Professional Bootcamp
A hands-on bootcamp in enterprise AI engineering and delivery. From understanding business problems to delivering enterprise AI systems that really work.
- 8 weeksCore program length
- 56 hMentor-led hours
- 12–16 peopleSmall classes
- Project-drivenFinal delivery review
Who it is for
- Software engineers, full-stack engineersMove into AI engineering and enterprise deliveryFDE Professional Bootcamp
- ERP, CRM and WMS implementation consultantsLearn to build AI applications and system integrationsFDE Professional Bootcamp
- Technical pre-sales, solutions consultantsAdd engineering and delivery skillsFDE Professional Bootcamp
- Tech-minded founders, independent developersTake on and deliver AI projects independentlyFDE Professional Bootcamp
- Computer science studentsBuild a complete project portfolioPreparatory course + Professional Bootcamp
- Business executives, business ownersJudge project value and organize AI implementationFDE Discovery Workshop
- Career changers starting from zeroBuild a solid foundation in programming, databases and APIsPreparatory course, then the Professional Bootcamp after assessment
Professional Bootcamp entry requirements: able to do simple development in Python or JavaScript, with a basic understanding of databases, HTTP APIs and Git. No experience with large-model development is required. Learners starting from zero can first complete a two-week self-study preparatory course and join the main class after passing a basic test.
Syllabus
8 weeks · 56 hours of mentor-led instruction · plus about 40 hours of self-directed practice and project work. Each week includes 2 hours of theory, 3 hours of mentor-led hands-on practice and 2 hours of project review and Q&A, combining live online sessions with project practice.
WEEK 01FDE mindset and business requirements discovery7 hours
How FDE differs from software development, implementation and pre-sales; client interviews; AS-IS / TO-BE processes; breaking down business problems; baseline metrics and success criteria
DeliverablesBusiness diagnostic report, requirements list, project objectives
WEEK 02Engineering fundamentals and enterprise data integration7 hours
Python, SQL, Git, REST API, JSON, webhooks, authentication, error handling, interface debugging and data synchronization
DeliverablesA working enterprise data connector
WEEK 03LLM applications, knowledge bases and RAG7 hours
Model APIs, prompt and context engineering, embeddings, retrieval, RAG, knowledge base permissions, data quality, cost control
DeliverablesA knowledge assistant that answers questions from company documents
WEEK 04AI agents and business automation7 hours
Dify, LangGraph, tool calling, MCP, Skills, workflow orchestration, human approval, multi-agent collaboration
DeliverablesA digital employee that performs controlled business operations
WEEK 05ERP integration and enterprise solution architecture7 hours
ERP / CRM / WMS business models, Odoo sandbox, data mapping, packaging business capabilities, role permissions, idempotency and transaction safety
DeliverablesAn ERP-connected AI tool and an end-to-end business process
WEEK 06Production-grade deployment and security7 hours
FastAPI, Docker, databases, environment configuration, CI/CD basics, logging and monitoring, permission isolation, failure recovery and GDPR
DeliverablesA deployable service, runbook and security checklist
WEEK 07Performance evaluation and client delivery management7 hours
Test datasets, agent evaluation, failure and exception scenarios, response time, cost analysis, ROI, project quoting, SOW, acceptance criteria
DeliverablesPerformance evaluation report, cost estimate, project implementation plan
WEEK 08Capstone enterprise project and defense7 hours
Integrated system testing, bug fixing, user training, go-live demo, client role-play, project handover and retrospective
DeliverablesFinal project, delivery documents, demo and defense
Tech stack
- Python
- SQL
- Git
- FastAPI
- Docker
- PostgreSQL
- Dify
- LangGraph
- MCP
- Odoo
- LLM APIs
- RAG
Technology serves the project; you are not expected to master every framework within 8 weeks. Model training, complex Kubernetes, deep fine-tuning and similar topics are left to later advanced courses.
Enterprise hands-on projects
Projects use simulated business data, sandbox systems and authorized teaching materials, never client production data. Each learner chooses one track for the graduation project.
- Project A
ERP intelligent operations digital employee
Build a digital employee on an Odoo sandbox that queries sales, inventory and receivables data, identifies anomalies and proposes how to handle them; any order changes are carried out only after human review.
- ERP API
- Data mapping
- Agent
- MCP
- Permission management
- Project B
Intelligent document processing for international logistics
Develop a document processing system covering document recognition, field extraction, order matching, missing-information alerts and human review.
- Document AI
- Data processing
- API integration
- Exception handling
- Human review
- Project C
CRM sales collaboration agent
Combine client requirement capture, lead classification, follow-up reminders and sales report generation into one working workflow.
- Workflow
- CRM
- RAG
- Automated triggers
- Business metrics analysis
At graduation you submit a code repository, architecture diagram, test results, deployment notes, business value analysis and demo materials, not just a chatbot demonstration.
Learner benefits
- Certificate of completion
After passing the assessment, you receive a SHEPHARD Academy certificate of completion and a project capability evaluation.
- Project lab environment
A teaching ERP sandbox, simulated data, code templates and an agent development environment.
- Learning materials
Course handouts, hands-on manuals, an index of technical documentation and project delivery templates.
- Mentor support
Group code reviews, weekly project reviews and dedicated Q&A sessions.
- Career development
GitHub portfolio guidance, project defense, FDE technical interview and client communication simulations.
- Industry community
Join the learner community to receive later technical talks and industry event information.
- Project co-creation
Outstanding learners may apply to take part in SHEPHARD's later project assessments or talent selection.
The certificate of completion is issued by SHEPHARD Academy as proof of completion. It is not an official national or industry qualification. Together with the hours record, it can serve as one of the records a company keeps to meet the AI literacy requirements of the EU AI Act (this is not legal advice). The career development and project co-creation benefits do not guarantee internships, job offers or client project opportunities.
Final assessment
Scored out of 100; to complete the program you need 75 or above and must pass the security check.
- Business understanding and solution design20%
- Engineering development and system integration25%
- Testing, evaluation and security25%
- Deployment and delivery quality20%
- Client communication and project defense10%
Basic delivery requirements for the graduation project
- The system runs
- Key operations have appropriate permissions and human confirmation
- Reproducible test evidence is provided
- Able to explain the system's limitations and how failures are handled
€1,490/ person
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