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Course / Data&AI/ML

Machine Learning

This short interactive program offers an immersive experience in Machine Learning (ML) providing participants with hands-on training in the foundational principles and cutting-edge technologies shaping today’s intelligent systems.

Course Name

ML Short Interactive Program

Course Duration

6 Hours

Course Engagement

Live Classes

Rewards

Certification

When do you want to start?

Course Lauch Date:  

Days left to apply

No. of seats left

25

Started in IT thanks to Blockverse

ML Short Interactive Program training from BlockVerse Academy

Are you fascinated by the realm of Machine Learning  and eager to gain practical insights into these transformative technologies? The ML/DL Short Interactive Program from BlockVerse Academy is crafted for you. In this intensive program, you’ll actively participate in interactive sessions, gaining practical experience in developing intelligent systems.

Ready to embark on this dynamic learning journey? Enroll with us today. For a deeper understanding of our ML/DL Short Interactive Program, our identity, and the possibilities that lie ahead, read on; we’ve outlined all the essential details below.

You will learn this

Our ML Short Interactive Program is designed for individuals who wish to dive into the realms of Machine Learning and Deep Learning. Here’s an overview of the key areas covered in our program:

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Module 1 : Introduction to ML, DL, AI

Overview of ML, Overview of DL, Overview of AI

Module 2 : AI applications in various fields

Understand the cutting-edge AI applications in various fields like Finance, Travel, Health, Retail, Agriculture industries and the specific technologies supporting them.

Module 3 : Introduction to Generative AI

Prompt engineering basics for ChatGPT, Bard, Llama; Using GPT 3.5 and Whisper APIs for building applications., Image generation technologies like Dall-E, Stable Diffusion.

Module 4 : Introduction to Machine Learning

Understanding supervised/unsupervised learning, Understanding Supervised learning algorithms, Building a classification model using AutoML

Module 5 : Introduction to Deep Learning

Foundations of deep learning, Training a deep learning model and Hyper-parameters, Introduction to various fields in Deep learning (NLP,Computer Vision, Reinforcement learning)

Key technique for a Full Stack Web Developer.

You will learn about these  
Foundations of Machine Learning

Foundations of Machine Learning

Gain insights into the fundamental concepts of Machine Learning, understanding algorithms, model training, and evaluation.

Deep Learning Fundamentals

Deep Learning Fundamentals

Explore the basics of Deep Learning, delving into neural networks, activation functions, and backpropagation.

Python for Data Science

Python for Data Science

Master the use of Python for data manipulation, exploration, and analysis – essential skills for any ML/DL practitioner.

Supervised and Unsupervised Learning

Supervised and Unsupervised Learning

Understand the principles behind supervised and unsupervised learning, exploring classification, regression, clustering, and dimensionality reduction.

Neural Network Architectures

Neural Network Architectures

Dive into various neural network architectures, including convolutional neural networks (CNNs) and recurrent neural networks (RNNs).

Natural Language Processing (NLP)

Natural Language Processing (NLP)

Explore the fascinating field of Natural Language Processing, with hands-on experience in text analysis and language modelling.

TensorFlow and PyTorch Frameworks

TensorFlow and PyTorch Frameworks

Work with leading ML/DL frameworks, TensorFlow and PyTorch, gaining proficiency in developing and deploying models.

Why we should go with this

Why this Course is  

Started in IT thanks to Blockverse

AI Career - A Path to Exciting Opportunities?

Considering the ML/DL Short Interactive Program with the goal of enhancing your skills in these cutting-edge technologies? Understand the advantages of this program:

Hands-on experience through live interactive sessions
In-demand skills for roles in data science, artificial intelligence, and machine learning

Opportunity for networking and collaboration with industry professionals.

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