Program 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.

• Who delivers this AI Engineer Course?

  This AI engineer course is delivered by Simplilearn in collaboration with Microsoft. Simplilearn provides expert-led training, live online classes, and hands-on projects, while Microsoft brings in-depth knowledge of its AI technologies and tools. This combined program equips learners with the skills and experience needed to build real-world AI solutions.

• 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 add strong credibility to your resume and validate your skills as a certified AI engineer, making you stand out to employers in the AI and tech industry.

• 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 all 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 topics in AI

  • Practical experience with leading tools like PyTorch, Azure, OpenAI, and more

• Who is eligible to enroll in this ai enginner course?

  This AI engineer certification course is open to anyone 18 years or older with a high school diploma or equivalent. While no prior experience is required, having a basic understanding of programming and mathematics is recommended to get the most out of the course. It’s an ideal choice for recent graduates, early-career professionals, or anyone looking to transition into the field of artificial intelligence.

• What tools and platforms will I learn to use?

  Throughout the AI engineer program, you’ll gain hands-on experience with key tools and platforms AI professionals use. These include Python, PyTorch, Azure, OpenAI and more for building and deploying AI models. You’ll also explore generative AI tools like ChatGPT, DALL·E, and other cutting-edge Microsoft AI technologies. These tools will prepare you to take on real-world AI projects across different industries.

• 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 to AI tools like Azure, OpenAI, ChatGPT, and more. Its focus on practical skills, industry relevance, and career readiness makes it a standout choice for anyone serious about building a career in artificial intelligence

• Are there any other online courses Simplilearn offers under AI & Machine Learning?

  Absolutely! Simplilearn offers a wide range of course options to help you upskill in AI and Machine Learning. Whether you're looking for advanced certification training or focused courses to strengthen specific skills, we’ve got you covered. Our programs are carefully curated to deepen your expertise and keep you competitive in the evolving AI & ML landscape.

  Here are some of the key programmes we offer under AI and machine learning:

  • Machine Learning Online Course

  • Generative AI for Business

  • Generative AI and Machine Learning

  • Introduction to Generative AI

  • Artificial Intelligence Course

  • Gen AI Certification

• 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.

• How can I become an AI engineer? What qualifications are required?

  You can become an AI engineer by following these steps:

  • Learn programming and mathematics: Build strong skills in Python, R, and essential mathematical concepts like linear algebra, probability, and statistics.
  • Enroll in an AI engineer course: Join a structured course to gain practical knowledge in machine learning, deep learning, NLP, and AI tools.
  • Work on projects: Apply your learning to real-world projects to build hands-on experience and a strong portfolio.
  • Earn certification: Obtain an AI engineer certification to validate your skills, improve job prospects, and help you start applying for entry-level roles such as AI engineer, machine learning engineer, or data analyst.

  Typically, a bachelor’s degree in computer science, IT, mathematics, or a related field is preferred. However, professionals from other backgrounds can enter the field by completing an course and earning certification, which provides the practical skills needed.

• What is the scope of AI engineering in India and globally?

  ​​​​​​​Globally, AI is a strategic priority for businesses. According to the Global Artificial Intelligence Report 2025, 87% of companies identify AI as a top priority in their business plans, and 76% are already using AI in some capacity. In India, the government is actively promoting AI adoption through initiatives like the "AI for Viksit Bharat" mission, which aims to deploy over 38,000 GPUs and develop India-specific large language models. These developments highlight strong career opportunities for AI engineers both in India and internationally.

• 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.
   

• Can non-technical professionals transition into AI engineering?

  Yes, non-technical professionals can transition to more technical roles by completing structured AI engineer courses and AI engineer certifications. These programs provide hands-on training in programming, machine learning, and AI tools, enabling professionals from diverse backgrounds to acquire the practical skills needed to enter AI and machine learning roles.

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

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

• Are online AI engineer course worth it?

  Yes, online AI engineer course are worth it, especially when they offer hands-on projects, mentorship, and industry-recognized certification. Our AI engineering course offers flexible learning for working professionals, provides practical experience with AI tools, and offers a structured path to acquire the skills required for AI and machine learning roles.

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

  An AI engineer degree provides academic knowledge over several years, covering theory broadly, while an AI engineer certification focuses on practical, job-ready skills in machine learning, deep learning, NLP, and AI tools. Certifications are shorter, career-oriented, and help professionals quickly gain expertise and credibility in the industry.
   

• What skills will I learn in the AI engineering course?

  ​​​​​​​In the Microsoft AI Engineer course, you will gain practical, industry-relevant skills to design, build, and deploy AI solutions. Key skills and tools covered include:

  • Python

  • Data Science

  • Machine Learning

  • Deep Learning

  • Microsoft Azure

  • Generative AI

  • Prompt Engineering

  • Natural Language Processing (NLP)

  • Transformers
     

• How valuable is an AI engineer certification for job opportunities?

  
  An AI engineer certification is highly valuable for job opportunities. It validates your practical skills in machine learning, deep learning, NLP, and AI tools, making you more competitive in the job market. Employers often prefer certified candidates, especially for those transitioning from non-technical backgrounds.

• Do AI engineers earn more than software engineers?

  
  Yes, AI engineers generally earn higher salaries than traditional software engineers due to their specialized skills in machine learning, deep learning, data analytics, and AI deployment. Companies value AI expertise for building intelligent systems and AI-driven products, which often leads to more competitive compensation.

• Which companies hire AI engineers the most?

  Many leading global and Indian companies are actively seeking skilled AI engineers to drive their AI initiatives. Here are some top companies that are actively hiring:

  • Microsoft

  • Google

  • Amazon

  • IBM

  • Accenture

  • Infosys

  • TCS (Tata Consultancy Services)

  • Wipro

  • Facebook / Meta

  • Apple

  • NVIDIA

• 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 AI and machine learning field. Common job roles 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 various industries, including IT, healthcare, finance, e-commerce, and technology services, offering ample opportunities for career growth.

• What is an AI engineer's salary in India?

  
  Salaries for AI engineers in India vary depending on experience, role, and location. Here are some average annual salaries of AI engineers based on their experience:

  • Entry-Level (0–2 years): ₹6,00,000 - 8,00,000

  • Mid-Level (2–5 years): ₹10,00,00 - 20,00,000

  • Senior-Level (5+ years): ₹20,00,000- 50,00,000