Our AI Courses Duration and Fees

AI Courses typically range from a few weeks to several months, with fees varying based on program and institution.

Program NameDurationFees
Microsoft AI Engineer Program

Cohort Starts: 27 May, 2025

6 months$1,999
Professional Certificate in AI and Machine Learning

Cohort Starts: 28 May, 2025

6 months$4,300
Artificial Intelligence Engineer11 Months$1,449
Machine Learning using Python4 weeks$499

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Know more about AI Courses

What are Product and Design courses?

Product and Design courses are comprehensive professional certification programs that offer training in key areas like product management, UI/UX design, and product lifecycle strategies. These courses help professionals develop skills in designing user-centric products while aligning with business goals. Learners are taught methods for ideation, prototyping, user testing, and iterative design processes, focusing on blending creativity with technical knowledge to create effective, market-ready products.


What do our Product and Design courses entail?

Our product and design courses will help you master product strategy, roadmapping, and lifecycle management while learning to design engaging user interfaces. The courses integrate disciplines like engineering, UX/UI design, and marketing by including ideation, prototyping, testing, and iteration to ensure the final product is effective and user-friendly. These product courses are designed to boost your career and drive innovation.

Benefits of enrolling in our Product and Design courses

The Product and Design certifications create a strong foundation in design principles and the ability to turn creative ideas into tangible products. Simplilearn's product and design courses offer:

  • Industry-relevant curriculum: Courses are designed to align with current industry trends, ensuring you learn skills that are in demand.

  • Hands-on projects: Gain practical experience through real-world projects that help solidify your design skills.

  • Expert instructors: Learn from industry professionals who bring their expertise and insights into the classroom.

  • Flexibility: Online courses offer the convenience of learning at your own pace, fitting into your busy schedule.

  • Career support: Access to career services, including job placement assistance and networking opportunities with industry peers.

Careers to pursue after completing our Product and Design course

  1. Product Designer: Conceptualizes and creates products that solve user problems or meet market demands. Works with engineers, marketers, and manufacturers to bring designs to life.

  2. UX/UI Designer: Creates user-friendly digital products by researching, creating wireframes, and collaborating with developers to ensure intuitive and enjoyable user experiences.

  3. Industrial Designer: Designs mass-produced products like electronics and furniture, focusing on functionality, manufacturing efficiency, and user comfort.

  4. Design Researcher: Gathers user insights through research to ensure products meet real needs and align with market demands.

  5. Interaction Designer: Designs interactive elements for digital products, such as buttons and animations, to enhance user experience.

  6. Packaging Designer: Designs packaging that protects products and appeals to consumers, balancing creativity with practicality.

  7. 3D Modeler: Creates digital representations for prototyping, manufacturing, or marketing, essential in early product development stages.

  8. Innovation Consultant: Advises companies on product innovation, market research, and improving existing designs to stay competitive.

AI Training Courses Online FAQS

  • 1. What are AI courses?

    AI courses are comprehensive learning programs focusing on building strong technical skills. These courses focus mostly on core artificial intelligence areas such as machine learning, deep learning, neural networks, and natural language processing. The sole objective of an AI course is to educate students on the unique features of AI technology, advanced tools, and AI practices.

    An AI course also focuses on building generative AI models, mathematics, coding, and a deep understanding of AI algorithms that are used to generate models, give commands to machines, or analyze data and interpret results. 

    In other words, an AI course is a doorway to exploring how this technology serves as the simulation of human intelligence in machines and trains them to act like humans. Signing up for an AI course is also the perfect way to discover the surprising capabilities of this revolutionary technology in detail.

  • 2. Who can enroll in AI courses?

    Individuals who have basic computer knowledge and are keenly interested in exploring artificial intelligence technology can enroll in AI courses of their choice. There are numerous AI courses designed for learners starting from beginners to advanced-level learners. 

    Beginner-level AI courses have very basic prerequisites, such as 10th or 12th-grade degrees with a science background and basic computer skills. However, advanced-level AI courses may require the candidates to acquire STEM or bachelor's degrees with a focus on computer science and related fields. Some advanced courses also require the attendees to have prior programming knowledge.

    Precisely, anyone eager to acquire knowledge in AI technology can enroll in AI courses and hone their skills, but having a computer science background eases up the learning journey.

  • 3. What skills will I learn in an AI course?

    The main focus of an AI course is to hone the skills of a learner; therefore, not just one, there are numerous skills to acquire from these courses. AI courses emphasize mostly on technical concepts and techniques, and the different types of technical skills you can learn are as follows:

    • Machine learning

    • Deep learning

    • Programming 

    • Statistics

    • Data science 

    • Natural language processing

    • Data engineering

    • Data analysis

    • Problem-solving

    • Prompt engineering

    • Generative ai techniques

    • Data warehousing and processing

    • Neural networks 

    • Decision-making 

  • 4. What are the career opportunities after completing an AI course?

    There is an excellent career prospect in the artificial intelligence field after attending an AI course. From the freedom of selecting your career to the generous salary packages and the high-rewarding jobs to look forward to, there are a lot of advantages associated with pursuing AI courses. You can choose from numerous AI-related roles and build a successful career ahead. 

    Here are some of the best AI roles you can fulfill after attending a course:

    Job Roles

    Average Annual Salaries in INR (₹)

    AI Product Manager

    ₹29,00,000

    AI Scientist

    ₹18,00,000

    Data Scientist

    ₹14,15,000

    Artificial Intelligence Engineer

    ₹11,00,000 

    Machine Learning Engineer

    ₹11,00,000

    Natural Language Processing Engineer

    ₹9,00,000

    AI Prompt Engineer 

    ₹6,75,000

    Data Analyst

    ₹6,70,000 

    Robotics Engineer

    ₹5,63,125

  • 5. Are AI courses suitable for beginners?

    There are numerous online courses in AI that are specifically designed for beginners with no or minimal experience in artificial intelligence. For instance, Simplilearn boasts an incredibly long list of beginner-friendly AI courses that can help you start your learning process on the right foot.

    From introductory courses to the ones focusing on core AI concepts, if you are looking for the best AI courses exclusively designed for beginners to begin with, here are the best options for you. 

  • 6. Do AI courses offer certifications?

    Yes, absolutely, if the AI courses are chosen from reputable and accredited online learning platforms like Simplilearn, they are paired with certifications that contribute to career prospects and enhance industry recognition.

    Not only do these certifications make the candidates more job-worthy in the market, but they also become noticeable from the remaining talent pool, becoming a trained and experienced professional ready to face the challenges of real-world professional life in the field of AI.

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