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
AI & Machine Learning Bootcamp

Cohort Starts: 3 Mar, 2025

24 weeks$ 8,000
Professional Certificate in AI and Machine Learning

Cohort Starts: 6 Mar, 2025

6 months$ 4,300
Microsoft AI Engineer Program

Cohort Starts: 11 Mar, 2025

6 months$ 1,999
Artificial Intelligence Engineer11 Months$ 1,449
Machine Learning using Python4 weeks$ 499

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AI Courses Advisors

  • Nicholas Beaudoin

    Nicholas Beaudoin

    Caltech CTME, Director of Strategic Partnerships

    Mr. Beaudoin is the Director of AI Programs at Caltech’s CTME where he works with strategic AI partnerships and also advises and teaches many of the CTME AI/ML related offerings.

      LinkedIn
  • Rick Hefner

    Rick Hefner

    Caltech CTME, Executive Director

    Dr. Rick Hefner serves as the Executive Director for Caltech’s CTME, where he develops customized training programs for technology-driven organizations. He has over 40 years of experience in systems development and has served in academic, industrial, and research positions. 

    Twitter  LinkedIn
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Know more about AI Courses

Why AI is the Perfect Career Choice for Problem-Solvers and Innovators

Artificial Intelligence (AI) is changing the game in many industries across the globe, thus this is the best time to venture into this field as it is both exciting and rewarding. A career in AI might be the best choice for you if you love problem-solving, data-driven decision-making, and working with cutting-edge technology.

What Skills and Tools Will You Gain from an AI Course?

The AI courses teach you the basic programming skills (Python, R) required and data analytics, machine learning, AI Model developments, etc. Moreover, you will learn about deep learning frameworks such as TensorFlow and PyTorch, which allows you to construct intelligent systems.

Unlock AI: Step-by-Step Learning for All

Most of the AI courses are based on beginners and carry you step by step from the code, algorithms, and AI. The easy-to-follow modules are easy to learn from, whether you are technically inclined or a complete novice in which case you will still understand the foundational aspects of AI.

From Beginner to AI-Ready: A Learner-Focused Approach

Though AI requires knowledge of mathematics, most courses simplify technical subjects such as linear algebra, probability, and statistics into more digestible lessons. Learning AI is interesting and practical with hands-on projects and real-world applications.

AI Supply vs. Demand: Unveiling Real Career Opportunities

With industries adopting AI solutions to drive efficiency and innovation, the demand for AI professionals is skyrocketing. Top AI jobs are in great demand all over the world (including in the UAE & India) such as AI Engineer, Machine Learning Scientist, Data Scientist, NLP Engineer, etc.

The journey may begin as an AI specialist or data analyst and progress to higher roles like an AI Architect, Chief Data Officer, or an AI Research Scientist. Staying updated and gaining hands-on experience can pave the path to managerial positions in AI-centric firms.

Can I Actually Make a Good Salary? – Breaking Down Potential Income

The salary averages for an AI engineer with no experience is substantial and very competitive, with entry-level offers starting at 50,000, and with senior AI specialists can hit up to double that. Because of its diverse salary prospects and growth potential, AI is one of the highest-paying careers.

Is This Course Going To Give Me The Preparation I Need? – Our Training Approach

The AI courses are usually very comprehensive where you can learn both the theoretical aspects and the practical implementation of AI. You learn via interactive learning, industry case studies, and real-time project work.

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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