No-Code AI Agents for Enterprise WorkflowsPublished 7/2026
MP4 |
Video: h264, 1920x1080 |
Audio: AAC, 44.1 KHz, 2 Ch
Language: English |
Duration: 4h 33m |
Size: 1.22 GB
Build secure, governed, multi-agent automations across CRM, ERP, and ticketing - without writing code
What you'll learnBuild autonomous no-code AI agents that complete multi-step business workflows end to end
Connect agents to enterprise systems - CRM, ERP, and ticketing - through APIs and connectors
Authenticate agents safely with OAuth, API keys, and service accounts under least-privilege
Design multi-agent architectures using supervisor, sequential, and parallel orchestration patterns
Choose between no-code platforms - n8n, Make, Power Automate, Copilot Studio, Glean - with a buyer's eye
Build five real workflows: invoice processing, ticket triage, lead routing, onboarding, support deflection
Protect sensitive data and meet GDPR and India DPDP obligations in automated agent workflows
Add audit trails, human-in-the-loop approvals, and guardrails so agent actions are accountable
Defend agents against prompt injection and govern the shadow AI spreading across your teams
Monitor, evaluate, and cost-control agents as production systems with clear ownership and SLAs
Lead enterprise adoption of AI agents and decide build versus buy with real numbers
RequirementsComfort with everyday business tools (spreadsheets, email, a CRM or ticketing system) - no coding needed
No programming or data-science background required; every tool is taught for practitioners, not engineers
Access to a free n8n or Make account helps you build along, but isn't required to follow the lessons
A real workflow from your own job in mind - you'll design an agent for it in the capstone
DescriptionThis course contains the use of artificial intelligence.
AI is used to reframe the words, fixing spelling mistakes and grammatical mistakes and audio conversion.
Everyone is building AI agents. Almost nobody is building them for a real enterprise - where the agent must touch Salesforce, respect access controls, leave an audit trail, and not leak a customer's data. This course is about that harder, more valuable problem: no-code AI agents that actually survive contact with a large organisation. It is written for operations managers, business analysts, process improvement specialists, and IT professionals who have to automate complex, multi-step work across systems that were never designed to talk to each other. You will learn what an enterprise AI agent really is - and is not - then build real ones with no code: connecting agents to CRM, ERP, and ticketing tools through APIs and connectors, authenticating them safely, and orchestrating several agents together to run a workflow end to end. You will build along with five concrete workflows, from invoice processing to IT ticket triage to customer support deflection.
Then comes the part generic agent courses skip entirely: making it safe to run in a company. Least-privilege access, protecting sensitive data under GDPR and India's DPDP Act, audit logs, human-in-the-loop approvals, defending against prompt injection, and governing the shadow AI already spreading across your teams. You will finish able to monitor, evaluate, and cost-control agents like the production systems they are. Every technique comes with one global, dollar-based example and one India, rupee-based example, so the trade-offs feel real wherever your enterprise sits. I have spent more than twenty years getting automation adopted in real, messy operations - not installed in a demo, adopted on the floor. This course is the honest bridge between the agent hype and an automation your security team will actually approve. Enrol now and build agents the enterprise can trust.
Who this course is forOperations managers automating multi-step work across disconnected enterprise systems
Business analysts and process improvement specialists looking to deploy AI agents safely
IT professionals asked to support, secure, or govern no-code AI agents in the enterprise
Team leads who want to stop their people doing repetitive cross-system work by hand
Project and transformation managers building the case for agent automation with real numbers
Anyone moving from simple Zapier-style automations to real multi-agent enterprise workflows
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