• Application closes on

    25 Jun, 2026

  • Program Duration

    6 months (6–10 hrs/week)

  • Learning Format

    Live, Online, Interactive

Why Join this Program

Corporate Training

Enroll your employees into this program, NOW!

    Learning Path

    • Induction Microsoft AI Engineer
      • Program induction to understand the structure, platform, and support system
      • Understand program outcomes and learning roadmap
      • Explore resources available on the Learning Management System (LMS)
      • Learn how to fully leverage the program
         
    • MS AI: Basics of Programming (Optional)
      • An optional beginner-friendly course for those starting their AI journey
      • Grasp the basics of digital logic, data representation, and programming
      • Explore compilers, interpreters, and coding essentials like variables, loops, and conditions
      • Practice writing programs using conditional statements and structured logic
    • MS AI : Python For AI
      • 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 utilize GenAI to become more efficient at Python
    • 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.
         
    • 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: Foundations - Build AI Agents and Extend Microsoft 365 Copilot

      • Explore AI agent fundamentals and Microsoft 365 Copilot architecture
      • Learn to extend Copilot via connectors, Copilot Studio, Azure AI Foundry, and SDKs
      • Compare low-code and pro-code paths to build custom agents for real business use

    • MS AI: Generative AI Literacy
      • 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
    • 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: 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: 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.

    Contact Us

    1-844-532-7688

    (Toll Free)

    29+ Tools Covered

    AIML_PythonAIM_JupyterAIML_VScodeAIML_Google ColabAIML_GitHub CopilotAIML_PandasAIML_NumPyAIML_SciPyAIML_SciKitAIML_SymPyAIML_SeabornAIML_MatplotlibAIM_Date_TimeAIML_KerasAIML_PytorchAIML_TensorFlowAIML_LangChainAIML_Hugging FaceAIM_OpenAIAIM_ChromaAIM_GradioAIM_PyPDFAIM_Dall-EAIM_ChatGPTAIML_NLTKAIM_OpenCVAutoGenMicrosoft Copilot StudioClaude-Dec

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      AI Engineer Course FAQs

      • What is the Microsoft AI Engineer Course?

        The Microsoft 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 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, and complete real-world projects to strengthen practical knowledge.

      • What are the program's features?

        This Microsoft AI Engineer Certification is a well-rounded program that combines in-depth learning with real-world application to help you build a successful career in AI. Key features include:

        • 140+ hours of live online classes led by top instructors to build a strong foundation in AI concepts
        • 25+ hands-on projects to help you apply what you learn in real-world scenarios
        • Capstone project that brings together key concepts and tools to solve a real-world AI challenge
        • AI-900 certification exam prep to boost your credentials and readiness for Microsoft's official certification
        • Expert-led masterclasses to deepen your understanding of advanced AI topics
        • Practical experience with leading tools like PyTorch, Azure, OpenAI, and more

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

        Unlike standard online AI courses, this AI engineer certification is developed in collaboration with Microsoft, the second-largest tech company in the world. The program offers live, expert-led sessions and project-based learning using AI tools like Azure, OpenAI, ChatGPT, and more. Its focus on practical skills, industry relevance, and career readiness makes it a strong choice for professionals looking to build a career in artificial intelligence.

      • What is the duration of this Microsoft AI engineering course?

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

      • What certification will I receive after completing this ai engineer course?

        Once you complete the Microsoft AI Engineer Certification, you'll earn a joint certificate from Microsoft and Simplilearn. In addition, you'll receive individual certificates for each module and a Microsoft Learn Badge. These credentials can strengthen your resume and validate your AI engineering skills, helping you stand out to employers in the AI and technology industry.

      • 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, and individuals looking to transition into the field of artificial intelligence.

      • 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 develop, train, and deploy machine learning and AI models.

      • 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.

      • What skills and tools will I learn in the Microsoft AI Engineer course?

        In this AI Engineer course, you'll build practical skills in Python, data science, machine learning, deep learning, generative AI, prompt engineering, natural language processing (NLP), large language models (LLMs), and agentic AI. You'll also learn how to develop, deploy, and optimize AI solutions using Microsoft Azure and AI services.

        The program includes hands-on experience with leading AI tools and frameworks such as PyTorch, TensorFlow, LangChain, Hugging Face, OpenAI, ChatGPT, AutoGen, Microsoft Copilot Studio, GitHub Copilot, and Azure AI. Through labs, industry projects, and a capstone project, you'll apply these technologies to solve real-world AI and automation challenges.

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

        After completing an AI engineer course, you can pursue a variety of roles in the artificial intelligence and machine learning field. Common career paths include:

        • AI Engineer
        • Machine Learning Engineer
        • Data Scientist
        • 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.

      • Which companies hire AI engineers the most?

        Many leading global and Indian companies hire AI engineers to develop AI-powered products, automate business processes, and drive innovation. Some notable employers include:

        • Microsoft
        • Google
        • Amazon
        • IBM
        • Accenture
        • Infosys
        • Tata Consultancy Services (TCS)
        • Wipro
        • Meta
        • Apple
        • NVIDIA

        AI engineering opportunities are also available at startups, research organizations, consulting firms, and companies across industries such as healthcare, finance, retail, manufacturing, and technology.

      • What is the average salary for an AI engineer?

        The global average salary for an AI engineer ranges from $100,000 to over $200,000 USD, though actual compensation is highly localized. In the US, packages often surpass $250,000 USD, while Indian professionals average ₹10,00,000 to ₹30,00,000+ INR. Total pay depends heavily on geographic location, experience, and specialization.

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

        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.

      • What is the difference between an AI engineer certification and an AI engineer degree?

        An AI engineering degree provides broad academic training over several years, covering foundational concepts, theory, and computer science principles. In contrast, an AI engineer certification focuses on practical, job-ready skills such as machine learning, deep learning, natural language processing (NLP), and modern AI tools.

        Certifications are typically shorter, more career-focused, and designed to help professionals build relevant skills and demonstrate expertise to employers.

      Recommended Learning Materials for Upskilling

      Explore free webinars, tutorials, career guides, and practical reads to go deeper

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      • Acknowledgement
      • PMP, PMI, PMBOK, CAPM, PgMP, PfMP, ACP, PBA, RMP, SP, OPM3 and the PMI ATP seal are the registered marks of the Project Management Institute, Inc.
      • *All trademarks are the property of their respective owners and their inclusion does not imply endorsement or affiliation.
      • Career Impact Results vary based on experience and numerous factors.