Back to Projects

Seasonal AI Course

A comprehensive seasonal educational path designed to guide participants into the world of Artificial Intelligence, moving beyond simple chatbot interactions to acquire systematic, critical, and highly applicable skills.

KEY FEATURES

  • Educational path of 25 sessions (50 hours total) with a weekly frequency
  • Long-term structure ideal for absorbing concepts and testing in the field
  • Hands-on BYOD approach with practical labs and real-world integration projects
  • Learning methodology based on critical error analysis (Anatomy of Doubt)
  • Guided and certified final group project development

TECHNOLOGIES

AI DemystificationPrompt EngineeringGenerative MediaAI-Assisted CodingAgents & MCPEthics & Regulations
Seasonal AI Course
Complete Educational Program

Explore the Journey

Click on the learning modules to discover detailed lessons, BYOD labs, and the goals of each educational block.

1

Lesson 1: Beyond Magic

What predictive statistics is and why AI does not 'think'. Lab: Challenging the machine on its boundaries.

2

Lesson 2: History of Language Models

From early neural networks to ChatGPT: the evolution of semantic engines.

3

Lesson 3: Anatomy of Error

Recognizing hallucinations and factual inaccuracies in generative AI models.

4

Lesson 4: How LLMs Work

Tokens, weights, and the boundaries of memory context.

5

Lesson 5: First Contact

Critical and conscious utilization of mainstream public AI platforms.

1

Lesson 6: Command Syntax

How to structure an effective prompt: Context, Instruction, Constraints, and Format.

2

Lesson 7: Persona Prompting

Setting specific roles, backgrounds, and viewpoints for the virtual assistant.

3

Lesson 8: Few-Shot Prompting

Providing structured examples to guide the machine on complex tasks.

4

Lesson 9: Socratic Iteration

Socratic dialogue techniques to progressively refine and correct AI output.

5

Lesson 10: Logic and Chain of Thought

Activating Chain of Thought techniques to guide the AI step-by-step.

1

Lesson 11: Visual Prompting

Creating and editing high-fidelity graphics with Midjourney and DALL-E.

2

Lesson 12: Video Generation

Direction and creation of micro-clips and dynamic video storytelling (Kling AI, Runway).

3

Lesson 13: Voice Synthesis & Music

Voice cloning, voiceovers for presentations, and song composition (Suno, Udio).

4

Lesson 14: Multimodal Storytelling

Integrating script, images, and audio into a cohesive creative short film.

5

Lesson 15: Copyright & Synthetic Art

IP issues, creative originality, and the ethics of algorithmic art.

1

Lesson 16: The Agentic Era

The transition from static chatbots to autonomous agents capable of controlling computer tasks.

2

Lesson 17: Model Context Protocol (MCP)

Connecting AI to local files, databases, and private docs for contextual reasoning.

3

Lesson 18: Coding for Humanists

Getting started with Python guided by AI: variables, loops, and software logics.

4

Lesson 19: Automation Pipelines

Creating microservices to connect emails, spreadsheets, and automatic alerts.

5

Lesson 20: Collaborative Debugging

Resolving software bugs and optimizing scripts via interactive dialogue with AI.

1

Lesson 21: Agile Team Management

Organizing project teamwork with AI-assisted task division.

2

Lesson 22: Deepfakes & Fact-Checking

Source verification techniques and Lateral Reading to uncover synthetic disinformation.

3

Lesson 23: GDPR and the European AI Act

Regulations, data storage boundaries, and legal compliance of AI tools.

4

Lesson 24: Final Project Development

Practical lab session to finalize group software, media, or automation projects.

5

Lesson 25: Ethical Debate & Certification

Closing debate on the future of work and structural impact of automation.