Master Python, ML and AI with live training classes

First thing first – without Python, you can’t scale into Machine Learning space.

On Learning, our trainers do take care of the current programming familiarity of the Student. So you will get a very smooth experience.

At the same time, you will need to devote sometime practice coding (~7-10 Hrs/Week) other than the Class. You will get 15×7 support on Discord for any issues/queries/doubts.

As we mentioned in our previous answer, to leverage the potential of AI/ML algorithms, learning a programming language will add a lot of options to your carer path.

There exist some GUI(Graphical User Interface) based tools that can help you to send instructions. But these tools have limited capabilities.

If you are ready to put the effort mentioned in the previous question, we will assure we learn Python easily and smoothly.

• 1-2 Month – python.
• 2-3 Months – Machine/Learning and Deep learning each.
• 1-2 Months Refresher and consolidation.

AI is the umbrella under which ML, DS, and DL are placed, having a separate field of study. The definition of AI changes with time and advancement of research i.e. AI of 1990 is not the AI of 2020.

Al – It is the domain which attempts to achieve human-level intelligence by a machine.

ML – It is a subset technology of AI that enables machines to learn and adapt new data automatically from experiences without being previously programmed. This algorithm allows the machine to identify the data and build predictions around it like how humans do. Classical Statistics based algorithms are the core pillars of ML. Unfortunately, these algorithms didn’t scale well with Image data and very large text corpus.

DL – It is the latest evolution of ML, that uses neural networks to analyze information just like the similar structure found in the human brain. ML didn’t scale well with Image data and very large text corpus. With Deep Learning, we are able to analyze Image/text data too. This opens the path to analyze Image/Large text data on a large scale.

Mathematics – Linear Algebra and Differential Calculus is needed but in chunks. Our course will make sure you learn the needed concepts with the appropriate ML/DL topics without wasting too much time in the whole Calculus/Algebra domain.

Statistics – We need more of Statistics as compared to Mathematics. But it is fairly easy and needless to say, we will make sure you learn it with the ML and Data-Science course.

• You need to be spirited and perseverant.
• Must manage 7-10 Hours per week for brushing up.
• Maintain consistency in projects and assignments. Rest our courses will pave the way for building expertise in AI/ML.

Though these points sound easy, it demands a certain level of determination.

Our Brochure covers all the details of the fee structure, please download the brochure.

The blunder you can make is to start in the final year when you don’t make it to the placements and then easily fall into the trap of 1-2 months of high promising alluring job oriented capsule courses.

As answered in some previous questions, you need a time-frame of 6-7 months for a decent level. Definitely, if you practice beyond that, it will add to the skill.

So, we recommend starting in the early years i.e. 1st/2nd and worse in the 3rd to give yourself an ample amount of time.

Yes, it is true that ML/DL has a lot of freely available good courses/books.

But to it’s like scanning a lot of files to get the needed few files. Moreover, it is very difficult to identify the starting point e.g. with or without Python. Most of the good books/tutorials demand quality knowledge in Python. Deep Learning itself is quite difficult to comprehend. However, you may start doing shallow coding (by copying from blogs) without understanding the concepts.

So, our courses will save your time from searching all of the internets with our well-curated and optimized courses. If you want to dive deep, you will have all the perquisites of up to scratch books/Blogs to read attached to each Unit.

Plus, a 1-2-1 Live Instructor based learning provides you immersive learning experience with a well-defined set of Assignments, Practice datasets, and End projects to kick-start your Python learning.

Clearly understanding the tricky “WHYs” behind every concept which actually can take 100s of blogs if you try yourself.

Our courses are 1-on-1 Live-with-trainer based classes that are conducted on google meet and with a digital Board( i.e. Microsoft Whiteboard) to give you a Classroom like an experience. You can check that with a Free Demo class anytime

Absolutely! Here are the samples from classes available in the following folder.

⇒    Course preview

So, go ahead and check it out.