Microsoft Artificial Intelligence (AI) Engineer Certification Bootcamp

6 months bootcamp program (eLearning + Live online class every weekend!)

Ask us for the next bootcamp cohort!

• Master AI: From Foundational Knowledge to Advanced Agentic Applications with Microsoft.
• Apply Deep Learning, Generative AI, and Agentic AI using TensorFlow, AutoGen, and Copilot Studio.
• In-depth preparation for the AI-900 certification exam

The program also includes targeted preparation for the Microsoft Azure AI Fundamentals (AI-900) exam, along with training in Copilot development and advanced generative AI techniques using tools like PyTorch and TensorFlow. Learners can further expand their skills through electives on cutting-edge topics such as ChatGPT, transformers, and prompt engineering—equipping them for future-focused AI careers. Guided by expert Microsoft instructors, the program ensures participants gain valuable industry insights and are job-ready for impactful roles in AI and machine learning.

• Must be 18 years or older with a high school diploma (or equivalent).
• Professional experience of 2+ years is recommended but not required.
• A foundational knowledge of programming and mathematics is preferred.

• Project 1: MLB Digital Platform Enhancement Develop backend modules to handle stats, schedules, and bookings while adding multi-threaded reporting for faster performance.
• Project 2: EdTech Backend System Build backend features for managing learner data and courses, improving user experience and supporting UI upgrades.
• Project 3: Sales Strategy Analysis Examine state-level sales data to identify high-performing regions and recommend strategies for underperforming areas.
• Project 4: Marketing Strategies with EDA Perform exploratory data analysis and hypothesis testing to uncover customer acquisition drivers and refine marketing plans.
• Project 5: Employee Attrition Prediction Create an ML model to forecast employee turnover, analyzing tenure, satisfaction, and work patterns for retention insights.
• Project 6:Song Classification with Clustering Apply clustering techniques to generate personalized playlists and boost user engagement through better recommendations.
• Project 7: Home Loan Data AnalysisBuild a deep learning model to predict loan defaults using historical, imbalanced datasets, improving lending security.
• Project 8: Lending Club Loan Data AnalysisDevelop a predictive model with Lending Club’s 2007–2015 loan data to assess default risks and handle class imbalance.
• Project 9: ChatGPT-Based StorytellingCreate an interactive storytelling tool with ChatGPT, enabling collaborative narratives without coding to enhance creative writing.
• Project 10: Virtual Project Management ConsultantDesign ChatGPT prompts to provide project management support in planning, risk assessment, and team collaboration.
• Project 11: AI-Powered HR Assistant for NestléBuild an HR assistant using OpenAI GPT and Gradio to extract answers from policy PDFs, streamlining employee support.
• Project 12: AI-Driven Design CreationUse DALL·E and Gradio UI to turn text prompts into creative designs, highlighting AI’s role in digital marketing.

Licensing and accreditation

Microsoft Artificial Intelligence Engineer Bootcamp is offered according to Partner Program Agreement and complies with the License Agreement requirements.

Equity Policy

AVC does not provide accommodations due to a disability or medical condition of any students. Candidates are encouraged to reach out to AVC for guidance and support throughout the accommodation process.