No Code AI and Machine Learning: Building Data Science Solutions

The course is exactly as advertised.  One needs to have some background in data as well as a keen interest to learn.  There is a Pre-Work syllabus that gets everyone prepared for the course ahead.  For me it has been a perfect blend of theory (data science), real world applications by way of examples and projects, and the support to learn how to use AI applications common to the industry.
I am confident that I am now able to understand how AI and ML fit into every facet of the business world.  The depth of the course has also allowed me to appreciate the technical aspects of the various approaches to AI and ML.  And most of all the course has provided me with the tools necessary to bring together a wide range of data and to structure the data in such a way to allow me to create my own AI models and solutions.
Overall, it’s been a great experience.

This was a great program and I cannot stress how much the people here want you to succeed. If you have any questions or problems, then they will help you to solve them. There are 2 things I wish were made clearer though when applying. 1) all INDIVIDUAL assignments need to be passed with an 80 or higher, not just the class. That is a small, but important piece of information that I wish was made clearer. 2) There is a LOT of math involved. They really go into the mathematical/statistical theory behind all the formulas you use, which is great, but a lot of information     Overall, this was a great program that I’m happy I did. I feel like I know much more about how AI works and can utilize those skills to better myself and my job. 

I participated in this course as an organizational leader and to develop an understanding and application for AI in the business environment.   The course provided an excellent overview and history of machine learning and AI and proceeded to dive into very detailed learning exercises to help understand how AI can be used to solve multiple business problems.  There was ample hands on opportunity to use various softwares without going too in depth with actual coding.   Overall the instructors and mentors were excellent.  I would recommend this course to those looking for a great introduction to managers and future systems personnel who will have responsibility for implementing and utilizing no code tools.  

No Code AI and Machine Learning: Building Data Science SolutionsWhile the format of this course is condensed, it would be a misnomer to describe it as a primer, as it provides hands-on instruction and experience with ML based tools, which are both invaluable for those who wish to deploy AI and ML methods rapidly into their workflow, as well as those seeking to expand into more technical areas.  Upon completing this course, students will have a fundamental understanding of how and when to apply AI and ML systems, what is involved in doing so, be able to evaluate and improve models towards a particular objective, and characterize the benefits and limitations of such systems.  It is hard to overstate the value this skill set provides learners.StructureThe courses are broken up into various modules that build on the skills and understanding gained through the previous.  Each module features a précis and text & video format instruction, and live instruction with expert faculty.  Great consideration is shown for workload to ensure that the pace is amenable to even the busiest schedules.  The concerted efforts of MIT and Great Learning staff have created a well curated syllabus delivered through a perspicuous interface.Resources and FacultyNo less impressive than the course and it's content are the incredible array of people and tools at the disposal of learners.  I had the great experience of working with two amazing advisors who truly inspired me with their devotion to ensuring success.  The platform makes provision for students to reach out to other students, faculty, and advisors readily, and multiple channels of communication are provided so that students stay apprised and on top of each step.Tools & SkillsThe program gives participants experience using powerful tools like RapidMiner and Dataiq so that they can immediately integrate their understanding in practice.  Perhaps more importantly, the fundamental principals underlying the mechanisms and metrics of how these tools operate, such as linear regression, k-mean clustering, partial autocovariance functions, loss functions, et. al. are packaged like nested matryoshka dolls, ensuring that students receive the essential understanding, but allowing those interested a range of academic materials, links and resources to explore the topics at greater depth.ValueThis course is both an excellent first step into the realm of data science and ML AI applications or a concomitant to a robust technical background.  While this course is not all encompassing, (it does not entail coded applications, nor is it a surrogate for an graduate degree), it's value in terms of utility is profound as most of the demand for AI and ML applications will be from small to mid-size companies that do not have the resources to commit special data science professionals and compute to their particular use cases and will need both guidance and rapidly deployable solutions of the type that are particularly amenable to the no code tools offered in this course.  I highly recommend this program and would like to express my sincere gratitude to the faculty and staff.

Unlocking the Power of AI and ML without codingAs someone deeply fascinated by the field of AI and machine learning, but without a strong coding background, I discovered the "MIT No Code AI and Machine Learning: Building Data Science Solutions" course. This course promised a deep dive into AI and ML without the steep learning curve of programming, and it delivered spectacularly.Content and Structure:The curriculum was meticulously crafted, offering a blend of foundational AI concepts and practical applications. Modules like 'Understanding Machine Learning Models' and 'Implementing AI Solutions Without Code' were particularly enlightening. The course demystified complex topics, making them accessible and engaging.

Focus on No Code AI and ML:The course’s emphasis on no-code solutions in AI and ML was its standout feature. It introduced tools like RapidMiner, showcasing how powerful AI models can be built and deployed without writing a single line of code. This approach is making AI more accessible to a broader audience.

Learning Outcomes:Post-course, my understanding of AI and ML has deepened significantly. I gained practical knowledge in building AI models and an appreciation for the potential of no-code platforms in democratizing AI technology.

Target Audience:This course is ideal for professionals looking to integrate AI into their work, educators seeking to incorporate AI into their curriculum, or enthusiasts eager to learn about AI without the prerequisite of coding expertise.

Overall Experience:My experience with this course was overwhelmingly positive. While more advanced topics could have been explored in greater depth, the course provided a solid foundation and stirred a deeper interest in the field.Conclusion:I wholeheartedly recommend this course to anyone curious about AI and ML but hesitant about the coding aspect. It's an enlightening journey through the world of AI, made accessible and engaging by MIT's expert instructors.

This is a great way to round out your tool box. Adding autoML and analytical skills to your toolkit is a great investment. Great Learning offers that opportunity at a good price, while maintaining value.This course covers the entire machine learning workflow: teaching ML from an Ops perspective, as well as the practical application with powerful tools.

Great place to start your professional education, weekend focused !Need to have good commitment as the course has lot of information and tools , and you will be having everything to work independently. Mentored session and Q&A sessions or bonus, they are usually already covered in the recorded videos. 

I enjoyed this program and it was an eye opener and helped me to refresh my knowledge. I advise those experienced consultants who don’t want to learn Python or to use any programming language to take this course.

I am in the 12th and final week of MIT Professional Education’s No Code AI and Machine Learning: Building Data Science Solutions course which has provided an in-depth exploration of AI's business applications and hands-on implementation. This course has equipped me with a firm understanding of prevalent AI algorithms, emphasizing the use of no-code tools to construct practical solutions. The program fostered critical thinking and problem-solving skills for tackling real-world challenges through AI. By creating intelligent prototypes and models, I will be ready to contribute to data-driven decision-making upon completion. I recommend this course to individuals without prior experience in data science who are looking to cultivate their knowledge of the AI landscape and drive impactful change within their organizations. It's a valuable investment in your professional growth with regards to AI and ML and it's vast potential across all lines of business. 

I highly recommend the school where I studied IA.  It stands out for its impeccable organization, high-quality explanations supported by practical examples of great academic value and support staff with exceptional human quality.  My experience was truly exceptional.

Hi AllIt is an amazing journey for me to learn with Great LearningThis course let me understand various kinds of machine learning and AI model.There are many fruitful resources, and definitely you can get some insights for many industryAlso, there are mentored sessions that we can share industry experiences with our lecturerThanks

One of the best training courses I have followed.Very complete and very interesting.Whether it was for the course content or the mentoring sessions, it was intense but really beyond my expectations.This training actually requires at least 8 hours of personal work.Ruchika Jain, my program manager, has always been kind and very understanding.

Found out about the course online. Sign up process was smooth. Course was very informative, dense but well-spaced, it involved practical applications, and the course staff provided amazing support! 

There are too many good things to mention. The two that impressed me the most are the support and the content. I have previously taken a course about data science from a reputable institute; it did not even come close to how well this one was structured. In a matter of 1 week, they thoroughly covered more than what a course covered in a semster. For the support, my program manager Ruchika Jain, made sure I have all I need to complete the course. She pulled all the stops to assist in my performance. Seriously impressive care; support teams should follow her ethic. 

This was an excellent course of instruction - not only in content, but in terms of administration as well!  Thank you Priyanka and all the instructors and mentors for your professionalism and dedication to helping all learners fulfill their goals in connection with this program of instruction.

I recently completed the Great Learning MIT No Code AI/ML course, and I must say it exceeded my expectations. The program was very streamlined, beginning with an orientation that clearly outlined what to expect and the criteria for successful completion.The program manager, Shaumya, was exceptional in ensuring that we were always informed about upcoming assignments and classes. Her understanding and flexibility were especially appreciated; she accommodated special requests and understood that we might miss deadlines due to our busy schedules.The faculty, Frederic Premji, was remarkable in his teaching approach. His pace was commendable, ensuring that all students thoroughly understood the material and had no lingering doubts.An additional highlight was the optional classes led by Peyman Hessari, which were instrumental in providing practical, hands-on experience with AI/ML tools. This aspect of the course was invaluable, especially for professionals like me who are keen on applying theoretical knowledge in practical scenarios.Overall, this course is not just for individuals in business fields but also for hands-on professionals who aspire to create models. The knowledge I gained from this course is already benefiting my colleagues and me in our work.I highly recommend this course to anyone looking to delve into the world of AI/ML without the need for extensive coding knowledge.

MIT No Code AI & ML Course There is a lot of good to say about this course. It is both densely theoretical and heavily practical. Theory is really important to understand what is behind the scenes of AI and ML. It would be useless to just learn to handle software w/o this knowledge. Instructors are very good, but I think there is a lot to learn from Dr. Huettenegger style, both because of the precise content of his lectures, but also his concise language, as well as his clarity and emphasis on the right issues and moments. A really good instructor with a great lecturing style.My industry Mentor (Denver Dias) was also precise in the mentoring sessions and on his answers to our questions. Overall, very good.My Program Officer (Priyanka Kothari) was great in keeping us posted and updated of scheduled sessions and coming assessments and projects. She was also super attentive to our pace of learning and understanding of our other responsibilities (most, if not all learners, worked full-time).The workload may seem heavy at times (most of the time). Easily 5 to 10 net hours/week of material to review (videos, handouts, presentations) plus 2 hours of mentored mandatory sessions and another 2 of non-mandatory practice per week. Everything is recorded, so it is accessible later if anything was missed or needs to be reviewed. Assessments are 15 to 30 minutes more (not a big deal) and projects can be heavy. Only three projects during the entire course, but between 10 and 20 hours of work each (it could just be me). Those were hard, but also rewarding "real" challenges.Just one comment about the recorded lectures, their written transcripts were mostly word-by-word transcripts of the lecture including repetitions, unclear wording and everything that is common in an actual verbal presentation. These texts could be simplified. Editing those written transcripts for clear and clean language would be beneficial.Overall, highly satisfied and amazed I got involved into such a long, deep, and hopefully transformative experience. Highly recommendable but be sure to be prepared for everything I described above.

Should We Create Yet Another Human Think Tank Collaboration?
 
Like many of you, I’m just now finishing my Great Learning course from MIT in AI, ML, and Data Science. However, unlike you, I am 85 years old, so my goals and objectives are probably quite different from yours. I signed up out of curiosity and with some trepidation, as my background is in language, linguistics, and in WORDS, not numbers.  Despite a poor background in mathematics and no formal experience in statistics, as an independent multicultural consultant and community development person, I’ve managed many million dollar budgets and have provided professional guidance and funding for teams of scientists, researchers and educators in several academic and technical disciplines. 
 
Mostly, I signed up because I’m hungry.  I am fascinated by what’s happening to us, to all of us, as humans, and I want to know what role to play in this critical time of transition.  For each of us, as we wake up each morning on our own side of this tiny planet, do we check ourselves out to see how we’re doing?  Are we ok, doing well? Do we know how to be happy?  Are we being fully human? Are we building a world that’s worthy of all that’s best in us?  Can we even do that? What are these tools, and how can I use them to make my life, my world, amazingly and almost miraculously better? Might these tools hold the key that enables me, as an earthling, to become the best human “me” that’s possible?
 
I am not an algorithm or a bot. This is being written freehand by me, a human, just a sort of smart and adventuresome old lady sitting here with my laptop and a cup of coffee; here in this resilient solar-powered home I built; here on earth; thinking about YOU out there. You reading this.  You thinking about what to do with your life.  You, imagining what it would be like to become the best human possible
 
So I urge you to jump on board this amazing space ship.  Don’t be afraid to learn.  Don’t hesitate to trust yourself. Recognize and accept that you, as a human, already have access to the most amazing tools imaginable.  Let’s learn to use those tools in the best way possible.  Let’s bring every person along with us: every child, every refugee, every prisoner, every migrant farm worker, every homeless person; every entrepreneur, engineer, doctor, and business person; every millionaire or billionaire; and especially every politician, media person, and technology guru – let’s create some worldwide ways to ask the right questions.
 
And let’s find out how best to deal with the answers we get – the point being to Remain Human. 
 
With profound thanks to Great Learning for this course, for opening my eyes yet a bit wider, and for the wonderful guidance of Shruti Prakash, my Program Manager and mentor, and her excellent team. And to all my teachers, I ask:  Might we, could we, would you help me leave a legacy for future humans?  I’d like  to build some exceptionally adaptive learning situations centered on lessons to be learned in Nature, Science, Spirit, and Radical Systems Thinking – right here in the high desert rural wildlands of Colorado’s Rocky Mountains, inspired by star-gazing and other adventures at the The Great Sand Dunes National Park. Let’s think about that. 

Priyanka Kothari was my program manager for the No Code AI Machine Learning course through MIT/Great Learning. She was always incredibly helpful, attentive, and helped me stay on track as major life changes happened during the time I was taking my classes. Thank you, Priyanka!

I am glad that I have taken this course "No code machine learning  and AI" from MIT and happy to have great faculty who are  MIT professors (PhD) and professionals with immense knowledge on AI/ML and strong industry experience.  Thanks to the Great Learning Training team and program management team (especially Meher) for making this program a great experience for students like us.  This course not only provides deep knowledge about the AI/ML, guide on project use cases,  but also educates on how to leverage the Tools like RapidMiner, Dataiku, etc.  Overall, I strongly recommend this course to anyone seeking for No Code AI/ML.