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Applied Machine Learning Course

The Machine Learning course that gets you HIRED!

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  • No prerequisites
  • 24*7 customer service
  • 140+ hours of content
  • 12+ real world case studies
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What is appliedaicourse.com?

What is appliedaicourse.com?

AI vs ML vs Data science vs Deep learning?

Applied AI /Machine Learning Course Introduction

Applied AI /Machine Learning Project

Our Teaching Methodology

Job oppurtunities in AI

Applied AI Course Vs Coursera/Udacity

why applied ai / machine learning course?

Job Guarantee or Money Back

Land a Machine Learning job within 6 months of course completion or cash-back.
Check our terms & conditions here

Build a Portfolio

We help you build a portfolio of your work to showcase it to potential recruiters and peers.
View sample portfolio

Customer service

Our team responds to most of the customer queries in under 24 hours.
Check out our Team

IPython Notebooks

We provide working code samples and data analysis as IPython notebooks.
View sample IPython Notes

Right Balance Between Theory & Practical

World class content that focuses both on theoretical and applied aspects of artificial intelligence.
Check out our syllabus

AI Projects/ Case studies

Frequently Asked Questions

Please mail us to "team@appliedaicourse.com" if you are unable to find an answer

The AppliedAICourse attempts to teach students/course-participants some of the core ideas in machine learning, data-science and AI that would help the participants go from a real world business problem to a first cut, working and deployable AI solution to the problem. Our primary focus is to help participants build real world AI solutions using the skills they learn in this course.
We are building our course content and teaching methodology to cater to the needs to students at various levels of expertise and varying background skills. This course can be taken by anyone with a working knowledge of a modern programming language like C/C++/Java/Python. We expect the average student to spend at least 5 hours a week over a 6 month period amounting to a 150+ hours of effort. More the effort, better the results. Here is a list of customers who would benefit from our course:
  1. Undergrad (BS/BTech/BE) students in engineering and science.
  2. Grad(MS/MTech/ME/MCA) students in engineering and science.
  3. Working professionals: Software engineers, Business analysts, Product managers, Program managers, Managers, Startup teams building ML products/services.
  4. ML Scientists and ML engineers.
Yes, we do give a course completion certificate. We also help participants solve real world AI problems using publicly available datasets. We encourage the participants to document their work (code, plots, models and outcomes) on github. This github profile could be used by our participants to showcase their work to their peers and potential employers. This is similar in idea to a portfolio for photographers, models, artists, designers etc. We believe that the portfolio of work built by the participants is more important than the certificate.
We expect all of our participants to be able to go from an open ended business problem to a working, first-cut and productionizable AI solution. Undergrad/Grad students could use this course to work on their projects that would involve considerable AI components. They could also use the portfolio they build to strengthen their resume for AI engineer positions in the industry. Working professional could use this course to showcase their learnings to their peers and teams so as to move from software-engineering roles to AI engineer roles if they choose to. Product managers would be able to gain a deeper understanding of AI which they can use to better design their products leveraging AI.
This course will focus on practical knowledge more than mathematical or theoretical rigor. That doesn't mean that we would water down the content. We will try and balance the theory and practice while giving more preference to the practical and applied aspects of AI as the course name suggests. Through the course, we will work on 10+ case studies of real world AI problems and datasets to help students grasp the practical details of building AI solutions. For each idea/algorithm in AI, we would provide examples to provide the intuition and show how the idea to used in the real world.
We love the work done by Coursera, Udacity and Udemy in this field. We are standing on their shoulders to push the horizon a little further. Following are the key differences:
  1. AML is very applied in nature. We cover topics like posing a real world, open ended business problem into a ML problem and machine learning process while leveraging case based teaching. All of our content will be motivated through examples to make it accessible to all.
  2. Our courses are targeted at a significantly wider audience than other courses: every one from a Undergrad student to a ML Scientist can benefit from them.
  3. Our courses are hyper-personalized through ideas like Content maps(explained later) which help students learn at their own pace to reach varying degrees of expertise. This course is designed in such a way that an ML expert can revise the fundamentals using this course in just a day. This course is also designed such that someone who has no background in ML can spend 6-12 months learning all the details.
  4. In addition to giving a course completion certificate, we help our participants build a high quality portfolio to showcase their skills to potential employers.
  5. Unlike some of the online courses, we provide a 24 hour guarantee to respond to any questions you might have regarding the content in the course. We believe that helping our students as quickly as possible keeps them motivated.
  6. We have contextual comments where in any student can leave us a question/comment/rating at any instance of time in the videos. This enables us to understand the students’ concerns and modify the content accordingly.
  7. The course content is highly dynamic. It is constantly edited and modified based on feedback from our participants.
  8. For each concept, there will be varying levels of details provided so as to cater to various audience segments based on their desired outcomes.
  9. This is our first attempt at building a good applied ML course to cater the widest possible audience. We will learn from the feedback from our participants during the course of the next few months and modify our course extensively.
Given our background in the industry, we believe that students completing this course and building a strong portfolio consisting of multiple projects stand a good chance of getting an ML engineer job in the industry. But, we cannot guarantee that. We would surely refer you to various teams, hiring managers and recruiters in the industry who are looking to hire ML engineers.
We are building this course like a “workbook” and not like a “textbook”. It is hard and uncomfortable to share a workbook which has lots of content that the participant generates overlayed with the course content. If multiple people use the same account credentials to go through this course, it would result in very sub-optimal results for all. Additionally, all of the content in this course is copyrighted and piracy of this content is punishable by law.

Our Team

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Srikanth Varma

CO-FOUNDER
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Murali Krishna

CO-FOUNDER
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Naveen Bade

Founding Engineer
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Brahma Reddy

Founding Engineer
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Srinivas Reddy

Founding Engineer
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Satish Atcha

Founding Engineer

Our Advisors

Testimonials

Our students come from wide spectrum of backgrounds ranging from undergrads at small engineering colleges to experienced engineers at Google/Microsoft/Amazon.

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Rimesh Jotaniya

Overall course is really good among other courses available on the internet. It gives a good understanding of what a machine learning can do and can not.
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ramamurthi kumar

The course was awesome. the faculty was so patient in explaining the AI concepts in a clear and concise way. Doesn't matter how many times we ask, he explained it without any hesitation. he and his team helped us in many respects. great work team. Wanna be like you(Seriously). please tell me the eligibility criteria.
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Kaushal Sahu

All the concepts were explained very well. Anybody can learn it in 3-4 months. Overall had a very good experience.
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Sanjay Rakshit

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Varma explained each and every concept very intuitively, the concepts were made easy but never watered down. There was a good balance between theory and applied aspects of every concept. It didn't take time to grasp the concepts even though I didn't know any of them beforehand. I would suggest anyone who is serious about ML to take this course.

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Sai Manoj Kumar Susarla

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The course is extraordinary. The concepts which you explained are clear. This course made me think that machine learning is trivial subject to learn. Got an idea about how actually the real world works on machine learning.

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Kirti Ramrakhyani

the course was awesome. Also explain some sample programming code along the with topic .
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Pushpanjali Prasad

Course is very good and concepts are really useful.
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Darshan Vandra

This course is the life changing course for me. I am so inspired by mentors mostly Brahma sir and Varma sir to work hard and got convinced my self to do the things that i can never even assume before joining this course. Specially the industrial experience shared by Varma sir is the most inspiring and very very important. I will tell everyone who have any type of confusions with Computer Science regarding fields then this is the place where you will get solution of each and every doubts. Thank you so much for giving me the opportunity to sit in front of you and get inspired and learned a lot.
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Arun G Ghontale

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Few courses have impacted me as has this course. The right blend of theory and practicality ,good enough for any person to get started of in this vast field of data science. You could easily find the course content taught here, anywhere on the internet(MOOCs primarily) but what makes this course distinctive from others is the self-paced and the experiential(learn-by-doing) learning which assumes no pre-requisite other than basic programming knowledge. The quality of case studies and assignments can't be enunciated enough . The case studies are challenging enough to get you the feel of industrial setup and are equally enjoyable ,especially due to such immense support given by the course instructors and especially Varma Sir. The course instructors here are highly qualified(evidence - their linkedin profiles) and anyone taking this course would be getting high value for the money spent, assuredly. The highlight of this course is not just in the content but the portfolio you get to build over the period of the course. Such a portfolio could easily help get calls form top tier companies for the role of data scientist. Anyone from a newbie to a working professional looking for an entry into the data science field, look no further ahead than this course.

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Anisha Paul

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This was a wonderful experience of learning applied Machine Learning. Being applied in nature, there was a good balance between theoretical maths and intuition of the concepts. Varma sir was excellent in breaking a complex topic into simple subtopics which would clear our understanding at the molecular level and at the same time giving a 10,000 view of the concept in order to increase interpretability of the same. The best part of the course was,mostly sir used publicly available resources which is easily accessible by anybody. He is a great teacher as beside teaching ML, he also taught us how to learn from the internet which would be super useful all throughout our life. Coming back to the course, it included a lot of assignments which would help a student in improving the practical area alongside learning concept. Sir given graphical interpretation of every concept which made the concept even more interesting and added a lot of clarity. He gave a great level of importance and dedicated lot of time and effort in making us understand where things fail which is a MUST for any real world implementation. For me it was an awesome experience so I highly recommend this course as a must take for anyone who has interest in the areas of machine learning.

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Shashank Ramesh

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I would like to start by a big thank you as the care and efforts put in by Varma sir to demystify the world of artificial intelligence is unparallel and I consider my self privileged to have gotten the chance of learning the course from him in person.I strongly believe that he is a teacher and his teachings which moulds a student and helps one identify his capabilities, sir i must say your course has helped me develop an innate liking towards artificial intelligence and helped bring out the machine learning scientist within me. It has also influenced me to choose machine learning as a career path which I would like to pursue in my future.The course is very well structured with the optimum balance of theoretical and applied aspects, is nicely interwoven, and taught in the best way possible by Varma sir. If I were to suggest, is a must to explore the field of artificial intelligence.

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Souparna Das

Everything is great. Only thing is if the overall curriculum was bit more structured it would help some students. It’s very good if someone is only doing ML. I learned a lot. Sir has so much knowledge about the industry that sometimes he jumps from one topic to something related to industry very fast, it’s good to know all those but if it happens between a tough topic some students' mind may be distracted(what I think he can do is complete the theory of a topic completely then discuss its relation to the actual industry).Otherwise he is exceptional.
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Kanav Bansal

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Taking this course turned out to be the best decision. This course is meant for the people, who love to dig deeper and learn by practically doing things. Fortunately I love to practically implement whatever I learn. I liked the real world examples that were used for more in-depth understanding of each concept.Apart from Machine Learning, I learned to learn myself, which is definitely the most important skill.

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Nikhil kumarjangamreddy

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This course is a very good start to improve your ML skill set. Varma explains the topics very well to an extent that even a beginner can understand it. This course helped me to understand techniques for scaling ML algorithms to real world problems. I highly recommend this course to anyone who are planning to kick start their career in Machine learning field. Thanks to Varma and his team, good job!

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Sai tejanalla

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Fortunate to have someone like Varma as a mentor and instructor.Everything from ground roots to the top notch level is covered. Anyone from any background can understand and apply them. Very applied rather than theoretical. Math is made simpler. For the people who face difficulties with math this the best platform. Machine learning experiences in solving various problems, applying machine learning in a business, solving a real-world problem, deploying it, many more practical aspects of machine learning which can't be learned unless we work in the industry are taught by Varma. Learning how to learn a new concept, tool or technology is the most important thing taught by Varma. Projects are another important phase of learning which is given more importance and excellent guidance. Doing project is the real fun. It was a one on one interactive discussion with Varma which just replicates the project approval meetings with a product manager in a company. It was the real machine learning. He has a unique way of teaching things. I turned down job offers to pursue this. Now I feel this is one of the best decisions I've made. Team is super passionate, super awesome and super energetic.

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Dandi Sai SreeHari Prasad

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What makes this course so unique from other ones is how well Varma puts all the complex math behind it into simple terms and connects it with real world applications and his personal experiences in the industry.This makes the course so interesting as well as inspiring.You can just keep on listening to his classes,you will never get bored

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Ramana Reddy

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Hi this is Ramana Reddy Sane. I've learned a lot from this course. As he worked on so many real world problems in Machine Learning , he knows the best way to get to the top of the mountain. There are so many people who can teach Machine Learning concepts from the book. But it is very important to know where things fail.Instead of focusing only on theoretical aspects like algorithms and their usefulness, he also taught us where we can apply this in real world and where it is already applied and getting Millions and Millions of profits. He always wanted us to think about where things won't work. He always emphasized on this thing. The one question that he asked every time we finished some topic is " Okay guys.., now you know all about what it is, tell me WHERE IT FAILS..?". It was amazing.

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Abhishek Srivastava

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Varma has been a really great instructor & his experience with top tech companies helped me gain great insights into applied aspects of Machine Learning.The classes were very engaging & interactive which made it easier for me to grasp key concepts with ease. Varma's approach of taking a problem from different angles has been one of the major highlights of this course. Further his strong background in Applied ML & Optimisation made it very convenient to understand the mathematics of ML.The projects & assignments were well structured & challenging, I would like to thank the entire support team for its preparation & evaluation.All in all this course has been exhaustive, challenging and fun. I am glad I did it & once again I would like to thank Varma sir for all his efforts and hard work he put in to make this course a success.

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Mushtaq Patel

I really loved this course, this is my first course on ML. Verma sir did a great job in presenting the material.the course is very nice and everything is nicely explained.This course has the perfect balance of theory and applied AI with Python which leaves you with a solid understanding of the concepts.The course was very well organized and Verma were very effective at breaking down complex concepts into easy to understand . The course is brilliant and is a must take course for people who wanna start learning ML .
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Anumula Muralidhar

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Varma sir is simply awesome, the way he teaches the concepts is easily understandable by an average student like me. I loved the way varma sir teaches hard concepts very intuitively.

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Sanjay Rakshith

Varma explained each and every concept very intuitively, the concepts were made easy but never watered down. There was a good balance between theory and applied aspects of every concept. It didn't take time to grasp the concepts even though I didn't know any of them beforehand. I would suggest anyone who is serious about ML to take this course.

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