Applied Generative AI Specialization Bootcamp

3.500,00 EUR

  • 200 hours
Blended Learning
eLearning
Live Virtual Classroom

In collaboration with Microsoft Azure, this program equips professionals with the expertise needed to thrive in today’s fast-changing AI landscape. It combines academic excellence with practical learning through live classes, real-world projects, and hands-on experience with tools like ChatGPT, LangChain, Azure AI Studio, and DALL·E. The curriculum covers everything from core AI fundamentals to advanced Generative AI, agentic systems, and governance frameworks. Graduates emerge ready to lead in a GenAI-powered era, backed by recognized credentials from Purdue University Online and Microsoft.

About the Program

In collaboration with Purdue University

  • Build and Launch GenAI-Powered Applications with the Applied AI Program
  • Join interactive masterclasses led by industry experts
  • Create GenAI and Agentic AI applications through 7+ practical projects
  • 16 Week length program (8-10/week weekend classes)
  • Ask us for the next cohort and schedule details!

Key Features

Course and material are in English

Intermediate to advanced level

16 weeks of live classroom by Industry Experts

(8-10 hours/week, weekend classes)

70+ hours of live classes and mentor-led project support

200+ hours of study time and practice recommended

Flexible learning with session recordings and 24/7 access

Hands-on learning through 7+ real-world projects and a capstone project.

Master LLM fine-tuning, prompt engineering, and AI governance.

Microsoft Course completion certificate

Learning Outcomes

At the end of this Bootcamp, you will be able to:

AI Development & Applications

Build AI-powered business intelligence assistants, autonomous systems with agentic frameworks (e.g., LangChain), and deploy copilots and chatbots using Microsoft Azure AI Studio and Copilot Studio. Implement real-world AI use cases such as HR assistants, generative design tools (DALL·E, Gradio UI), and scalable business applications on cloud platforms.

Core AI & Generative AI Knowledge

Develop strong AI literacy across machine learning types, deep learning concepts, and advanced LLM techniques (RAG, fine-tuning, prompt engineering). Understand key generative AI models like neural networks, GANs, and transformers, along with embeddings, vector databases, and open-source repositories for enhancing AI search and staying current with emerging models.

Hands-on Technical Skills

Gain practical expertise in Python using Jupyter Notebook and Google Colab, plus data preprocessing, visualization, feature engineering, and domain-specific model fine-tuning. Work with leading AI tools such as ChatGPT, Gemini, Claude, Hugging Face, and Stable Diffusion.

AI Optimization, Governance & Ethics

Evaluate and optimize LLM outputs through attention mechanisms, benchmarking, and risk assessment. Learn AI governance, ethics, compliance, and strategies to build secure, reliable systems.

Skills Covered

  • Python Programming
  • Prompt Engineering
  • AI Literacy & Generative AI Fundamentals
  • Large Language Models (LLMs)
  • Agentic AI & Autonomous AI Architectures
  • LangChain Workflow Design
  • Retrieval-Augmented Generation (RAG)
  • LLM Fine-Tuning & Customization
  • Stable Diffusion & AI Image Generation
  • Transformers & Attention Mechanisms
  • Variational Autoencoders (VAEs)
  • Generative AI Application Development
  • LLM Benchmarking & Evaluation
  • Generative AI Governance & Ethics

An Engaging Learning Journey

Experience a collaborative classroom setting by connecting with peers and engaging with mentors in real time via Slack.

microsoft ai engineer

Learning Path

  1. Python Fundamentals

    Course 1

  2. AI Literacy

    Course 2

  3. Advanced Generative AI: Models and Architecture

    Course 3

  4. Advanced Generative AI: Building LLM Applications

    Course 4

  5. Agentic AI Frameworks with Model Context and Tooling Protocols

    Course 5

  6. Advanced Generative AI: Image Generation Capabilities

    Course 6

  7. Generative AI Governance

    Course 7

  8. Capstone Project

  9. Microsoft Azure AI Fundamentals: Generative AI

    Elective Course

  10. Microsoft Copilot Foundations

    Elective Course

Learning Path
generative ai specialization

Who Should Enroll in this Program?

This program caters to working professionals from various industries and backgrounds, fostering a collaborative and engaging learning atmosphere. With Generative AI emerging as a strong career path for both beginners and experienced experts, the Applied Generative AI Specialization is well-suited for individuals who have fundamental programming knowledge and an analytical mindset, and are eager to enhance their skills in the latest Generative AI innovations, including:

IT Professionals

Data Analysts

Business Analysts

Data Scientists

Software Developers

Analytics Managers

Data Engineers

Product Managers

Program Managers

Tech Consultants

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Prerequisites

  • Must be 18 years or older with a high school diploma (or equivalent)
  • Should possess a basic grasp of programming concepts and mathematics
  • Ideally have 2+ years of professional experience, though it’s not required

Frequently Asked Question

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