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Agentic Software Development Engineer Course

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Agentic Software Development Engineer Course in Sweden

Agentic Software Development Engineer Program in Sweden

Build real-world Agentic SDE skills to direct AI agents, verify code, and ship software.

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Join 35 hours of live interactive training
Build skills through an 11-module learning path
Practice with LLMs, agent loops, tools, and AI coding agents
Learn context engineering and spec-driven development
Work with skills, sub-agents, MCP, and parallel agents
Complete a real-repository capstone from start to end

Our Key to Exam and Career Success

Guaranteed to Run Workshops

Expert-Led Study Sessions

Networking Opportunities

Flexible Monthly Payment Plans

Real-World Case Studies

Hands-On Project Experience

Group/Corporate Training

Empower teams through training

skill up your team

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Course overview Benefits Prerequisites Curriculum Schedules FAQs Contact Course Advisor

Course Overview

Overview of the Agentic Software Development Engineer Program

The Agentic Software Development Engineer program helps engineers transition from writing code by hand to directing, reviewing, and verifying AI-generated software development. The program includes LLMs, agentic loops, context engineering, spec-driven development, agent orchestration, verification, governance, and real project delivery. You learn how to work with tools, memory, and feedback to plan, act, observe, and reflect. The learning path includes hands-on labs, real repositories, live agents, checkpoints, and a capstone. It also covers reusable skills, sub-agents, MCP, context-window management, and workflows that take software from a specification to a verified, deployable product.

What is the Agentic Software Development Engineer Program?

The Agentic Software Development Engineer program focuses on a new paradigm of software development where AI agents can take over larger parts of the development loop. Agents can plan tasks, edit files, run tests, review results, and iterate instead of generating individual lines of code.

The program discusses the foundations behind this approach, including generative AI, LLMs, agentic AI, tools, memory, feedback, the plan, act, observe, and reflect loop. It also explains how context engineering helps agents to work with the right repository information.

You also learn how to translate intent into a checkable contract via spec-driven development. The program then moves into agent orchestration, verification, governance, and actual project delivery with realistic repositories and hands-on labs.

What is Included in Our Agentic Software Development Engineer Program?

35 hours of live interactive training
LLM, Generative AI, and Agentic AI Basics
Agentic loop & agent building blocks
Memory of repositories and context engineering
Retrieval and context-window management
Spec-driven development
Automation workflows and skills that can be reused
Parallel agent workflows and subagents
MCP and agent orchestration
Evaluation, guardrails, and human approval
Capstone and deployment-focused work on a real repository

What are the Skills Covered in the Agentic Software Development Engineer Program?

Spec & Requirements Writing: Set clear goals, constraints, and acceptance criteria.
Context Engineering: Control the agent’s observations and what it should not observe.
Code Review: Review changes from the agent with high volume and high variance.
System & Architecture Judgment: Maintain the general form of the system as jobs are optimized by agents.
Verification & Governance: Use tests, evaluations, guardrails, and humans in the loop.
Agent Orchestration: Work with skills, sub-agents, MCP, and parallel agents
Context Window Management: Manage retrieval, pruning, compaction, and relevant information.
Spec-Driven Development: Move from specification, plan, tasks, implementation, and verification.

What are the Modes of the Agentic Software Development Engineer Program?

Our training features live, interactive sessions. Our flexible, interactive online course includes dedicated sessions and simulation-based learning.

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Agentic Software Development Engineer Program Training Highlights

What are the Key Features of the Agentic Software Development Engineer Program?

By enrolling in the Agentic Software Development Engineer program from Simpliaxis, professionals gain access to the following features:

11-Module Learning Path: Take11 modules covering Foundations, Context, Development, Orchestration, Governance, and a Capstone.

Practical Labs: Conclude each module with a practical lab, not just a video.

Real Repositories: Work with legacy code, tests, and CI in codebases.

Live AI Agents: Try Claude Code, OpenAI Codex, and Cursor in a Sandbox.

Context Engineering: Learn retrieval, memory files, window discipline, and deliberate exclusion.

Spec-Driven Development: Convert goals and constraints into a verifiable development contract.

Multi-Agent Orchestration: Work with skills, sub-agents, MCP, and parallel agents.

Verification & Governance: Apply evaluation, guardrails, human approval, and discipline of rollback.

Deployment Targets: Advance the capstone beyond a passing local test to actual deployment.

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Career upliftment

Boost Your Career with the Agentic Software Development Engineer Course

What are the Learning Outcomes of the Agentic Software Development Engineer Program?

Distinguish problems suited to deterministic workflows from those that require autonomous agents, and justify the choice
Design and implement single-agent and multi-agent systems using established architectural patterns
Build tool interfaces and integrate external systems, including through open protocols such as MCP
Engineer context, memory, and retrieval pipelines that ground agent behavior
Use coding agents effectively while reviewing and owning the quality of the code they produce
Build evaluation suites and observability so that agent quality can be measured and improved
Identify and mitigate security, safety, and privacy risks specific to agentic systems
Deploy and operate agentic services with appropriate reliability, cost, and release controls
Communicate design decisions, risks, and results to technical and non-technical stakeholders

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Agentic Software Development Engineer Program Practice Test

Immediate Results
Sample Papers
Time-Limited
Comprehensive Explanation
Previous Exams

Benefits focused on Individuals and corporate

What are the Benefits of Getting an Agentic Software Development Engineer Program?

Individuals Benefits

Develop Agentic SDE Skills: Go from hand-coding to guiding and reviewing AI-powered development.
Improve Specification Skills: Turn fuzzy intentions into verifiable development requirements.
Strengthen Code Review: Build the capability to review high-volume agent-generated changes.
Develop System Judgment: Maintain architectural direction while agents work locally.
Gain Hands-On Skills: Work with actual agents, repositories, labs, checkpoints, and a capstone.

Corporate Benefits

Test Generation: Backfill legacy modules with low-risk work that is highly verifiable and increases coverage.
Framework Migration: Automate repetitive, well-defined migration work.
First-Pass Code Review: Find style issues, defects, missing error handling, and security smells before human review.
Bug Reproduction & Fix: Convert stack traces into failing tests and iterate toward a verified fix.
Documentation & ADRs: Generate docs from the code that actually shipped.
Boilerplate & Scaffolding: Build services, endpoints, CRUD layers, and CI configuration based on our in-house conventions.

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Common attendees

Who usually attend Agentic Software Development Engineer Program Training

The program is designed for:

Software Engineers & Developers
Enterprise Engineering Teams
Forward-Deployed Engineers (FDEs)
Engineering Leads and Senior Engineers
Technical professionals working with AI-assisted development
Teams looking to build shared agentic engineering capabilities

Prerequisites for Agentic Software Development Engineer Program certification training

What are the Prerequisites Required for the Agentic Software Development Engineer Program?

Software developers, engineers, and technically trained career-changers who want to design and build agentic applications and use agentic tools effectively in their own development work. We assume no prior knowledge of machine learning or language models.

The following are nice to have, but not mandatory:

Working proficiency in at least one programming language (Python preferred)
Familiarity with the command line and basic Git usage
Basic understanding of web concepts such as HTTP and APIs
Willingness to read technical documentation and work independently on labs

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Steps to Get Agentic Software Development Engineer Program Certification

Steps to achieve Agentic Software Development Engineer Program certification - eligibility, application, prep, exam

Eligibility Verification:

For software engineers and technical professionals who are already comfortable working with production-ready software.

Join Training:

Join the structured learning path and begin working through the modules and practical labs.

Preparation:

Complete the study notes, guided labs, checkpoints, and practical work across the program.

Become Certified:

Complete the required program learning and capstone requirements.

Curriculum

Module 1: Engineering Foundations for the Agentic Era

Python and optional TypeScript
Git workflows and code review
REST APIs, JSON and asynchronous programming
Automated testing
Containers and reproducible environments
CI/CD fundamentals
Working with unfamiliar codebases
Building a REST service with tests and CI/CD

Module 2: Large Language Model Fundamentals for Engineers

Tokens, context windows and sampling
Model families, capabilities and limitations
Prompt design and few-shot examples
Structured and schema-validated outputs
Hallucination and common failure modes
Cost, latency and model selection
Working with provider APIs and SDKs
Model comparison and benchmarking

Module 3: Agent Architecture and Design Patterns

Workflows vs agents
Agent loop: observe, reason, act and evaluate
Prompt chaining, routing and parallelization
Orchestrator-worker and evaluator-optimizer patterns
Planning and task decomposition
Reflection and self-correction
Stopping conditions and retries
State machines and graph-based control flow

Module 4: Tools, Function Calling, and Integrations

Function and tool calling
Tool schema design
Tool descriptions and parameters
Tool results and error handling
Model Context Protocol (MCP)
External APIs, databases and file systems
Code-execution sandboxes
Browser and computer-use agents

Module 5: Context Engineering, Memory, and Retrieval

Context window management
Short-term and long-term memory
Embeddings and vector search
Chunking, indexing and re-ranking
Retrieval-augmented generation (RAG)
Agentic RAG
Summarization, compaction and pruning
Persistent state across sessions

Module 6: Multi-Agent Systems and Orchestration

Multi-agent systems and their use cases
Roles, delegation and handoffs
Shared state and communication
Supervisor, hierarchical and peer topologies
Orchestration frameworks and agent SDKs
Human-in-the-loop approvals
Agent interoperability protocols
Debugging multi-agent failures

Module 7: Agentic Coding and AI-Assisted Development Workflows

Coding agents in IDEs, terminals and cloud environments
Spec-driven development
Providing repository context
Agent-assisted refactoring and testing
AI-assisted debugging and migrations
Reviewing AI-generated code
Parallel agent workflows
Custom developer agents
Code ownership and technical debt

Module 8: Evaluation, Testing, and Observability

Evaluation of non-deterministic systems
Evaluation datasets and success criteria
Deterministic checks and rubric-based grading
LLM-as-judge and its limitations
Outcome and trajectory evaluation
Regression testing
Agent tracing and logging
Success, cost, latency and tool-error metrics
Error analysis and feedback loops

Module 9: Security, Safety, and Governance

Agent threat modelling
Prompt injection and data exfiltration
Tool misuse and excessive agency
Least-privilege permissions
Credential and secrets management
Sandboxing and isolation
Input and output validation
Guardrails and approval gates
Privacy, data retention and auditability
Red-teaming agents

Module 10: Production Deployment and Operations

Deployment architectures
Serverless, containers and queues
Timeouts, retries and fallbacks
Idempotency and rate limits
Cost control and token budgets
Prompt, tool and model versioning
Staged rollout, canary and A/B testing
Monitoring and incident response
Durable execution
Operational documentation and runbooks

Module 11: Product Thinking and Professional Practice

Identifying suitable agent use cases
Requirements and success metrics
Return on investment
Human-agent interaction design
Transparency and confirmation
Trust and user expectations
Cross-functional collaboration
Technical writing and architecture documentation
Ethical and responsible deployment
Evaluating models, frameworks and protocols critically

Capstone Project

In the capstone, each learner (or small team) designs, builds, evaluates, secures, and deploys an agentic application that solves a real problem. The project integrates the skills developed across all modules.

Minimum Requirements

A clearly defined problem and target user, with measurable success criteria
Integration with external tools or data sources (MCP or an equivalent approach)
A retrieval or memory component where appropriate to the problem
An automated evaluation suite with documented results
Tracing or observability instrumentation
A written threat model with implemented mitigations
Deployment through a CI/CD pipeline

Final Deliverables

Source repository with README and setup instructions
Architecture document
Evaluation report
Threat model and mitigation report
Deployment runbook
Live demonstration and final presentation

Course Curriculum

Agentic Software Development Engineer Course Curriculum in Sweden

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Python and optional TypeScript
Git workflows and code review
REST APIs, JSON and asynchronous programming
Automated testing
Containers and reproducible environments
CI/CD fundamentals
Working with unfamiliar codebases
Building a REST service with tests and CI/CD

Tokens, context windows and sampling
Model families, capabilities and limitations
Prompt design and few-shot examples
Structured and schema-validated outputs
Hallucination and common failure modes
Cost, latency and model selection
Working with provider APIs and SDKs
Model comparison and benchmarking

Workflows vs agents
Agent loop: observe, reason, act and evaluate
Prompt chaining, routing and parallelization
Orchestrator-worker and evaluator-optimizer patterns
Planning and task decomposition
Reflection and self-correction
Stopping conditions and retries
State machines and graph-based control flow

Function and tool calling
Tool schema design
Tool descriptions and parameters
Tool results and error handling
Model Context Protocol (MCP)
External APIs, databases and file systems
Code-execution sandboxes
Browser and computer-use agents

Context window management
Short-term and long-term memory
Embeddings and vector search
Chunking, indexing and re-ranking
Retrieval-augmented generation (RAG)
Agentic RAG
Summarization, compaction and pruning
Persistent state across sessions

Multi-agent systems and their use cases
Roles, delegation and handoffs
Shared state and communication
Supervisor, hierarchical and peer topologies
Orchestration frameworks and agent SDKs
Human-in-the-loop approvals
Agent interoperability protocols
Debugging multi-agent failures

Coding agents in IDEs, terminals and cloud environments
Spec-driven development
Providing repository context
Agent-assisted refactoring and testing
AI-assisted debugging and migrations
Reviewing AI-generated code
Parallel agent workflows
Custom developer agents
Code ownership and technical debt

Evaluation of non-deterministic systems
Evaluation datasets and success criteria
Deterministic checks and rubric-based grading
LLM-as-judge and its limitations
Outcome and trajectory evaluation
Regression testing
Agent tracing and logging
Success, cost, latency and tool-error metrics
Error analysis and feedback loops

Agent threat modelling
Prompt injection and data exfiltration
Tool misuse and excessive agency
Least-privilege permissions
Credential and secrets management
Sandboxing and isolation
Input and output validation
Guardrails and approval gates
Privacy, data retention and auditability
Red-teaming agents

Deployment architectures
Serverless, containers and queues
Timeouts, retries and fallbacks
Idempotency and rate limits
Cost control and token budgets
Prompt, tool and model versioning
Staged rollout, canary and A/B testing
Monitoring and incident response
Durable execution
Operational documentation and runbooks

Identifying suitable agent use cases
Requirements and success metrics
Return on investment
Human-agent interaction design
Transparency and confirmation
Trust and user expectations
Cross-functional collaboration
Technical writing and architecture documentation
Ethical and responsible deployment
Evaluating models, frameworks and protocols critically

Minimum Requirements

A clearly defined problem and target user, with measurable success criteria
Integration with external tools or data sources (MCP or an equivalent approach)
A retrieval or memory component where appropriate to the problem
An automated evaluation suite with documented results
Tracing or observability instrumentation
A written threat model with implemented mitigations
Deployment through a CI/CD pipeline

Final Deliverables

Source repository with README and setup instructions
Architecture document
Evaluation report
Threat model and mitigation report
Deployment runbook
Live demonstration and final presentation

Download Curriculum

course schedules

Schedules for Agentic Software Development Engineer Program in Sweden

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What you will learn in this Agentic Software Development Engineer Program workshop

What are the Learning Objectives of the Agentic Software Development Engineer Program?

Learn Agentic AI Fundamentals

Become familiar with generative AI, LLMs, agentic AI, tools, memory, feedback, and agentic workflows.

Agentic Loops in Practice

Learn how agents plan, act, observe, reflect, and continue until the specified conditions for completion are satisfied.

Establish the Context

Learn to handle repository memory, retrieval, context windows, compaction, pruning, and intentional exclusion.

Make Specifications Checkable

This is a statement of goals, constraints, acceptance criteria, and non-goals before an agent starts implementation.

Orchestrate AI Work

Learn how skills, sub-agents, MCP connectors, and parallel agents work together.

Apply Governance & Verification

Add evaluations, tests, guardrails, human approval, rollback, and intervention to make agentic development more reliable.

Create Reusable Workflows

Create reusable skills and team capabilities from great one-off workflows.

Real Software Provided

Apply learning to realistic repositories. Deliver a capstone from specification to verified delivery.

Agentic Software Development Engineer Program Certification Course For Corporates

Why Do Corporates Choose Us for the Agentic Software Development Engineer Program?

Simpliaxis offers structured professional learning that focuses on practical skills and hands-on application. In the Agentic Software Development Engineer Program, you will learn using real repositories, practical labs, agentic workflows, capability assessments, and projects with a focus on deployment. The program structure helps engineering teams build shared skills in context engineering, specification, orchestration, verification, and real project delivery.

Practical Learning Approach: Focuses on labs and real development work rather than video completion alone.
Real Repository Practice: Gives learners experience with repositories containing legacy code, tests, and CI.
Structured Learning Path: Covers eleven modules across a roughly eight-week learning journey.
Capability-Based Learning: Uses a four-level ladder from assisted to systemic capability.
Hands-On Agent Work: Includes practical work with AI coding agents in a browser-based environment.
Reusable Skills: Helps teams turn effective workflows into reusable capabilities.
Multi-Agent Orchestration: Covers skills, sub-agents, MCP, and parallel agent workflows.
Verification Focus: Builds understanding of evaluations, guardrails, testing, and human approval.
Real Project Delivery: Includes a capstone on a realistic repository.
Team Capability Building: Focuses on turning individual workflows into shared team practices.

Corporate Group enquiry

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Who is the Agentic Software Development Engineer Program for?

It is designed for software engineers, developers, enterprise engineering teams, forward-deployed engineers, and technical professionals working with AI-assisted software development.

What does an Agentic Software Development Engineer do?

An Agentic SDE specifies, directs, reviews, and verifies AI agent work while remaining accountable for the software that ships.

What are the main concepts covered in the program?

The program covers LLMs, agent loops, context engineering, spec-driven development, multi-agent orchestration, verification, governance, and real project delivery.

Does the program include practical learning?

Yes. Each module ends with a practical lab, and the learning environment includes real repositories, live agents, checkpoints, and a capstone.

Which AI coding agents are used in the program?

The program specifically features Claude Code, OpenAI Codex, and Cursor.

What is context engineering?

Context engineering involves deciding what information an agent sees, what it should not see, and how repository memory, retrieval, and context windows are managed.

What is spec-driven development?

It is a development approach that defines the goal, constraints, acceptance criteria, and non-goals before the agent starts implementation.

Does the program cover sub-agents?

Yes. It covers specialist sub-agents for tasks such as planning, architecture, implementation, testing, and review.

Does the program cover AI governance?

Yes. It covers evaluations, guardrails, human approval, rollback, intervention, and risks such as prompt injection and secrets exposure.

What will participants build during the program?

Participants work on practical labs and a capstone involving a feature and an API on a real repository, with deployment-oriented end-to-end delivery.

What payment options are available?

All types of payment methods are available. You can pay Online through Credit Cards, Debit Cards and Net Banking, Direct Bank Transfer/Wire Transfer/Wallet to our account and many more.Other payment options available are stripe, Splitit, PayPal for US & CA regions.

What cards do you accept?

We accept payments from VISA, Master, Maestro, AMEX, and Discover.

Is there any transaction or processing fee?

No, there is no transaction processing fee.

Where will I get my payment receipt?

Upon successful completion of payment, you will receive a confirmation email of your payment along with payment invoices.

Will I get a refund if I cancel my enrollment?

No, refund is not possible. You can reschedule your course. To know more about refunds, visit our Refund Policy.

Can I pay for the course in installments, or is full payment required upfront?

You have the flexibility to pay for the course either in full upfront or in installments, depending on your preference. To know more details about it contact us.

Do you offer any discounts or promotions for early payment?

Yes, we offer discounts and promotions for early payments or certain corporate Training. Keep an eye on our website or contact us to get exciting offers.

Can payments be made online through your website, or do I need to visit a physical location?

Payments can be made conveniently through our secure online payment portal on our website. We do not require visiting a physical location for payment.

Is there a preferred currency for payment, especially for international students?

While we accept payments in various currencies, we recommend using the currency from where you want to attend the course.

What happens to my token or partial payment if I don’t enroll immediately?

Token or partial payments will become non-refundable after 15 days from the date of payment.
Any token or partial amount paid can be applied towards enrollment for any available sessions on our website within 6 months of the payment date.

How much discount will I get if I enroll for the Training?

It totally depends upon the course. Please check our website regularly for new offers and discounts throughout the year. You can also chat with one of our career consultants to see if any discounts are available.

What is the object of Simpliaxis?

To provide high-quality training and help our professional participants & clients to build a high-performing workforce.

Why should I choose Simpliaxis?

Simpliaxis offers personalized corporate training programs designed for enterprise teams seeking to refine their employees' skills in various job processes or roles, whether through in-person sessions or live virtual instruction. Led by our skilled and certified trainers, these certification programs not only elevate learning curves but also empower teams to effectively apply their newfound skills to meet industry benchmarks. With over 40 certification programs available, the impact is profound, evident in a remarkable 45% improvement in employee retention rates. On average, there's been a notable 30% enhancement in both work satisfaction and capabilities, showcasing the tangible benefits of our training initiatives.

Are your courses affordable?

Yes, course fees for all technologies are affordable. Along with that, we do provide discounts on various courses.

Whom do I contact if I have more queries regarding my course?

You can reach out to our experienced career counselor
or email us on support@simpliaxis.com
or contact any of our phone numbers
or you can chat with us anytime
or visit our contact us page https://www.simpliaxis.com/contact-us

Is there any discount available for the Simpliaxis courses?

Yes, we do provide discounts on multiple courses. Please visit the schedules page to view the available discounts.

Who are the instructors of my course?

All our trainers are highly qualified and certified, having numerous years of experience in the training industry. You can choose your instructors for your course.

Do you offer corporate Training?

Yes, we do provide corporate Training. We customize Training based on our clients' needs.

Do you offer online Training?

Yes, For every course, online Training is available.

What are the different modes of Training available for Simpliaxis courses?

We provide different modes of Training: virtual Online Training, Live Virtual Training, Corporate Training & also E-learning.

What are the different courses offered by Simpliaxis?

At Simpliaxis we provide training for courses of all the in-demand technologies. One can choose a course from Project Management, Agile, IT, DevOps, Business, IT Service Management, Quality Management, etc based on their choice of interest. To know more, please visit https://www.simpliaxis.com/

How do I enroll in the training course?

Choose the course of your interest, schedule it at your convenience from our upcoming schedule list, and register for the training by submitting your details. Proceed to make a payment and you will receive a confirmation email of your course enrolment. Or you can connect our career advisors to consult & choose your course.

Do I get any certificate upon completion of the course?

Yes, you will receive a certificate after successful completion of the training course.

What if I miss a class? Are there any money back options?

No, you won't get your money back. But, as per your convenience, we can reschedule your training without any extra charges.

After enrollment, can I change the date of my training class?

Yes, you can change the date, but you have to inform it 3-4 days before the Scheduled date.

Where do I find the upcoming schedules of my course?

Select the course of your interest from the website and view all the upcoming workshop schedules. You can select your course from the website https://www.simpliaxis.com/

Can I receive personalized Training at my convenience?

Yes, we’ll be posting multiple schedules every week for all the courses. Based on your convenience, you can select the training schedule. Also, we’ve E-Learning programs for popular courses, you can enroll and watch the training modules whenever you want.

Is there any option to complete the Training in the native language if a participant chooses to?

English is the preferred language for training delivery. For corporate Training, any language other than English will have to be requested as a custom service. However, this will be subject to additional costs and the availability of a native language trainer. Please note that only official languages will be considered for this request.

If I want to know more about Training, whom should I connect with?

If you want to know more about the course you can connect us in mail hello@simpliaxis.com or you can call us.

Agentic Software Development Engineer Program Course FAQs

FAQs for Agentic Software Development Engineer Program