A detailed schedule is given below under course enrolment.
Weekend Evening Batch: 10 sessions of 3 hours each, from July 4th to August 2nd .
Training session time: 8:30 PM - 11:30 PM IST . Please check the actual session details below.
Classes are conducted on Zoom calls with 24*7 unlimited access to recordings for 9 months
During the training phase, we share solved case studies.
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We'll start from scratch and go up to more than Intermediate level, but familiarity with Python will be assumed.
Students and Working Professionals who have an interest in Machine Learning & Artificial Intelligence and their Applications. This workshop is open for ALL (please read the course prerequisite carefully).
Simple Answer: NO. Please understand that this assumes that you have a decent familiarity with Python programming language.
There will be some mathematics involving Linear Algebra and matrix calculus in a few sessions. Normally engineering students study these concepts in their engineering 1st and 2nd semesters. People from a non-engineering background, BUT GOOD IN PYTHON programming can join, but also remember that there might be some difficulty in understanding the maths part. If you don't care about this, you can go ahead.
This assumes that you have a decent familiarity with Python programming language. Some knowledge about Machine Learning will be helpful, although not necessary, we'll revise the important relevant concepts anyway.
Some of the Advanced Topics in Deep Learning like unsupervised Deep Learning, Variational Autoencoders, GANs, other Encoder-decoder models, seq-to-seq models, advanced NLP embeddings like BERT, large-scale deployment of Deep Learning models etc.. are excluded. This is strongly advised NOT to go for these topics unless you have understood this course completely, which is the bare minimum requirement. We have a separate advanced Deep Learning course covering the above topics.