AI Accelerator Program
Building Generative AI Systems with No-Code (Using n8n)
Ashwin Goyal
AI Product Manager
HRS GroupArpit Jain
Lead Architect
Mavenir
About the Course
This is a practical, hands-on program focused on transitioning from basic, linear automation tools to designing, building, and deploying production-grade, autonomous AI systems.
The curriculum is use-case driven. Rather than just learning features, you will anchor your learning by building end-to-end workflows—starting with advanced API data pipelines and moving into LLM-powered data extraction, Retrieval-Augmented Generation (RAG), and autonomous AI agents.
Finally, you will design robust multi-agent systems and learn how to enable observability, error handling, and scalable deployment in n8n. By the end of this course, you will have a clear mental model, practical experience, and the architectural intuition to confidently deploy advanced agentic workflows.
Prerequisites
Basic understanding of APIs and JSON data structures. Curiousity to build real-world AI and automation systems. No strict coding experience is required, but an analytical engineering mindset is helpful.
Tools & Platforms
- Framework: n8n (Cloud or Self-Hosted)
- LLMs: OpenAI API (GPT-4o), Anthropic (Claude 3.5 Sonnet)
- Vector Databases: Pinecone or Supabase
- External Integrations: Slack, Discord, Telegram, Google Sheets, PostgreSQL (Mock)
Meet Your Instructors
Ashwin Goyal is an AI Product Manager at HRS Group, where he leads the Copilot initiative for business travel and manages recommendation engine, rebooking, and intelligent lodging products used by more than 30% of Fortune 500 companies. Over the past few years, he has focused on building agentic and generative AI products, along with data-driven fintech solutions that directly impact revenue and profitability for high-scale businesses and global enterprises.
His work sits at the intersection of product, analytics, and AI. He brings hands-on experience in building AI systems using agents, RAG architectures, and AWS Bedrock, combined with strong product analytics and full lifecycle ownership. He has led products from early problem discovery and PRD creation through launch, go-to-market, and continuous iteration, collaborating closely with engineering, design, data science, and business teams to deliver scalable and commercially impactful solutions.
Arpit Jain is a Lead Architect at Mavenir, where he designs scalable telecom software solutions that power modern networks. With over 15 years of leadership experience, he has driven strategic transformation across banking, supply chain, e-commerce, and manufacturing using AI, generative AI, and advanced analytics to create measurable competitive advantage.
He has led more than 100 high-impact initiatives aligned with core business goals, translating complex data into clear strategic action. His strength lies in architecting AI-driven decision frameworks that help organizations move from insight to execution improving growth, operational efficiency, risk management, and customer retention.
A globally recognized leader in strategy-led innovation, Arpit has spent over a decade guiding C-suite executives and teams in applying AI and emerging technologies to real business problems. He currently leads the development of a next-generation strategic intelligence platform powered by AI, real-time data streams, and autonomous decision engines enabling continuous monitoring, predictive intervention, and dynamic strategy optimization at scale.
Who Should Enroll
- Product Managers, AI Product Leaders, and Startup Founders
- Software Engineers transitioning into GenAI orchestration
- Automation Specialists and Business Process Analysts
- Solution Architects & Technical Consultants
Data Professionals & Developers
Seeking hands-on Agentic AI experience with LangGraph & LangChain
ML & GenAI Practitioners
Strengthening portfolios with end-to-end projects
Business Professionals
Applying GenAI & Agentic AI to real-world business problems
Key Features
Live Sessions
4 hours/week
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Projects
10+ Guided Projects
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Assignments
5 Mini-Project Assignments
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Cohort Experience
Discussion forum
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Office Hours
Weekly discussions & QA
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Recordings
Lifetime access
Resources
All session materials
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Certification
Course completion certificate
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Course Curriculum
12 Live Sessions • 24 Learning Hours • 10+ Guided Projects
Week 1Foundations of n8n & Visual Engineering
28 Mar – 3 Apr 2026
The goal is to master the core mechanics of n8n before introducing AI, ensuring students understand how data flows through a visual architecture.
Foundations of n8n & Visual Engineering
28 Mar – 3 Apr 2026
The goal is to master the core mechanics of n8n before introducing AI, ensuring students understand how data flows through a visual architecture.
28 Mar · 2:30-4:30 PM UTC
Introduction to n8n and Core Mechanics
- Understand Triggers, Actions, and the flow of JSON data.
- Learn to authenticate and chain APIs securely.
- Guided Project 1: Building a basic data pipeline (Webhook to CRM via HTTP Requests).
29 Mar · 2:30-4:30 PM UTC
Advanced Logic, Routing, and Data Manipulation
- Use Switch, If, and Merge nodes, alongside basic JavaScript for data transformation.
- Guided Project 2: An automated weather/news alert system with conditional logic routing.
- Mini-Assignment 1: Build a multi-branch workflow that categorizes incoming webhooks based on payload data and sends different Slack notifications.
2 Apr · 2:30-3:30 PM UTC
Week 1 Recap & Discussion (Optional)
Join in to discuss and ask any questions on the content or projects covered in Week 1.
A Message from the Founder
The Vision Behind AI Accelerator Program
Frequently Asked Questions
The AI Accelerator Program is a short, live, cohort-based, instructor-led program designed to upskill professionals in AI through hands-on learning. Within this program, we offer specialized tracks, such as Building and Evaluating Agentic AI Systems, where you'll focus on mastering specific AI skills. You'll learn live with a small group, interact directly with the instructor, and work on real-world projects rather than just watching pre-recorded videos.
This program lasts for 6 weeks, with 4 hours live sessions and 1 hour optional office hour per week, making it manageable alongside your regular job.
Yes, the program includes 10 guided projects and 5 assignments. Each week, projects will be guided, and solutions for assignments will be provided during office hours. You’ll receive feedback, clarification, and support to ensure you stay on track throughout the program.
It’s fully live. All sessions are conducted in real time on Zoom, with fixed schedules and active participation expected.
Yes! Upon successful completion of all assignments, you’ll receive a Certificate of Achievement. This certificate validates your hands-on expertise in applying AI concepts in practical settings.
Absolutely! This particular program is designed to equip you with the skills to build Generative AI systems using No-code tools, which you can immediately apply to your current projects or job responsibilities.
If you miss a live session, don’t worry! You’ll receive the recordings and resources used in the session as downloadable files, which you can keep and watch at your convenience. You’ll have 1 month to download the recordings and resources from the date the link is shared. However, we encourage you to attend live to maximize engagement and learning.
Yes, we offer a 7-day money-back guarantee. The 7-day period starts on Day 1 of your cohort and ends one day before the third live session. If you’re not satisfied with the program within this window, you can request a refund by contacting our support team at [email protected]. T&Cs.
While the schedule and curriculum are typically fixed, in exceptional circumstances, there may be adjustments. Any changes will be communicated in advance, and we’ll ensure that they don’t affect the core learning objectives. Our main goal is to provide you with a seamless, hands-on learning experience, and we’ll work to maintain that, no matter the adjustments.
