Deep Learning to AI Agents: Building Generative AI with MCP

Learn the fundamentals of deep learning, build autonomous AI agents, and implement the Model Context Protocol to connect models with external tools and data sources.

4.3 (8) ⏱ 1 h 29 min 📚 5 lezioni 🎧 Versione audio

Informazioni sul corso

Generative AI is shifting from passive chat interfaces to active, autonomous AI agents that can interact with external tools and solve complex problems. Understanding how to transition from basic deep learning concepts to building these intelligent, tool-using agents is the key to staying ahead in modern software development. This text-based course guides you through the entire journey of modern AI implementation, starting with the core mathematical and conceptual foundations of neural networks and progressing to generative architectures. You will learn how to build and connect autonomous AI agents using the Model Context Protocol (MCP), enabling them to read and write data from secure environments. Through clear, written explanations and step-by-step code snippets, you will gain a practical understanding of how modern agentic systems function. What you'll learn: - Understand the foundational concepts of deep learning, neural networks, and training pipelines - Explore the architecture of modern Generative AI models and large language models - Design and build autonomous AI agents capable of planning, reasoning, and executing tasks - Implement the Model Context Protocol (MCP) to safely connect AI models to external databases and APIs - Apply prompt engineering and basic retrieval-augmented generation (RAG) to improve agent accuracy - Practice designing agentic workflows for real-world automation scenarios through written exercises The curriculum begins with essential terminology and the mechanics of machine learning, ensuring you have a solid foundation before moving forward. From there, you will transition to practical generative AI concepts, learning how to configure, orchestrate, and deploy tool-using AI agents step-by-step. This course is designed for software developers, tech enthusiasts, and beginners looking to transition into modern AI development. No prior experience with deep learning or AI engineering is required, though a basic familiarity with general programming concepts is helpful. Start reading today and learn how to build the next generation of autonomous AI systems.

Cosa otterrai

  • 📜 Certificato di completamento
    Aggiungilo al tuo profilo LinkedIn
  • 💬 Personal AI tutor
    Stuck on a lesson? Ask your built-in tutor anything, any time.
  • 🎧 Versione audio inclusa
    Impara ovunque, senza schermo
  • ♾️ Accesso a vita
    Torna quando vuoi, senza scadenza
  • 📱 Telefono o computer
    Funziona ovunque, su qualsiasi dispositivo
  • 💸 Rimborso entro 30 giorni
    Senza domande
  • Breve e mirato
    1 h 29 min di contenuto pratico

Recensioni

Ancora nessuna recensione — sii il primo a condividere la tua esperienza.

Scrivi una recensione

Ti chiederemo di accedere dopo l'invio — la bozza viene salvata.

Altri hanno seguito anche

Domande frequenti

Cosa serve per seguire questo corso? +

Basta un telefono o un computer con internet. Niente installazioni, nessun hardware speciale.

Come si paga? +

Con carta via Stripe o con criptovaluta. Non conserviamo i dati della carta — Stripe li gestisce in sicurezza.

Posso ottenere un rimborso? +

Sì — rimborso completo entro 30 giorni, senza domande.

Per quanto tempo avrò accesso? +

Per sempre. Una volta acquistato, il corso è tuo e puoi rivederlo quando vuoi.

Riceverò un certificato? +

Sì. Al completamento riceverai un certificato da aggiungere al tuo profilo LinkedIn.

Pensato per chi lavora in
Tech Design Finanza Marketing Sanità Istruzione Ospitalità Produzione