Microsoft Artificial Intelligence (AI) Engineer Course
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Course Overview
Step into the world of artificial intelligence with the Microsoft Artificial Intelligence (AI) Engineer Course. This program is designed for individuals looking to build a strong foundation in AI and enhance their career prospects in one of the most dynamic and rapidly growing fields.
Throughout the course, you will explore the fundamentals of Python programming, data science, machine learning, and deep learning, with specialised training in Natural Language Processing (NLP), generative AI, and Microsoft Copilot. You will gain practical, hands-on experience by working on industry-specific projects and a capstone, allowing you to apply your skills to solve real-world problems.
In addition, you’ll receive expert-led training that prepares you for the Microsoft Azure AI Fundamentals (AI-900) certification, and dive deep into the latest AI advancements using top tools like PyTorch, TensorFlow, and Azure OpenAI. Elective courses covering emerging technologies like ChatGPT, prompt engineering, and transformers will further equip you with the expertise needed to thrive in AI roles.
Over the course of your learning journey, you will:
- Earn a Completion Certificate: Receive a prestigious certificate from both Microsoft and Simplilearn, showcasing your expertise in AI engineering.
- Microsoft Learn Badge: Display your achievements on the Microsoft Learn portal to boost your professional profile.
- Comprehensive 140+ Hour Curriculum: Learn directly from industry experts through live, interactive sessions that cover essential AI concepts.
- Hands-On Experience: Complete 25+ real-world projects and a capstone to apply your knowledge and build a strong AI portfolio.
- Microsoft Azure AI-900 Exam Preparation: Get in-depth training to excel in the Microsoft Azure AI Fundamentals (AI-900) certification exam.
- Live Masterclass Sessions: Gain insights from Microsoft experts in exclusive masterclasses, enhancing your learning experience.
- Access Industry-Leading Tools: Develop expertise with powerful AI tools such as Azure OpenAI, Copilot, TensorFlow, and PyTorch.
- AI & ML Specialisation: Deepen your knowledge in machine learning, deep learning, and prompt engineering to advance in AI roles.
- Hands-On Implementation of Advanced AI Techniques: Master the development of Deep Learning, Generative AI (GenAI), and Agentic AI solutions using tools like TensorFlow, AutoGen, and Copilot Studio.
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What You Will Learn
In the Microsoft Artificial Intelligence (AI) Engineer Course, you’ll gain a solid foundation in Python programming, data science, machine learning, and deep learning, while developing expertise in cutting-edge AI technologies. You’ll learn to build real-world AI solutions using the latest tools and frameworks, and complete hands-on projects to showcase your skills.
Key Skills Covered:
- Python
- Data Science
- Machine Learning
- Deep Learning
- Azure
- Generative AI
- Prompt Engineering
- Natural Language Processing (NLP)
- Transformers
Tools You'll Use:
- ChatGPT
- Claude 3
- Uizard
- MIRO
- Descript
- Zapier
- Julius.ai
- Otter AI
- Python
- TensorFlow
- Keras
- NumPy
- NLTK
- Matplotlib
- Scikit-Learn
- Microsoft Copilot Studio
- AutoGen
By the end of this course, you’ll not only have the expertise to apply AI techniques to solve industry-specific challenges but also gain proficiency with the tools that are driving the future of AI.
Course Modules
The Microsoft Artificial Intelligence (AI) Engineer Course provides an in-depth curriculum, covering Python fundamentals, data science, machine learning, and deep learning, alongside specialised modules in Natural Language Processing (NLP) and Generative AI. Through hands-on projects, real-world applications, and exclusive sessions led by Microsoft experts, learners will gain practical experience and industry insights, preparing them for successful careers in AI.
Welcome to the program, where you'll gain the skills needed to become an AI expert, powered by Microsoft and delivered by Simplilearn.
- Master Python basics: syntax, data types, loops, and functions
- Understand OOP and modular coding
- Learn threading and multithreading
- Build the foundation for AI and ML coding
- Practice with hands-on Python programming tasks
- Learn how to utilise GenAI to become more efficient at 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.
- 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.
- 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 optimise neural networks effectively.
- 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.
- Build copilots using Microsoft Copilot Studio
- Understand prompt flow and grounding concepts
- Explore RAG-based Copilot development
- Analyse bot performance and deployment
- Learn ML types: supervised, unsupervised, RL
- Explore LLMs like ChatGPT, Claude, Gemini
- Work with image & video tools like DALL·E, Gen-2
- Understand GANs, transformers, and VAEs
- Practice prompt engineering for AI chat and search
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.
MS AI: Natural Language Processing (NLP)
- Gain an in-depth understanding of natural language processing and its application in analysing vast amounts of language data.
- Learn how to utilise 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: Masterclass on Agentic AI Solutions Using Copilot Studio and AutoGen
- Learn directly from Industry experts through live sessions and explore low-code tools like Copilot Studio to accelerate development. Leverage open-source frameworks such as AutoGen and discover how to rapidly deploy agentic AI solutions in real-world business environments.
Payment Options
Course projects
This Microsoft Artificial Intelligence (AI) Engineer Course, delivered by Simplilearn and co-developed with Microsoft, includes hands-on, industry-relevant projects that simulate real-world AI challenges.
These impactful projects are designed to help you master key AI concepts such as machine learning, deep learning, supervised and unsupervised learning, natural language processing, generative AI, reinforcement learning, neural networks, and the use of advanced tools like TensorFlow, PyTorch, and Microsoft Copilot Studio.
Below are the details of the exciting projects you will work on throughout the course.
MLB Digital Platform Enhancement
EdTech Backend System
Sales Strategy Analysis
Marketing Strategies with EDA
Predicting Employee Attrition
Song Classification with Cluster Analysis
Show off your achievements
Earn your Microsoft Artificial Intelligence (AI) Engineer Course Certification
Digital certificates are the new way for Upskilled and Simplilearn graduates to offer proof of their hard-earned knowledge or skill set.
You will receive individual certificates after each short course. Additionally, upon completion of the entire bootcamp, you will earn a certificate demonstrating your competence and expertise as an artificial intelligence engineer.
Differentiate Yourself
Set yourself apart from the competition with the Artificial Intelligence Engineer Bootcamp certificate. This is your ticket to get your foot through the door and proof that you have applied artificial intelligence engineering knowledge and skills to real-world projects, making you job-ready as a full-fledged expert.
Share your achievement
You worked for it, you earned it! Share your achievement loud and proud! Talk about your artificial intelligence engineering certification on LinkedIn, Twitter,and Facebook. Add it to your CV to stand out and showcase to your employers.
Frequently Asked Questions (FAQs)
By the end of this course, you will have gained proficiency in Python programming, machine learning, deep learning, natural language processing (NLP), generative AI, and Microsoft Copilot development. You’ll also become proficient in using industry-leading tools like TensorFlow, PyTorch, and Microsoft Azure OpenAI.
This course is designed for professionals and graduates with a basic understanding of programming and mathematics who are looking to advance their careers in AI. It’s perfect for those transitioning into AI roles or looking to specialise in machine learning, deep learning, and generative AI.
This program is perfect for professionals who want to:
- Transition into AI and ML roles.
- Enhance their current role with advanced AI skills.
- Drive AI-led innovations within their organisation.
- Launch entrepreneurial ventures using AI technologies.
The course is delivered entirely online through live, interactive sessions with expert instructors. You will engage in hands-on learning through real-world projects, receive dedicated mentoring, and have access to resources like recorded classes and masterclasses from Microsoft experts.
Upon completing the course, you will earn a prestigious certification from both Microsoft and Upskilled. This includes individual certificates for each module, as well as a Microsoft Learn Badge to showcase your achievements and skills to potential employers.
A related degree in Artificial Intelligence is not necessary to be eligible for an online AI learning course. Most online artificial intelligence programs are built on fundamental computer science fundamentals such as Python programming and statistics.
This AI online course is designed for both beginners and experienced professionals looking to enter the field.
Artificial Intelligence (AI) is the science and engineering of making intelligent machines, especially computer programs. It enables computer programs to perform tasks that usually require human intelligence. Using various principles and techniques in AI, computers can be trained to accomplish tasks by processing large volumes of data and recognizing patterns.
Artificial intelligence (AI) makes it possible for machines to learn for themselves, make decisions and perform human-like tasks. By harnessing the power of AI, we can develop systems that automatically understand their environment, detect changes and react accordingly. This unique ability disrupts traditional models of learning and decision-making, dramatically increasing speed, precision and efficiency.
As such, online AI learning courses are increasingly valued due to their emphasis on a hands-on focused and immersive learning approach. These days many organisations value skills that are job ready and demonstratable, and AI Certification bootcamp courses are an appraised path to achieve this practical experience.
The Artificial Intelligence online course is designed for both entry-level individuals and for experienced professionals looking to enter the world of artifical intelligence engineering.
You'll find a range of students from various backgrounds such as:
- Developers aspiring to be an AI Engineer or Machine Learning Engineer
- Analytics Managers who are leading a team of analysts
- Information Architects who want to gain expertise in Artificial Intelligence algorithms
- Analytics professionals who want to work in machine learning or artificial intelligence
- Graduates looking to build a career in Artificial Intelligence and machine learning
- Experienced professionals who would like to harness Artificial Intelligence in their fields to get more insight
To enrol in this Microsoft AI Engineer online course, you'll need to first submit an enquiry form via our website. You'll need to provide the following details:
- Your Name
- Best Phone Number
- Email Address
Once you've submitted your online form, one of our education consultants will be in touch within 48 hours.
During the consultation, you'll be able to ask questions regarding payment options, learning content and what career outcomes you can pursue if you complete your studies.
There are various career roles an AI certification student can work in upon completion of the online course. Some examples of career roles include: AI Engineer, AI Developer, AI Architects, Machine Learning Engineers, Data Scientists or Big Data Engineer