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May the Agentforce Be With You

epic60 APAI salesforce.trailhead

You design, build, and deploy Agentforce agents within Salesforce, configuring the topics, actions, and guardrails that shape their behaviour. You connect what an agent can do to the business process it is meant to support. The agent can take action; you made sure it has boundaries first.

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Earn the Salesforce Certified Agentforce Specialist certification.

Certification: Salesforce Certified Agentforce Specialist

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590 achievements · showing 1-48

Agents All the Way Down microsoft.learn

You design enterprise-grade AI systems that coordinate Copilot, autonomous agents, and business applications. You connect orchestration decisions to the wider business architecture rather than treating each agent as an isolated experiment. You don't just use AI; you design the systems that tell it what to do.

Coffee's for Closers microsoft.learn

You design and configure AI-enhanced sales solutions in Dynamics 365 using Copilot, predictive insights, guided automation, and agents. You connect these capabilities to the lead-to-cash process so sellers have useful guidance at each stage. The CRM now tells you exactly who to call; you still have to actually call them.

AI Phones Home microsoft.learn

You design and implement AI-powered contact centre solutions in Dynamics 365, connecting workstreams, channels, and routing with self-service agents. You also shape representative experiences and supervisor analytics so the service works for the people operating it. The hold music is still terrible, but at least the routing is smart now.

Can We Build It? Yes, AI Can microsoft.learn

You design and build AI-powered solutions on Microsoft Power Platform using Copilot, natural-language prompts, low-code tools, Dataverse models, and cloud flows. You connect the data and automation behind the interface so the result is more than a convincing demo. You point, you prompt, and somehow a working app falls out the other end.

Copilot Studio: It's Giving Main Character Energy microsoft.learn

You design integrated AI solutions and autonomous agents in Copilot Studio, connecting tools, knowledge sources, and triggers to business workflows. You define how the pieces work together, then watch your creation do exactly what you told it to do, which is terrifying and wonderful in equal measure.

Working 9 to AI microsoft.learn

You use Microsoft 365 Copilot across everyday business workflows, from meeting preparation and document drafting to the emails you should have just not sent. You turn useful prompts into useful work while checking the result before passing it on. The AI helps; the judgement is still on you.

Change Management, But Make It AI microsoft.learn

You guide organisations through AI adoption by connecting strategy, culture, governance, and practical business change. You work through the human side of transformation as carefully as the technology, including convincing people the robots are not their enemies. Spoiler: they are not. Mostly.

I Have a Copilot Now microsoft.learn

You understand how Microsoft 365 Copilot uses organizational data, how administrators configure access, and how AI agents fit into a governed tenant. You can explain the deployment choices without confusing a helpful assistant with an unrestricted account. The AI is here; you filed the ticket.

Action Figure microsoft.learn

You automate repository workflows with jobs, triggers, and reusable steps that connect code changes to builds and releases. You understand why a workflow runs and what access it needs, rather than copying a green check from another project. At least one workflow name still deserves a private explanation in code review.

Agent of Change (2025) salesforce.trailhead

You took your first strides into autonomous agent workflows, wiring Agentforce into daily business automations. The journey from curious admin to agent builder has officially begun.

Agent of Change (2026) salesforce.trailhead

You took your first strides into autonomous agent workflows, wiring Agentforce into daily business automations. The journey from curious admin to agent builder continues into 2026.

Agentic and Proud (2025) salesforce.trailhead

You design, test, and deploy autonomous Agentforce agents across real enterprise workflows. Prompts and actions blend seamlessly, and the robots actually listen to your instructions.

Agentic and Proud (2026) salesforce.trailhead

You design, test, and deploy autonomous Agentforce agents across real enterprise workflows. Prompts and actions blend seamlessly, and your 2026 agent fleet is operating smoothly.

Blazer of Glory (2025) salesforce.trailhead

You architect enterprise-scale autonomous agents with complex reasoning loops and custom action integrations across Salesforce. Pushing autonomous decision-making into core business processes requires deep governance and zero panic when an agent takes the wheel. You don't just build the fleet; you lead the entire agent frontier.

Blazer of Glory (2026) salesforce.trailhead

You architect enterprise-scale autonomous agents with complex reasoning loops and custom action integrations across Salesforce. Pushing autonomous decision-making into core business processes requires deep governance and zero panic when an agent takes the wheel. You pushed the boundaries of enterprise agent design all through 2026.

Ground Control to Agent Tom microsoft.learn

You deploy, integrate, and govern AI agents across production software workflows, using GitHub to coordinate their work. MCP tools, output evaluation, and multi-agent orchestration need clear boundaries as well as useful capabilities. Someone has to supervise the fleet when an agent discovers that 'do the task' leaves room for interpretation.

I Have an Army (of Agents) microsoft.learn

You build AI-powered applications and autonomous agent systems on Azure, connecting models, tools, and application logic into coordinated workflows. You plan how agents hand work to one another and how the application handles an unsuccessful attempt. 'We have a Hulk' is impressive; you have a multi-agent pipeline and a retry policy.

It Just Works (With Enough Tokens) microsoft.learn

You design and build AI-enabled cloud applications using Azure's developer toolchain and AI services. You turn model interactions into application features and carry those features through implementation and deployment. Todd Howard promised it would work; you actually shipped the proof.

The Model Must Flow microsoft.learn

You automate machine learning training pipelines, model deployment, and monitoring on Azure. You connect those stages into repeatable workflows so a successful experiment can become a service that keeps running. The spice must flow; in your pipeline, so does the gradient.

The Good, the Bad, and the Agentic microsoft.learn

You design and optimise multi-agent workflows on Microsoft Foundry, coordinating specialised agents and the handoffs between them. You make the whole system work as a coherent solution rather than a collection of independent prompts. There are two kinds of agents in this world, friend: those that hand off clean, and those that dig. Yours dig straight to production.

Knows Where the Edges Are anthropic.academy

You know what models genuinely do well, where they quietly fall over, and you have stopped asking the chatbot to count the letters in strawberry.

Move Fast, Break Nothing anthropic.academy

You ship with AI in the loop, delegate the grunt work, and still keep enough judgment on the wheel that nothing lands in prod that you did not mean to send.

The Muse Has a Context Window anthropic.academy

You can decide where AI belongs in your creative process and where your own judgment should take the lead. Inspiration now comes with a conversation history.

Class Act anthropic.academy

You put AI to work in your teaching without letting it do the thinking for anyone, and you model the responsible use you ask your students for.

Fluent in Four Dimensions anthropic.academy

Delegation, Description, Discernment, Diligence: the 4D framework for working with AI responsibly, and you can name all four without peeking.

Doing Well by Doing Good anthropic.academy

You stretch a small budget and a big mission further with AI in the mix, and you spend the hours it saves on the work that actually needs a human.

No Child Left Unprompted anthropic.academy

You bring Claude into the classroom the responsible way, teach kids to think with AI instead of hiding behind it, and somehow keep thirty of them on task at once.

Mom-and-Pop Prompt Shop anthropic.academy

You bring practical AI workflows to teams without an innovation department, and the bakery's social posts have never looked better.

Show Your Work anthropic.academy

You use AI to actually learn the material instead of outsourcing it, and you can still explain how you got the answer when someone asks.

Trias Agentica outskill.it

Azure AI Fundamentals, GCP Generative AI Leader, and AWS AI Practitioner. You've triangulated AI across all three clouds and emerged with three distinct opinions about tokens, embeddings, and billing.

Foundation: Laid, AI: Understood credly.profile

You understand artificial intelligence concepts, terminology, and practical applications across business and technical contexts. You can distinguish the ideas behind different approaches and explain where they fit without relying entirely on the latest buzzwords. You now know what a neural network is and can explain it without the hand-wavy 'it's like a brain' bit.

Pinned to the Fridge outskill.it

Installed to a home screen. outskill.it now sits between your banking app and a food delivery app you have opened once, holding its own, entirely free of address bar.

Westworld credly.profile

You build, orchestrate, and govern autonomous AI agents across AWS services, proving your architecture under a timed live-sandbox clock. Designing reliable tool-calling and evaluation loops takes precedence over wishful prompt engineering. You didn't just read about AI agents; you actually made them do things.

Return on Inference credly.profile

You connect AI use cases to business objectives, build a case for investment, and explain the tradeoffs behind the spend. You can separate an interesting demonstration from a proposal with a practical purpose and say 'it depends on the use case' with total conviction. Not one line of code.

More Than Meets the AI credly.profile

You understand the foundations of artificial intelligence, machine learning, and generative AI in the AWS ecosystem. You can connect those concepts to practical use cases and explain what the different approaches are meant to achieve. You know the difference between ML and AI, and you only have to think about it for a second before answering.

Mesh Ado About Nothing credly.profile

You configure application load balancers, VPC lattice topologies, and cross-account traffic routing under timed lab conditions. Keeping packet flows resilient means knowing how to troubleshoot routing tables before a dropped connection escalates into an incident. Routing tables fear you, and latency is merely a suggestion.

Buzzword Compliant credly.profile

You understand the AWS cloud's core services, shared responsibility, security concepts, and pricing models. You can explain why a business might move a workload without pretending every migration is automatically cheaper. The cloud is not just someone else's computer, although there is definitely someone else's computer involved.

On Call of Duty credly.profile

You monitor and maintain AWS workloads, investigate alarms, and connect routine operations to availability and security requirements. Patching, configuration, and recovery need a plan before the inconvenient hour arrives. The cloud keeps running because somebody understands the alerts, and this time that somebody is you.

Glue Is in the Details credly.profile

You ingest, transform, and orchestrate data across AWS with Glue, Kinesis, S3, and the rest of the pipeline. The data arrives, the jobs run, and the dashboard says everything is fine, which is when you check the logs.

Iceberg Right Ahead credly.profile

You diagnose query failures and stitch together Athena, Glue, Apache Iceberg, and Lake Formation into a functioning analytical tier. Partitioning data and managing table formats against a live clock separates real practitioners from slide decks. You steered the whole lake around it.

Look At My Hose, My Hose Is Amazing credly.profile

You troubleshoot real-time streaming pipelines across Kinesis, MSK, Data Firehose, and Managed Apache Flink while the clock is running. Managing backpressure and shard saturation in production means the data never backs up. The records never stopped arriving and neither did you.

A Dashboard With a View credly.profile

You build, secure, and troubleshoot analytics dashboards across Athena, Redshift Serverless, and QuickSight. Connecting calculated fields to performant underlying datasets ensures stakeholders get answers without crashing the cluster. You made the numbers legible to people who only look at the big one.

Rollback Mountain credly.profile

You wire up Lambda, API Gateway, and DynamoDB before lunch, remember your timeouts without being asked, and have watched a stack roll itself all the way back at 4:59 on a Friday.

DevOps Emissary credly.profile

You build AWS delivery and operational workflows that make releases repeatable and infrastructure easier to maintain. You connect automation to monitoring and recovery so a successful deployment is not the last useful event in the pipeline. The things that used to wake people up now have a procedure instead of an audience.

Speak, Friend, and Inference credly.profile

You build applications around foundation models on AWS, connecting model inputs and outputs to useful software workflows. You turn generative capabilities into application behaviour rather than leaving them in an isolated prompt window. You can explain what a token is without a whiteboard, though the billing conversation may still require one.

The Calm Before the Postmortem credly.profile

You detect, isolate, and remediate security incidents inside live AWS infrastructure under timed pressure. Tracing adversary movements through CloudTrail and rotating compromised keys demands muscle memory over theory. You have practiced being the person everyone desperately calls at two in the morning.

The Model Has Left the Building credly.profile

You bring machine learning workloads into production with SageMaker, connecting the model to a repeatable deployment and a service that can be operated. An endpoint needs more than a successful notebook behind it. You keep it useful after launch without making the on-call phone part of the training loop.

Ops! I Trained It Again credly.profile

You deploy foundation models, manage fine-tuning pipelines, configure endpoint autoscaling, and wire up model observability in SageMaker. Packaging artifacts and monitoring drift under a timed lab clock proves your deployment works when it counts. You shipped the model, watched it misbehave in production, and retrained it: the circle of MLOps life.