Coding and Programming with AI

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AI for Enterprise Automation

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19 Oct/25
Scenario: You manage enterprise workflows involving multiple systems—databases, CRMs, reporting tools, and analytics platforms. AI can help automate repetitive enterprise tasks, streamline data flows, and generate actionable outputs without manual intervention. Step 0: Define Your Goal Example workflow: Goal: Use AI to write scripts or design workflows that automate these…
create an ai robot image Control the Output – Temperature, Tokens, and System Messages (Practical)

Workflow Orchestration Tools — With AI

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19 Oct/25
Scenario: You are managing a complex project where multiple scripts, APIs, and services must work together in sequence or in parallel. Instead of manually triggering each step, your AI assistant can help you design, automate, and optimize multi-step workflows using orchestration tools. Step 0: Define Your Goal Example workflow: Goal:…
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Debugging Multi-Agent Workflows — Guided Lab

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19 Oct/25
Scenario: You are working on a project where multiple AI agents or scripts interact—for example, one agent handles data collection, another processes it, and a third generates reports. Occasionally, the workflow breaks or produces unexpected results. AI can help you debug multi-agent workflows efficiently. Step 0: Define Your Goal Example…
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Coding Best Practices Guidance — Guided Lab

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19 Oct/25
Scenario: You’re writing Python code for multiple projects, but you want to ensure it is readable, maintainable, and follows industry best practices. Your AI assistant can analyze your code, suggest improvements, and provide coding standards guidance. Step 0: Define Your Goal Example Python function: Goal: Step 1: Craft the AI…
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