Agentic Workflows with Cursor

Move from using Cursor as a smarter editor to running it as an orchestration layer. Covers agent mode in depth, background and cloud agents, parallel execution across git worktrees, persistent rules, MCP integration, and event-triggered automations that run without you sitting there.

cursor-agentic-workflows-training

Intermediate

Artificial Intelligence

3 Days

Artificial Intelligence

artificial-intelligence

Online
On-site
Hybrid

Agentic Workflows with Cursor

Move from using Cursor as a smarter editor to running it as an orchestration layer. Covers agent mode in depth, background and cloud agents, parallel execution across git worktrees, persistent rules, MCP integration, and event-triggered automations that run without you sitting there.

Duration:
3 Days
Rating:
4.8/5.0
Level:
Intermediate
1500+ users onboarded

Who will Benefit from this Training?

Training Objectives

Build a high-performing, job-ready tech team.

Personalise your team’s upskilling roadmap and design a befitting, hands-on training program with Uptut

Key training modules

Comprehensive, hands-on modules designed to take you from basics to advanced concepts
Download Curriculum
  • The Cursor Agent Surface
    1. Tab, Composer, agent mode and background agents compared
    2. The agents view as a single place to see local, cloud and remote work
    3. Model selection per task and what changes when you switch
    4. Usage pools and credit consumption: what actually burns budget
    5. Choosing the lightest surface that solves the problem in front of you
  • Agent Mode in Depth
    1. How the agent reads the codebase, plans and iterates toward a result
    2. Terminal execution, test runs and self-correction loops
    3. Approving, interrupting and redirecting a run in progress
    4. Diff review discipline before anything lands
    5. Hands-on: deliver a multi-file feature end to end in agent mode
  • Writing Delegations That Complete
    1. Intent, scope and explicit stop conditions in a delegation
    2. Defining success criteria the agent can check for itself
    3. Decomposing large work into units an agent can finish
    4. Diagnosing a run that produced unusable output and correcting the brief
    5. Hands-on: rewrite a failed delegation until it succeeds
  • Rules and Persistent Context
    1. Project rules as the mechanism for encoding team standards
    2. Agent instruction files and how they layer with rules
    3. Scoping rules to directories, file types and specific work
    4. Keeping rules short enough that the important parts still land
    5. Hands-on: author rules for your own repository and test the effect
  • Background and Cloud Agents
    1. Sending work off-machine to run in an isolated sandbox
    2. What background agents can and cannot reach
    3. Receiving output as a pull request rather than a working directory
    4. Deciding what is worth delegating asynchronously
    5. Hands-on: dispatch a background agent and review what comes back
  • Parallel Agents and Git Worktrees
    1. Running multiple agents on separate parts of a codebase simultaneously
    2. Git worktrees for isolation and why they prevent most collisions
    3. Splitting work so parallel agents do not fight over the same files
    4. Merge strategy and handling conflicting agent output
    5. Review throughput as the real constraint on parallelism
  • Extending Cursor with MCP
    1. Model Context Protocol fundamentals in a Cursor context
    2. Connecting internal APIs, documentation and databases
    3. Credential handling, scoping and least privilege
    4. Interactive MCP surfaces inside agent conversations
    5. Hands-on: connect an MCP server and complete a task through it
  • Automations and Event-Triggered Agents
    1. Triggering agents from issue trackers, chat, version control and webhooks
    2. Designing always-on automations that do not create noise
    3. Guardrails, approval steps and human-in-the-loop checkpoints
    4. Monitoring automated agents and catching silent failure
    5. Knowing when an automation is costing more than it saves

Hands-on Experience with Tools

Training Delivery Format

Flexible, comprehensive training designed to fit your schedule and learning preferences
Opt-in Certifications
AWS, Scrum.org, DASA & more
100% Live
on-site/online training
Hands-on
Labs and capstone projects
Lifetime Access
to training material and sessions

How Does Personalised Training Work?

Skill-Gap Assessment

Analysing skill gap and assessing business requirements to craft a unique program

1

Personalisation

Customising curriculum and projects to prepare your team for challenges within your industry

2

Implementation

Supplementing training with consulting support to ensure implementation in real projects

3

Why this course

  • Orchestration, not autocomplete: Run several agents across a codebase instead of driving one suggestion at a time.
  • Work that continues without you: Background and event-triggered agents that produce reviewable output while you do something else.
  • Context that persists: Rules and project instructions so every agent run follows your team's standards.
  • Honest about the ceiling: Clear on where parallelism helps and where review load becomes the real bottleneck.

Training objectives

  • Distinguish Tab, Composer, agent mode and background agents, and choose between them
  • Operate the agent loop including terminal execution, guardrails and steering
  • Write delegations with clear intent, scope and stop conditions
  • Encode persistent context using project rules and agent instruction files
  • Run background and cloud agents and review the pull requests they produce
  • Execute parallel agents across git worktrees without collisions
  • Extend Cursor with MCP servers connected to internal systems
  • Configure event-triggered automations with appropriate guardrails

Who will benefit

  • Software developers already using AI coding tools
  • Tech leads and engineering managers
  • Platform and DevOps engineers
  • Architects evaluating agentic development at team scale

Lead the Digital Landscape with Cutting-Edge Tech and In-House " Techsperts "

Discover the power of digital transformation with train-to-deliver programs from Uptut's experts. Backed by 70,000+ professionals across the world's leading tech innovators.

Frequently Asked Questions

1. What are the pre-requisites for this training?
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The training does not require you to have prior skills or experience. The curriculum covers basics and progresses towards advanced topics.

2. Will my team get any practical experience with this training?
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With our focus on experiential learning, we have made the training as hands-on as possible with assignments, quizzes and capstone projects, and a lab where trainees will learn by doing tasks live.

3. What is your mode of delivery - online or on-site?
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We conduct both online and on-site training sessions. You can choose any according to the convenience of your team.

4. Will trainees get certified?
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Yes, all trainees will get certificates issued by Uptut under the guidance of industry experts.

5. What do we do if we need further support after the training?
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We have an incredible team of mentors that are available for consultations in case your team needs further assistance. Our experienced team of mentors is ready to guide your team and resolve their queries to utilize the training in the best possible way. Just book a consultation to get support.

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