Microsoft - Microsoft AI Engineer Program 

Induction Microsoft AI Engineer
MS AI : Programming Essentials
Gain foundational knowledge of procedural and object-oriented programming in Python, including its benefits and setup.
Develop skills in using Jupyter Notebook and Python’s IDE for efficient programming.
Master Python basics such as data types, operators, loops, and variable scope.
Explore object-oriented programming concepts, focusing on methods, attributes, and access modifiers.

MS AI: Applied Data Science with Python
Acquire essential Python tools and techniques applied explicitly in data science.
Build critical skills in Python tailored for various data science career roles.
Engage in a blended learning model to deepen your understanding of core data science concepts.
Gain hands-on experience with practical applications for real-world insights.
 

MS AI: Machine Learning using Python
Engage in over 40 hours of applied learning and interactive lab sessions.
Solidify your knowledge with 4 practical, hands-on projects.
Benefit from dedicated mentoring support throughout your learning journey.
Master core Machine Learning concepts to achieve certification.
 
MS AI: Deep Learning Specialization
Differentiate deep learning from machine learning and explore various neural network types.
Develop proficiency in forward/backward propagation, hyperparameter tuning, and model interpretability.
Master core deep learning techniques, including dropout, early stopping, CNNs, object detection, and RNNs.
Gain foundational knowledge in PyTorch and learn to create and optimize neural networks effectively.
 
MS AI: Microsoft Azure AI Fundamentals AI 900
Preparation for Microsoft Azure Fundamentals (AI-900) certification exam.
Understanding the advantages, types, and core components of Azure cloud services with a focus on AI applications.
Coverage of cost management, governance, and compliance within a cloud environment.
Hands-on learning to build confidence in working with Azure.
Comprehensive knowledge to effectively use Azure for AI-driven solutions.
 
MS AI: Microsoft Copilot Foundations
Introduction to Microsoft Copilot and its core functionalities.
Create copilots using the Microsoft Copilot Studio interface.
Exploration of bot publishing and performance analysis techniques.
Building Retrieval Augmented Generation (RAG)-based Copilot solutions and understanding language model grounding.
Basics of prompt flow for effective Copilot development.
 
MS AI: Microsoft AI Engineer Capstone
The capstone project is the culmination of all the skills and knowledge you’ve acquired throughout this program. You will apply AI and machine learning techniques to solve industry-specific challenges. This hands-on project is designed to showcase your expertise in real-world scenarios, giving you a valuable portfolio piece to present to potential employers.

Electives:
MS AI: Essentials of Generative AI, Prompt Engineering & ChatGPT
Explore foundational concepts in AI and the principles of generative AI.
Understand the significance of explainable AI in modern applications.
Utilize prompt engineering techniques to optimize generative AI performance.
Learn about ChatGPT's structure, functionalities, limitations, and diverse applications.
Gain insights into the future landscape and potential challenges of generative AI.
 
MS AI: Natural Language Processing (NLP)
Gain an in-depth understanding of natural language processing and its application in analyzing vast amounts of language data.
Learn how to utilize machine learning algorithms for effective natural language processing.
Discover how NLP is a key factor driving AI market growth.
Develop the essential skills needed to pursue a career as an NLP Engineer.
 
MS AI: Advanced Generative AI
Understand the critical role of transformers in modern AI applications.
Evaluate the effectiveness of neural networks in performing generative tasks.
Distinguish between VAEs, GANs, transformers, and autoencoders, identifying optimal use cases for each model.
Assess the impact of attention mechanisms across various generative tasks.
Compare GPT and BERT architectures, focusing on their unique objectives and applications in generative AI.
 
MS AI: Industry Masterclass by Microsoft
Attend live online sessions by Microsoft industry experts to gain insights into the latest advancements in AI.