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AI & Machine Learning Courses typically range from a few weeks to several months, with fees varying based on program and institution.
Program Name | Duration | Fees |
---|---|---|
Professional Certificate Program in Generative AI and Machine Learning Cohort Starts: 31 Mar, 2025 | 11 months | $2,500 |
Professional Certificate Course in Generative AI and Machine Learning Cohort Starts: 1 Apr, 2025 | 11 months | $2,500 |
Generative AI for Business Transformation Cohort Starts: 8 Apr, 2025 | 16 weeks | $2,499 |
Applied Generative AI Specialization Cohort Starts: 12 Apr, 2025 | 16 weeks | $2,995 |
Professional Certificate in AI and Machine Learning Cohort Starts: 14 Apr, 2025 | 6 months | $4,300 |
Microsoft AI Engineer Program Cohort Starts: 15 Apr, 2025 | 6 months | $1,999 |
AI & Machine Learning Bootcamp Cohort Starts: 28 Apr, 2025 | 24 weeks | $8,000 |
Artificial Intelligence Engineer | 11 Months | $1,449 |
Machine Learning using Python Classes starting from: 31 Mar, 2025 | 4 weeks | $499 |
Microsoft Certified Azure AI Engineer Associate: AI 102 Classes starting from: 3 May, 2025 | 4 weeks | $399 |
Amitendra’s expertise lies in utilizing data analysis and machine learning techniques to solve complex business problems and drive strategic decisions. As Chief Data Scientist, he leverages the power of data to create value and drive innovation.
Twitter LinkedInArijit is an engineering & product leader with expertise in building and deploying AI, NLP, GPT & LLMs at scale for Fortune 500 companies. As head of AI & ML at Pega, he owns the overall AI roadmap with a focus on AI applications across functions.
Twitter LinkedInA seasoned data science leader, with extensive experience in digital transformation. Throughout his career, Armando has leveraged his vast expertise in AI & ML to build infrastructure, create new lines of business and drive global implementations.
Twitter LinkedInEsteemed Professor at IIT Roorkee, holding a Ph.D. in Mathematics and Computer Science from IIT Madras. With over 20 years of teaching experience, he advocates the latest AI/ML and Data Analytics trends in his teachings, a valuable asset to our program.
Twitter LinkedInLeading as CEO at iHUB DivyaSampark, IIT Roorkee. An alumnus of IIT Kanpur with an MBA from KAIST, Manish is a seasoned innovator, fostering technological innovation at IHUB with a keen interest in AI & ML and analytics domain, making him an ideal advisor for our program.
Twitter LinkedInA passionate and successful corporate trainer who has delivered 150+ training sessions for corporates in India, Middle East, USA, and South East Asia for corporate clients like Publicis Sapient, KPMG, Capgemini, Coforge, ITC, DXC, Huawei, and IBM.
Twitter LinkedInDr. 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 LinkedInVenkata N Inukollu earned his Ph.D. in Computer Science from Texas Tech University. He received his Master’s degree in Software Systems from BITS - Pilani, India. He has interests in software engineering and testing in AI and machine learning.
Twitter LinkedInThe overall experience was outstanding. Since I am a working professional, I enjoy a flexible schedule. The classes were on weekends and did not collide with the working hours. So, it was conducive. The best part is that they take feedback regularly and work on it to improve the learning experience for the students.
I am thrilled to share that I have completed the Professional Certificate in AI and ML Course from Simplilearn, in collaboration with IBM and Purdue University in the United States. This transformative learning experience has significantly impacted my skills, and I look forward to advancing my career by solving industry-aligned AI and ML problems.
My overall learning experience was very enriching. This program helped me gain knowledge in data science and I am now looking forward to grabbing a role in the IT sector. The course content was elaborate and the instructors were very knowledgeable and ready to help.
I joined Simplilearn with great expectations, as it was recommended to me by a colleague. However, after putting in many hours in the live training, projects, quizzes, and reading materials, now I am feeling much more confident in my work environment. I am very pleased with the course and hope it will help me in my future career growth.
My experience learning with Simplilearn was very good. The course material was thoughtfully put together, making it easy to follow. The explanations were simple and clear, and the instructors were great. The support team was also super helpful. I highly recommend this course to anyone starting out in AI
I took Masters in AI program, which consisted of multiple classes. Overall the teachers knew the subject and covered what was promised. The industry-related projects were excellent, and it helped put into practice what we learned in the class. I would recommend these classes to anyone planning to enter the Data Analytics field.
Courses focusing on artificial intelligence (AI) are the programs that help you learn about the entire AI environment. Such Ai and Machine Learning courses are basically outlined at developed and novice levels and may be pursued at the student's convenience and against a particular enrolment cost. While not all the courses require you to learn Python, C++, or MATLAB, having some familiarity and background with these programming languages is worthwhile.
Due to the increased need for professionals with AI and machine learning skills, acquiring a certification in such domains might help open new doors for you. These Ai and Machine learning courses will sharpen your analytical thoughts, conceptualising techniques, and ability to analyze data. You will have all the intelligence and proficiency you need to succeed in this fast-paced industry if you have an AI and machine learning certification.
Given the growing complexity of the world's stats, AI and machine learning courses can ensure that ambitious professionals get prepared and qualified appropriately with the ability to confront issues in real life. Students may create a composite set of instructions for forecast models, deep neural networks, and other applications with AI and machine learning.
Moreover, such abilities may also lead to new possibilities in fields like marketing, real estate, banking, healthcare, and more that need a thorough grasp of AI and machine learning programs. Thus, if you need to keep one step ahead of the game this year, consider enrolling in AI and Machine Learning courses.
Programming, NPL, maths, coding, and CS, along with other areas, are all included in artificial intelligence. The programs on AI will go over noteworthy domains like;
Machine Learning (ML) - As a domain of Artificial intelligence, Machine learning allows computers to autonomously acquire knowledge through data while recognizing trends to develop forecasts with minimum human involvement.
Deep Learning - Deep learning acts exactly how specific knowledge is acquired by humans. It is possible to train deep learning models to classify data and find patterns in images, text, auditory, and other data.
Predictive Analysis - Predictive analytics, a subdivision of artificial intelligence, is a demographic-based technique utilized by data analysts to create inferences and test data to anticipate the chance of a specific forthcoming result.
Cloud Computing - AI cloud computing is integrated directly into the composition to automate repetitive tasks and organize work responsibilities. Private and non-private backend platforms may be observed, controlled, and self-repaired using AI techniques in a multi-cloud system.
Data management - Artificial intelligence is efficient enough to create records and automate inquiries via different data storage. Thus, by analyzing and developing real-time data, AI enhances cloud task loads like client relations, marketing, business planning software, and business logistics management.
A simple and flexible approach to advancing your understanding of artificial intelligence or developing new abilities is to enroll in online courses. Check out the advantages of seeking a profession in artificial intelligence;
Machine learning is expanding aggressively, yet there are not enough experts in the industry. A career in machine learning will be secure for you if you can match the expectations of big businesses by becoming an expert in the field.
Since AI and machine learning are in high demand, getting into the industry earlier will allow you to have hands-on experience with the latest trends and maintain an elevated level of marketability that will increase your worth to the company.
Your ability to solve problems methodically will improve by taking AI & machine learning courses. You will discover approaching and resolving complicated issues systematically with such programs.
The main reason AI & machine learning appears like rewarding job to many of you is the average income of a person in this career, which might go higher as time goes on, given the industry's growth.
Courses like ai & machine learning offered by the online learning platform Simplilearn provide in-depth topic expertise. Additionally, it gives several immeasurable benefits, including;
Engaging conversations in real time
Discover ChatGPT, OpenAI, and more well-known technologies.
Specialized hackathons
IBM's Q&A sessions
Experts in the field provide live online master courses
Certificate of Completion of the Programme
Top recruiting organizations will take notice of you, thanks to JobAssist.
Experiential, practical learning
There are considerable employment possibilities for students willing to enroll in online courses like ai & machine learning by Simplilearn at affordable fee structures. You must acknowledge the simple requirements, cost-effective fees, and durations for such programs.
Course Name |
Duration |
Course Fee |
Eligibility Requirements |
Professional Certificate In Artificial Intelligence And Machine Learning |
11 months |
INR 1,53,400 |
|
11 months |
INR 1,49,999 |
| |
11 months |
INR 54000 |
Not Available |
You have no better reason than to obtain certificates from the International University Of Applied Science, IBM, IIT Kanpur, MIT, Wharton University of Pennsylvania, Purdue University, and Simplilearn upon acquiring ai and machine learning courses. These certifications will authenticate your expertise in artificial intelligence & machine learning and allow you to hold a prominent position in reference to job prospects.
If you sign up for AI & machine learning courses with the Simplilearn platform, you will gain access to a wide range of employment prospects. Take a look at some lucrative career paths and the incomes that go with them;
Career Path |
Average Annual Pay |
Big Data Analyst | |
User Experience (UX) Designer/Developer | |
Researcher | |
Software Engineer | |
Business Intelligence (BI) Developer | |
Data Mining and Analysis | |
Research Scientist | |
Robotics Engineer | |
Big Data Engineer/Architect | |
Computer Vision Engineer |
Here are the best programs in AI and Machine Learning for beginners:
Here are some of the best AI and Machine Learning courses for intermediates:
Here are some of the best advanced-level programs in AI and Machine Learning:
The AI job market is thriving and is estimated to hit $191 billion by 2024 globally. The growth of Artificial Intelligence could create 58 million jobs across multiple industry sectors in the next few years, according to a report by the World Economic Forum. AI is already being used in several markets and it makes sense to upskill and embark on a career in AI.
Some of the most popular job roles in the field of AI and Machine Learning include:
Professionals and students hoping to become AI Engineers should first start learning the basics of AI, statistical analysis, data modeling, and know at least one programming language such as Python or R. They should then move on to advanced areas like data analysis, data manipulation, Hadoop, and machine learning. Knowledge of deep learning and business intelligence tools like Tableau or Qlikview would further enhance your AI career.
Machine Learning Engineers have lucrative salary prospects globally, earning an average of $114,000 in the United States. With experience and in-depth knowledge, Machine Learning Engineers can earn as high as $150,000 per year.
Industrial sectors such as information technology, FinTech, healthcare, BFSI, and ecommerce are best suited for AI professionals.
Professionals skilled in AI and Machine Learning are highly sought after in a wide spectrum of companies, along with tech giants like Google, Accenture, IBM, Amazon, and Microsoft.
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