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For Individuals

Get support from industry experts to shape your career in ML. We assure the most practical and advanced learning experience.

Register and Explore free self-learning platform, We have curated from multiple open source contributions to democratize ML education.


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For Institutions

Get your customized mlacademy24.com learning eco system with secured and fully managed services. We assure the complete upskilling of your students in ML.

Customized curriculam
Value added courses
Career guidance & Interships
Placement assistance

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For Corporates

Introducing Business Centric Training (BCT) programs for specific AI/ML requirements to upskill your employees meeting the deliverables.

Customized curriculam
Project specific milestones
Support on prototyping
Support on AI/ML/DS role hiring

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Experience the Experiential Learning

with Our ToolKits

Spatial Data Model

Explore and understand how data is represented in mult-dimensional
space

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Algorithm Explorer

Explore different types of algorithms and understand how they work with an example

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ML JumpStart kit

Explore end to end ML pipeline for building classification and regression models

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Object Detection Labeling

Use this simple labeling tool to create Pascal VOC train data for object detection training

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ANN Decison Boundry

Explore hyper parameters of ANN and their respective impact on classification decision boundry

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ANN Simulator

Create, Modify and explore Neural Network architectures with Layers and Neurons

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Check our Quick Video on Self-Learning Platform

Quick introduction about mlacademy24 self-learning platform and self-assessments for python and machine learning.

Explore free self-learning platform from our ML Academy, Curated from multiple open source contributions to democratize ML education.


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Learn and Get Placements through our Online Courses

Learn fundamentals to advanced concepts wtih 100% practical sessions to become Data Analyst or Data Scientist. Courses delivered end-to-end from expereinced industry experts. We have highest standards of commitment to provide practical learning in the field of data science.

Certified Data Analyst
(Certified in 6 months)

You will learn Python, Data Structures, Data Frames, Data pre-processing, Statistics, Data Visualization, Text Mining and Basics of Machine Learning. Python assessments will be done and you will be working on a capstone project solving complex data problems. In addition, resume writing and Interview preparation support will be provided.

Certified Data Scientist
(Certified in 9 months)

You will learn Python, Data Structures, Data Frames, Data pre-processing, Statistics, Data Visualization, Text Mining, Natural Language Processing, Machine Learning, Deep Learning, Image processing and Computer Vision. Generative AI basics and LLM applications hands-on. A Machine learning capstone project will be assigned. Python and ML assessments will be done. In addition, resume writing and Interview preparation support will be provided.

Certified AI Engineer
(Certified in 11 months)

You will learn Advanced Python, Algorithms such as Cryptology, Sorting, Numerical Methods, Graph Theory, Dynamic Programming. Machine Learning, Deep Learning, NLP, Image processing and Computer Vision. Generative AI basics, Hands-on with Server based and Serverless Cloud Deployments of LLM models, Prompt Engineering, open source LLM fine-tuning on custom data and task automations with LLM. A fullstack LLM capstone project will be assigned. Python and LLM assessments will be done. In addition, resume writing and Interview preparation support will be provided.

Career Guidance Program for Students and Freshers

A one month practical work experience program for final year students and fresh graduates looking for AI/ML as career.

Students doing BE/B.Tech/B.Sc/BCA or relevant Master degree

  • Learn end-to-end ML project development.
  • Learn to explain the need of the ML for given problem.
  • Learn to explain ML algorithms, how it works at high level.
  • Learn to explain the model evaluations with relevant metrics.
  • Learn to handle ML interviews and technical writeups.

  • Resume Building
  • Social media profile and growth options
  • ML and Python assessments
  • Learn industrial requirements in data roles
  • Interview preparation
  • Project technical documentation
  • Best coding practices
  • Problem solving exercise
  • Mock interviews and feedbacks

Decide what you want to be?

Learning Path 2.0

Python, Data Analysis and Data Science

A complete list of source codes and practice challenges for your immediate reference