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

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

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For Corporates

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

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Learn fundamentals to advanced concepts with 100% practical sessions. Courses delivered end-to-end from experienced industry experts. We have highest standards of commitment to provide practical learning in machine learning and data science.

ML-Starter
(Certified in 3 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 for ML models.

ML-Pro
(Certified in 5 months)

MLStart + Advanced Machine Learning, Deep Learning, Image processing and Computer Vision. Language embeddings and models, multi-model solutioning, Generative AI basics and LLM applications hands-on. A Machine learning capstone project will be assigned and mentored.

ML-Xpert
(Certified in 7 months)

MLStart + MLPro + Algorithms such as Graph Theory, Dynamic Programming. Cuasal ML, Generative AI, 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 ML and LLM capstone projects will be assigned and mentored.

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
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  • ML and Python assessments
  • Learn industrial requirements in data roles
  • Interview preparation
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  • Best coding practices
  • Problem solving exercise
  • Mock interviews and feedbacks

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Spatial Data Model

Explore and understand how data is represented in mult-dimensional
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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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Learning Path 2.0

Python, Data Analysis and Data Science

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