End to End (Stats to DL)

End to End Course from Statistics to Deep Learning

A course that will make you an expert in Machine Learning no matter whether you are a senior secondary school student, bachelors, masters, PhD candidate, professional or a researcher.

Features of our course

                              Features of our course

AFFORDABLE FEE STRUCTURE AND FREE TRIAL  



  • Every prospective candidate wanting to join our course has also the option to audit our whole course freely for 15 days period, called observation period before he/she makes up his/her mind to take the course. 
  • In this observation period, not only prospective candidate gets to audit our course but we also get to audit the candidate regarding his/her interest in taking the course. 
  • Our team continuously and closely tracks each prospective candidate who signed up for free audit of our course, by consistently staying in touch with him/her in these 15 days. 
  • After the above steps, Prospective candidate has also the option to pay the overall fee of the course either in the form of 5 EMIs with each EMI of 10000 Indian Rupees or in the form on 10 EMIs with each EMI of 6500 Indian Rupees.  

    ALERTS AND NOTIFICATIONS

    • With the help of consistent feedback from our alumni as well as currently enrolled students, we are continuously on the verge of updating the content of our course so as to match the latest industry requirements. Whenever we update our course content, all the enrolled candidates get instant alerts and notifications in the form of emails and then can get to access this updated content. 

WORLD-CLASS FACULTY

  • Instructor of this course is Jaskirat Singh. He is B.tech (ECE) from Sikkim Manipal University and MS by Research in Electrical and Computer Engineering from Lakehead University, Ontario, Canada.
  • More details about the instructor can be  found here
  • ONLINE AND OFFLINE VIDEO LECTURES

    • Every candidate can either watch the content on a desktop, laptop or on our android app through a decent internet connectivity.  
    • If a candidate is experiencing interrupted internet connectivity then he/she can use our android app to download the lectures, to watch them in offline mode, even in absence of internet connectivity. 
    • LEARN ANYTIME ANYWHERE

      • Candidates can learn from this course and complete it on their own pace.
      •  The average duration of this course is 12 months. 
      • The validity period of this course is 24 months. 
      • PORTFOLIO, RESUME AND INTERVIEW PREPARATION

        • Candidates get to evaluate their understanding behind concepts through general Quizzes and Assignments  as well as related to business use cases.
        • Enrolled candidates will be working on small and big projects related to business use cases. Some examples are Object Detection, Image Segmentation, Question Answering System, Semantic Search and Question Similarity.
        • These small and big projects will be acting as Github portfolio where enrolled candidates get to showcase their experience to hiring organizations.  
        • Enrolled candidates who complete 50 % our course (Till Module 4) in 12 months will also be assisted in resume building which will improve the chances of their resume to getting selected during initial screening in job applications.   
        • Mock interviews conducted by industry experts (Data Scientists, Machine Learning and Deep Learning Engineers) are organized for enrolled candidates who complete 50 % our course (Till Module 4) in 12 months. 
        • REGULAR DOUBT CLEARING SESSIONS

          • Any candidate can schedule doubt clearing sessions where they get to clear their major doubts regarding concepts, assignments, small and big projects.
          • Doubt Clearing sessions are live video one to one sessions which can be scheduled on all seven days of the week, anytime between 7 pm IST to 9 pm IST. These sessions will either be conducted on zoom or google meet. 
          • STUDENT DISCUSSION FORUM

            • Apart from one to one regular doubt clearing sessions, candidates also get access to 24*7 doubt clearing forum in which they can post their small queries regarding any video lectures, tagging us as well as their peers. We will try our best to answer all the small queries within 24 hours of these being posted. 
            • CUTTING EDGE CURRICULUM 

              • 110 + hours of content in mathematics behind Data Science. 
              • 500 + hours of content in Data Science, Machine Learning in Deep Learning.

                • 50+ hours of content in Python Programming and it's concepts. 
                • 100 + hours of content in Python programming libraries used in Data Science.
                • Hands on learning assignments on Python programming and its libraries used in Data Science.
                • Mini Projects based on from the scratch implementations of some Machine Learning algorithms.

                  • 12 big projects on Deep Learning.
                    • 6 projects will be on Deep Learning for Computer Vision and 6 projects will be on Deep Learning for Natural Language Processing.
                    • READING MATERIAL

                      • Enrolled candidates are also provided with reading material in the form of pages of E-books, PDFs of research papers of different algorithms, PDFs of interview questions asked in different organizations as well as detailed and lucid PDF explanations of such kind of topics which are not available any where. 
                      • We believe that a good Data Scientist should not only be capable of building models only but he/she should also be capable of reading Data Science literature (Books, Research papers, Technical Documents).    
                      • TRUSTED CONTENT

                        • Not following the typical rote learning style of teaching mathematical concepts. Using practical demonstrations in python programming to teach them.
                        • Content in Data Science, Machine Learning and Deep Learning is supplemented by visual animations, handwritten calculations as well as python programming implementations to make lectures engaging, interesting as well as motivating for wide variety of audience (11th, 12th Grade students, Bachelors, Masters, PhDs as well as Professionals).

                          • All the content covered in this course is coherent in nature and it’s like a journey rather than just some set of subjects being taught.
                          • It’s because of the same reason that the content is organized and taught in mixed manner and not in single stretches of whole programming then whole mathematics etc.
                          • This makes sure that the candidate keeps getting continuous dose of Theory as well as Hands on during the whole duration of course and it doesn’t get monotonous for him/her going through a long stretch of only either hands on topics or theory topics.
                          • EFFICIENTLY COMPRESSED HIGH QUALITY VIDEO LECTURES

                            • Candidates will be able to access a content in the form of efficiently compressed video format which will be having high quality. 
                            • To give an idea, if a candidate downloads 5 hours of content in his/her device using our android application then it is going to occupy nearly 400 MB of memory on the device. 






Course Curriculum

 

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