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University & vocational students | 4 × 90 min a month × 12 months (48 lessons)

AI Career

Workflow automation, AI agents and RAG apps at a professional level, plus JDLA G-Certificate prep and a job-hunting portfolio.

What you'll be able to do after one year

  • Design and implement business automation and AI agents
  • Build a RAG application and explain it end to end, including evaluation and security
  • Prepare for the G-Certificate (JDLA Generalist exam) and complete a portfolio you can talk about in job interviews

Tools used: ChatGPT / Claude / Gemini, Python, SQL, Google Apps Script, no-code automation (Zapier, Make, etc.), AI APIs, vector databases, GitHub

Curriculum (48 lessons)

Based on your skills test result, Beginners start in month 1, Intermediate learners in month 5 and Advanced learners in month 9 (earlier lessons remain available for review).

STEP 1 Get to know AI

Month 1: Generative AI Basics and Rules

  1. 1How LLMs Work and Their Limits
  2. 2University AI Policies and Reports
  3. 3Data Leaks, Contracts and Terms of Use
  4. 4Choosing Between the Main Tools

STEP 1 Get to know AI

Month 2: Prompt Design and Knowledge Work

  1. 1Structured Prompts
  2. 2Research and Reading Papers
  3. 3Creating Documents and Slides
  4. 4Building a Prompt Library

STEP 1 Get to know AI

Month 3: Data Analysis (Python and SQL)

  1. 1Data Analysis with Python and AI
  2. 2Introduction to SQL
  3. 3Visualisation and Dashboards
  4. 4Showcase 1 (Data Analysis) Showcase

STEP 2 Use AI

Month 4: Business Automation

  1. 1Breaking Down Workflows
  2. 2No-Code Automation
  3. 3Google Apps Script x AI
  4. 4Measuring the Impact of Automation

STEP 2 Use AI

Month 5: LLM API Development

  1. 1API Basics and Key Management
  2. 2Structured Output and Tool Calling
  3. 3Turning It into a Web App
  4. 4Cost and Rate Limits

STEP 2 Use AI

Month 6: AI Agents

  1. 1What Is an Agent?
  2. 2Agent Design
  3. 3Human Checkpoints (Approval)
  4. 4Showcase 2 (Automation and Agents) Showcase

STEP 3 Create with AI

Month 7: RAG App Development

  1. 1Embeddings and Vector Search
  2. 2Document Preprocessing and Chunking
  3. 3Evaluating RAG
  4. 4Citations and UI

STEP 3 Create with AI

Month 8: Evaluation, Security and Operations

  1. 1Prompt Injection
  2. 2Personal Data, Copyright and Internal Rules
  3. 3Logging and Monitoring
  4. 4Designing Quality Evaluation

STEP 3 Create with AI

Month 9: Development Project

  1. 1Problem Setting and Requirements
  2. 2Development
  3. 3User Testing
  4. 4Showcase 3 (Project) Showcase

STEP 4 Get results with AI

Month 10: G-Certificate Exam Prep

  1. 1AI History and Machine Learning Methods
  2. 2Deep Learning
  3. 3Law, Ethics and Social Implementation
  4. 4Mock Exam

STEP 4 Get results with AI

Month 11: Job-Hunting Portfolio

  1. 1Portfolio Design
  2. 2Polishing GitHub and Writing Technical Articles
  3. 3Talking About AI Experience in Interviews
  4. 4Real-Project Case Study

STEP 4 Get results with AI

Month 12: Graduation

  1. 1Comprehensive Review
  2. 2Finishing the Final Project
  3. 3Rehearsal
  4. 4Graduation Showcase Showcase