Register Now
Azure AI Cohort
6 December 2024 - 28 December 2024

Azure AI Cohort

Location

online
Online

Speaker

2 Professional
Speakers

Days:

8 Days

About

Welcome to the Azure AI Cohort, a virtual event dedicated to helping developers and AI enthusiasts harness the full potential of Microsoft Azure’s AI services. This cohort is designed for anyone looking to deepen their understanding of AI development and cloud integration using Azure’s powerful tools and frameworks.

Throughout this event, you’ll gain hands-on experience with Azure’s AI capabilities, including machine learning, cognitive services, and data analytics. Led by Azure experts, the sessions will guide you through real-world applications, best practices, and strategies for building and deploying intelligent solutions at scale.

Whether you’re an experienced developer or just starting with AI, the Azure AI Cohort offers the knowledge, tools, and resources needed to excel in AI-driven development on the Azure platform.

Join us and become part of a community exploring the future of AI on Azure!

Benefits

  • Learnings
  • Mentorship
  • Networking
  • Industry connect

Azure AI Cohort

Date: 6 December - 28 December
Timing: 7:00 PM - 9:00 PM
Location: online
Online
Speaker: 2 Professional
Speakers
Days: 8 Days

Speakers

Ajay Kumar S
Ajay Kumar S
Software Engineer, Azure, Cloud + AI Microsoft ·
Adithya Saladi
Adithya Saladi
Software Engineer - Microsoft ·

Schedule

7:00 PM - 9:00 PM
Introduction to AI

  • Overview of AI: Definition and history
  • Types of AI: Narrow vs. General AI, Machine Learning, Deep Learning
  • Applications of AI: Real-world use cases in various industries
  • Discussion: Ethical considerations in AI

7:00 PM - 9:00 PM
Fundamentals of Machine Learning

  • Introduction to Machine Learning: Key concepts and terminology
  • Types of Machine Learning: Supervised, unsupervised, and reinforcement learning
  • Hands-On Activity: Building a simple machine learning model using Python and scikit-learn

7:00 PM - 9:00 PM
Data Preparation and Processing

  • Importance of Data: Data collection, cleaning, and preprocessing
  • Feature Engineering: Techniques for improving model performance
  • Hands-On Activity: Data preprocess

7:00 PM - 9:00 PM
Deep Learning Basics

  • What is Deep Learning?: Neural networks and their architecture
  • Common Frameworks: Introduction to Azure Databricks and PyTorch
  • Hands-On Activity: Building a simple neural network for image classification

7:00 PM - 9:00 PM
Natural Language Processing (NLP)

  • Overview of NLP: Techniques and applications
  • Key Concepts: Tokenization, embeddings, and language models
  • Hands-On Activity: Text classification with Azure ML Service

7:00 PM - 9:00 PM
AI in Practice: Building a Mini Project

  • Project Planning: Selecting a project idea and defining objectives
  • Team Collaboration: Tools and practices for effective teamwork
  • Hands-On Activity: Start working on the mini project (e.g., a chatbot, image recognizer)

7:00 PM - 9:00 PM
Model Evaluation and Optimization

  • Evaluation Metrics**: Accuracy, precision, recall, F1-score, and ROC-AUC
  • Hyperparameter Tuning: Techniques to optimize model performance
  • Hands-On Activity: Evaluating and tuning the mini project model

7:00 PM - 9:00 PM
Future of AI and Career Paths

  • Emerging Trends: AI advancements and their implications
  • Career Opportunities: Roles in AI and how to pursue them
  • Final Project Presentations: Showcase mini projects and share learnings
  • Q&A Session: Open discussion on AI topics of interest