GrowNow360

GrowNow360 Academy

Learn the AI skills that turn ideas into working systems.

Practical training in agentic AI, automation, and AI-assisted software building. Students leave with workflows, working projects, and the judgment to use AI tools responsibly.

Flagship courses

Two tracks for the new builder economy.

The Academy is designed for people who want applied capability: not AI theory alone, and not shortcut demos that break when the real work starts.

Course 01

Agentic AI Mastery

Build agents that can reason through tasks, use tools, retrieve knowledge, hand work between specialized roles, and stay measurable through traces, logs, and evaluations.

Agent design patterns Prompt and instruction systems Tool calling and workflow automation RAG and knowledge bases Evaluation, safety, and governance

Learning model

Built around labs, not lectures.

Every concept becomes a workflow students can reuse: a prompt pattern, a test harness, a repo habit, a deployment checklist, or an automation template.

Module 01

AI foundations for operators

How modern models reason, use context, call tools, and fail in real workflows.

Module 02

Agentic workflow design

Task decomposition, tool boundaries, memory, approvals, and human-in-the-loop checkpoints.

Module 03

AI coding practice

Using Codex and Claude Code to inspect repos, write features, run tests, and review changes.

Module 04

Capstone build

Students ship a real agent, app, automation, or internal tool with a review-ready demo.

Agentic AI curriculum

Students learn how agents actually work in business environments.

An AI agent is useful when it has a clear job, access to the right tools, enough context to make progress, and the right approval points. The Academy teaches those patterns through practical labs instead of abstract theory.

Agent design

Students define the agent role, success criteria, inputs, outputs, constraints, escalation rules, and human review points.

Lab
Design a research, sales, support, or operations agent from a real workflow.

Tool use and automation

Students learn how agents call tools, run workflows, pass data between systems, and avoid excessive autonomy.

Lab
Connect an agent to documents, forms, CRM-style records, email drafts, or task lists.

RAG and knowledge bases

Students build retrieval workflows that bring the right source material into the model context before it answers.

Lab
Create a small knowledge system with documents, citations, quality checks, and answer review.

Vibe coding depth

Codex and Claude Code become a repeatable build process.

Students learn how to brief an AI coding agent, inspect a repo, split work into safe tasks, review generated changes, run tests, and ship. The goal is not blind trust in AI. The goal is better product judgment with faster iteration.

Plan the build Write specs, acceptance criteria, user flows, implementation constraints, and test expectations.
Guide the agent Use Codex and Claude Code to inspect the codebase, make scoped edits, and explain tradeoffs.
Review the output Read diffs, identify risky assumptions, run checks, fix regressions, and preserve user-owned changes.
Ship responsibly Use Git, pull requests, staging reviews, deployment habits, and post-launch improvement loops.

Who it is for

Training for people who need AI to do real work.

Founders

Prototype faster

Turn product ideas, landing pages, automations, and internal systems into testable builds.

Marketers

Operate smarter

Use AI for research, content systems, campaign workflows, reporting, and personalized automation.

Teams

Create shared habits

Teach a common language for prompts, specs, reviews, approvals, and AI-assisted delivery.

Developers

Ship with agents

Use AI agents to navigate code, reduce repetitive work, improve tests, and review changes.

Frequently asked questions

Academy questions students and teams ask first.

Who is GrowNow360 Academy for?

The Academy is for founders, marketers, operators, developers, students, and teams that want hands-on AI skills for real workflows.

Do students need to be advanced programmers?

No. The Agentic AI track works for business operators and technical teams. The Vibe Coding track is more technical, but it starts with practical workflows and guided build habits.

What is taught in Agentic AI Mastery?

Students learn agent design, tool calling, workflow automation, RAG, evaluation, safety, governance, and human approval patterns.

What is Vibe Coding with Codex and Claude Code?

It is a practical course for using AI coding agents to plan, build, test, debug, review, and ship working software faster.

Enroll or host a cohort

Bring the Academy to your team, school, or creator community.

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