Microsoft AI Engineer Program

AI Engineer Course FAQs

• What is the AI Engineer Course?

  The AI Engineer course is a joint offering by Simplilearn and Microsoft, designed to help professionals build end-to-end AI solutions using Microsoft Azure. The program is a structured artificial intelligence training that covers essential skills such as Python programming, machine learning, deep learning, NLP, and generative AI.

  Learners gain hands-on experience with tools like Azure OpenAI and Copilot, develop AI-powered applications using modern tools and practices, and complete real-world projects to strengthen practical knowledge.

• How does this certification program stand out from other AI courses?

  • Direct Microsoft Partnership: The course is built directly with Microsoft. You get a joint certificate from Microsoft and Simplilearn. You also take masterclasses taught by official Microsoft Certified Trainers.

  • Official Exam Preparation: It does not just give you a course completion certificate. It is specifically designed to help you pass a recognized industry exam, the Microsoft Azure AI-901 Fundamentals certification.

  • Focus on Enterprise Tools: Many standard AI courses only teach open-source code. This program focuses heavily on the tools big businesses use every day, supporting AI adoption in organizations with the kind of AI tools used in enterprise environments. You learn Azure AI, Microsoft 365 Copilot, and Copilot Studio.

  • Beginner-Friendly Entry: Advanced AI courses usually require a full college degree and strong math skills. This program only requires a high school diploma. It includes an optional module on basic programming to help you start from zero, while also covering practical AI applications, practical implementation, and responsible AI practices such as fairness and bias detection.

  You also build AI agents and AI systems for enterprise-style workflows, including intelligent workflow automation platforms, while learning to manage AI project workflows and gaining exposure to backend architecture, deployment, and cloud deployment.

• Who is eligible to enroll in this AI engineer course?

  This AI engineer certification course is open to anyone aged 18 or older with a high school diploma or equivalent qualification. While no prior experience is required, a basic understanding of programming and mathematics can help you get the most out of the program.

  It's well suited for recent graduates, early-career professionals, students, and working professionals interested in this ai course to build job-ready ai skills, as well as individuals from software development backgrounds looking to transition into the field of artificial intelligence.

• What is the duration of this AI engineering course?

  Our AI Engineer Program is a 6-month, live, interactive online program designed for working professionals. It offers flexible learning while providing hands-on experience, practical learning, real-world AI projects, and industry-relevant tools.

• What skills, machine learning concepts, and tools will I learn in the AI Engineer course?

  Skills you will learn:

  • AI and ML core: Machine Learning, Deep Learning, Supervised Learning, Unsupervised Learning, Transformers, and NLP with pre-trained transformer models

  • Generative and agentic AI: Generative AI, Agentic AI Solutions, LLMs, Prompt Engineering, Retrieval-Augmented Generation (RAG), and vector databases

  • Data and programming: Python, Data Science, and Advanced Statistics

  • Model lifecycle: Model Training, Model Evaluation, Model Validation, Model Optimization, and foundational concepts of model deployment, pipeline workflows, and monitoring models in production

  • Microsoft ecosystem: Exposure to MS Tools and Services (Azure AI, including prep for the AI-901 exam)

  This curriculum emphasizes applied learning through practical projects and real-time industry projects, not just AI concepts.

  Tools you will learn:

  • Agentic AI and LLM: Claude, Microsoft Copilot Studio, AutoGen, LangChain, Hugging Face, OpenAI, ChatGPT, DALL-E, Chroma

  • Deep learning frameworks: PyTorch, TensorFlow, Keras, OpenCV

  • Data science and ML libraries: Pandas, NumPy, SciPy, scikit-learn, SymPy, NLTK

  • Visualization and apps: Matplotlib, Seaborn, Gradio for web demos and interactive app development

  • Development environment: Python, Jupyter, VS Code, Google Colab, and GitHub Copilot for modern AI workflows

  • Utilities: PyPDF, Date/Time

• What job roles and career opportunities can you get after completing an AI engineer course?

  After completing an AI engineer course, you can pursue a variety of career opportunities in the artificial intelligence and machine learning field, driven by rising demand for ai professionals. Common career paths include:

  • AI Engineer

  • Machine Learning Engineer

  • Data Scientist

  • Data Analyst

  • Product Manager

  • NLP (Natural Language Processing) Specialist

  • Computer Vision Engineer

  • Deep Learning Engineer

  • AI Consultant

  • Generative AI Specialist

  These roles are available across industries such as IT, healthcare, finance, e-commerce, and technology services, offering strong opportunities for career growth and specialization. The World Economic Forum projects 170 million new jobs will be created globally by 2030, with AI and Machine Learning Specialists leading the fastest-growing careers.

• What is the average salary for an AI engineer?

  Salary in USA: According to ZipRecruiter, the average salary for an AI Engineer in the US is $101,752 per year (or about $48.92 an hour) to $106,386 per year. Remote roles average slightly higher at $115,864 per year.

  Salary In India: According to AmbitionBox data based on 5,000 salaries, the average AI Engineer in India makes about ₹15.9 Lakhs per year (₹1.3L per month) with just 1 year of experience. After upskilling, many AI professionals can earn between ₹15–40 LPA, depending on role and experience.

• Do AI engineers need coding skills?

  Yes, coding skills are essential for AI engineers. Proficiency in languages like Python, R, Java, or C++ is necessary to build, deploy, and scale AI applications, and these software development skills also support work on production-ready AI applications.

• Is mathematics important for AI engineering?

  Yes, mathematics is essential for AI engineering. Concepts from linear algebra, probability, statistics, and calculus form the foundation of machine learning and AI algorithms.

• Can I change my cohort after enrolling in the course?

  Yes. You are eligible for one complimentary cohort change within the first 60 days of your enrollment. If you cannot continue in your current cohort and have already used your complimentary change, you may request an additional cohort transfer by paying the applicable fee. For details on the process and support with your request, please contact our support team.

• Can I get an extension if I need more time to complete the program?

  Yes. If your program access has expired and you still have pending assignments or projects, you can request either an extension of 30 days OR 3 months by paying a nominal fee. During this extension, you can access recorded sessions from the current cohort and complete your remaining learning requirements.

• Do I need a paid Claude subscription to Build with Claude Code, OpenClaw & Claude Design workshop?

  Yes. This workshop uses the latest Claude tools, so learners are required to obtain their own paid Claude subscription. The basic Claude Pro plan ($20/month) is sufficient for all workshop activities.

• What do learners say for the Simplilearn AI Engineer Course?

  Learners who completed the program mention the hands-on projects and the range of topics it covers, from machine learning and deep learning to generative AI and Azure. Some also mention instructor support and the six-month duration. Here is what they shared on LinkedIn:

  Pragati Bangad: "I am thrilled to share that I have completed "Microsoft AI Engineer Program" by Simplilearn! Over the past few months, I have deepened my expertise in machine learning, deep learning, and advanced AI frameworks like TensorFlow and Keras. This intensive program allowed me to build hands-on projects to understand AI better." Read more

  Ruoyu Su: "This program offers a comprehensive AI curriculum covering 10 courses. This learning journey significantly enhanced my practical experience with Python, Data Science, Machine Learning, Deep Learning, NLP, Generative AI, Prompt Engineering, LLMs, Model Training, Evaluation, Validation, and Optimization, and Microsoft Azure, while also allowing me to delve deeply into how modern AI systems are designed and applied in practice." Read more

  Thulob Shrestha: "I am pleased to announce that I have completed the Microsoft AI Engineering Program from Simply Learn. Here is to my six months of hard work!" Read more

  Pranav D: "I am excited to share another milestone in my learning journey. I have successfully completed the AI Engineer Master's Program from Simplilearn. … A big thank you to Simplilearn and the instructors for this valuable learning experience." Read more

  Anshul Chaudhare: "Learned the fundamentals of machine learning, worked with Python, and built some hands-on projects along the way." Read more

  James Tenney: "I am super excited to share that I’ve just completed the Microsoft AI Engineer Capstone course … I highly recommend Simplilearn to anyone looking to learn today’s in-demand professional skills." Read more

  Sabrina Lane: "I completed my Microsoft AI Engineer Program! So excited to have accomplished this." Read more