompts, and workflow triggers.
Customer Support Response Workflow Build an AI workflow that reads queries, drafts responses, and updates communication templates.
HR / Leave / Attendance Automation Automate document preparation, summaries, and communication tasks commonly handled by HR coordinators.
Finance Reconciliation & Documentation Flow Create an AI-driven routine to process invoices, generate summaries, check mismatches, and prepare reconciliation drafts.
Multimodal Vision + Text Workflow Use GenAI to process documents, images, and screenshots — extract insights, classify items, and produce outputs.
Communication & Email Automation Loop Design workflows that draft emails, recap meeting notes, prepare follow-ups, and send structured updates.
Custom GPT / AI Assistant Design Build a personalised assistant for your use case using tools like OpenAI, Claude, Gemini, Cursor, or Perplexity API.
Multi-Step Agentic Workflow Create a multi-agent scenario that completes a multi-step process from input to output with minimal supervision.
Nahin S AI & Data Analytics Coach Expert in workflow automation, applied GenAI, data storytelling, and enterprise reporting frameworks. Leads hands-on sessions and specialises in simplifying AI concepts for non-technical learners.
Sreeja D. AI & Data Engineering Coach Specialises in AI integration, data pipelines, and practical implementation of LLM-based tools. Brings strong experience in corporate training and real-world use cases across industries.
Vibin K AI & Data Analytics Coach Focuses on real-world process automation using LLMs, agentic tools, and multi-step workflows. Known for practical teaching style and applied demonstrations tailored for working professionals.
Practical, No-Code Workflow Automation Most courses teach prompts. AGAI teaches you how to automate real tasks and build AI-powered processes end-to-end.
Multi-Tool, Multi-Model Learning Work with real industry tools: OpenAI, Claude, Gemini, Perplexity API, Cursor, Autogen Studio, LangFlow, Vector Databases, plus workflow apps like n8n and Power Automate.
Designed for All Job Roles (Non-Tech Friendly) From HR coordinators to managers to operations and finance teams — AGAI builds skills you can apply immediately at work without coding.
Direct Pathway to SUNY USA (With No Extra Fee) Learners who complete AGAI + GAIL receive the internationally recognised SUNY USA GenAI & Prompt Engineering Certificate — at no additional cost.
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You will get updates on your WhatsApp. You'll get access to your program on this email. I agree with the terms and conditions
You will get updates on your WhatsApp. You'll get access to your program on this email. I agree with the terms and conditions