Student Handbook
Program: Python for Beginners (PY101) · Credential Level: Professional Diploma · Version: 2026 Edition
Audience: Students, Candidates, Graduates
Section 1 — Welcome Message
Welcome to the Python for Beginners (PY101) Program.
You are entering one of the world's most advanced and practical professional training programs. This program is designed to prepare you for The 4-week prep guide for MIT, Stanford & university AI certificates — don't waste $2,000+ in tuition showing up unprepared.
By completing this program, you will earn the professional designation: Python for Beginners (PY101).
Section 2 — Program Structure
The program consists of:
- 10 Instructional Modules
- 10 Module assessments (80% minimum)
- Workbook Exercises
- Capstone Project
- 100-Question Final Exam
- Diploma, Transcript, and Badge Pack
Each module includes:
- Textbook
- Video script
- Instructor notes
- Workbook
- Module assessment
- Automation unlock logic
Section 3 — Learning Outcomes
By the end of this program, you will be able to:
- Master the core concepts of the program
- Complete every workbook exercise
- Pass all module assessments
- Submit a portfolio-grade capstone
- Pass the 100-question final exam
Section 4 — Student Expectations
Students are expected to:
- Complete all modules in order
- Score ≥ 80% on each module assessment
- Complete workbook exercises
- Submit a Capstone Project
- Pass the final exam
- Maintain academic integrity
- Ask questions when needed
- Engage with the material
Section 5 — Module assessments
- Each module ends with a module assessment
- Minimum passing score: 80%
- Unlimited retries
- Module assessments unlock the next module
- Scores appear on your transcript
Section 6 — Capstone Project
The Capstone is your final demonstration of mastery.
You will build a full enterprise‑grade AI agent system that includes:
- Multi-agent collaboration
- Tools and APIs
- Memory and RAG
- Planning and autonomy
- Safety and governance
- Deployment and observability
Capstone Rubric:
| Criterion | Points |
|---|---|
| Architecture | 20 |
| Agent Design | 20 |
| RAG System | 15 |
| Tools & APIs | 15 |
| Planning & Autonomy | 10 |
| Deployment | 10 |
| Documentation | 5 |
| Demo Video | 5 |
| Passing Score | 80% |
Section 7 — Final Exam
- 100 multiple-choice questions
- Covers all 12 modules
- Passing score: 80%
- One retake allowed
- Passing unlocks your diploma and master badge
Section 8 — Academic Integrity
You must complete your own work.
Violations include:
- Plagiarism
- Misrepresentation
- Unauthorized collaboration
- Tampering with records
- Attempting to falsify credentials
Consequences may include:
- Warning
- Assignment failure
- Removal from program
- Credential revocation
Section 9 — Study Strategies
- Read each module fully
- Complete workbook exercises
- Take notes on key concepts
- Review diagrams and examples
- Practice tool and API reasoning
- Revisit memory and RAG concepts
- Prepare early for the Capstone
- Review module assessments before the final exam
Section 10 — Support & Communication
If you need help:
- Contact your instructor
- Review module notes
- Revisit workbook exercises
- Ask for clarification
Support emails:
- Academic Support: support@gacs.global
- Registrar: registrar@gacs.global
- Compliance: compliance@gacs.global
Section 11 — Credentials You Will Earn
Upon successful completion, you will receive:
- Official Diploma (PY101)
- Official Transcript
- Six Digital Badges
- Verification Registry Entry
- Portfolio-ready Capstone Project
These credentials may be used on:
- Résumés
- Portfolios
- Job applications
- Professional profiles
Section 12 — Verification & Authenticity
All credentials can be verified at:
https://verify.gacs.global/diploma/{{diploma_number}}
Employers may print verification pages for HR or compliance files.
Section 13 — Completion Requirements
To graduate, you must:
- Complete all modules
- Pass all module assessments
- Submit and pass the Capstone
- Pass the final exam
- Maintain academic integrity
Authoritative sources
Independent primary sources used to check and corroborate the guidance on this page.
- NIST National Initiative for Cybersecurity Education (NICE)
US national framework for cybersecurity work roles and competencies.
- Financial Action Task Force (FATF)
Global AML/CFT standards referenced by financial-crime curricula.
- FBI Internet Crime Complaint Center — Annual Reports
Primary loss and typology data used in fraud-investigation training.
- US Federal Trade Commission — Consumer Sentinel Data Book
Official complaint statistics for teaching fraud trend analysis.
