APG Learning Course Page

Data Scientist Bootcamp

Advanced AI training program that will help you become a job-ready AI professional

Data Scientist Bootcamp

Advanced AI training program that will help you become a job-ready AI professional

Duration

12 Weeks | 90 Days

Mode of Delivery

Online Self-paced + Live

Fees

Rs 60,000/-

Courses Start Date

Coming Soon

Duration

12 Weeks | 90 Days

Mode of Delivery

Online Live / Self-Paced

Fees

60,000/-

Courses Start Date

Coming Soon

Programme Overview

Learn everything about Artificial intelligence engineering from beginners to advanced topics in this courseware. Get holistic understanding of AI Engineering by exploring topics like feature engineering, deep learning, Amazon AWS, Microsoft Azure, and IBM Watson

Learn everything about Artificial intelligence engineering from beginners to advanced topics in this courseware. Get holistic understanding of AI Engineering by exploring topics like feature engineering, deep learning, Amazon AWS, Microsoft Azure, and IBM Watson.

CAMP stands for Content Assignments Masterclass Projects completely contributed by the industry.

CONTENT

Our training content is contributed and vetted by industry leaders. You are readily equipped with the latest industry tools. Case studies and applications on trending topics

ASSIGNMENTS

You will get access to various current (‘as-is’) problems faced by the industry. This will provide contemporary industry exposure as part of the curriculum

PROJECTS

Industry always plans for future on innovative products and services to stay competitive in the market. You will havefirst-hand experience as an extended resource on various forecasted projects.

MASTERCLASS

Intuitive and interactive live sessions by eminent industry experts.

How will you benefit

Brush-up the prerequisites to learn AI. (Maths, Stats, Python, Optimization)

Understand all the concepts of Machine Learning, Deep Learning, Data Analysis.

Apply these concepts with the latest tools, platform to build end to end models and solutions.

Through Design thinking apply your new skills to solve case studies across verticals.

Manage the change involved in shifting toward an AI-driven business.

On successful completion of Preparatory AI Bootcamp will make students eligible to become an Azure/Google/AWS Certified AI Engineer.

How will you benefit

Brush-up the prerequisites to learn AI. (Maths, Stats, Python, Optimization)

Understand all the concepts of Machine Learning, Deep Learning, Data Analysis.

Manage the change involved in shifting toward an AI-driven business.

Apply these concepts with the latest tools, platform to build end to end models and solutions.

Through Design thinking apply your new skills to solve case studies across verticals.

On successful completion of Preparatory AI Bootcamp will make students eligible to become an Azure/Google/AWS Certified AI Engineer.

Journey of Student

Start your journey with APG Learning as a novice in the field of artificial intelligence & machine learning and end your career as an industry-certified expert. Learn from expert practitioners in Data Science with experience from Amazon, Flipkart, etc. Join the best industry-centric AI program offered by APG Learning with world class pedagogy!

Data Science
Preparatory
Bootcamp

Data Analyst
Bootcamp

Data Engineer
Bootcamp

Data Scientist
Bootcamp

Data Science
Preparatory Bootcamp

Data Analyst
Bootcamp

Data Engineer
Bootcamp

Data Scientist
Bootcamp

Build innovative AI applications with the strong foundation of our course and become an in-demand AI professional.

Build innovative AI applications with the strong foundation of our course and become an in-demand AI professional.

Why apg learning

It is no secret that the demands of the workplace are changing every day. Whether it’s adapting to a remote or offline setting, building more diverse, equitable, or finding a new way to enhance productivity, working in a state of constant flux is now accepted and expected. To excel in the new-age corporate setup, the necessity for new recruits to showcase multi-disciplinary skills is a need of the hour.

With the constant evolution of industry requirements, training content, faculty, and infrastructure; that does not meet the expected needs, and hence industries talk about ‘Lack of Talent.’ This gap in lack of quality training and ever changing industry requirements directly affects the productivity of recruits and professionals. To solve this problem, we at APG Learning have established an industry-centric training formula called CAMP.

Course Curriculum

Fundamentals of Artificial Intelligence

Exploratory Data Analysis & Feature Engineering
  • Data Exploration And Preprocessing
  • Feature Engineering
Main Program  |  5+5  Hrs
Deep Learning
  • Convolutional Neural Networks
  • Recurrent Neural Networks
  • Sequence To Sequence Methods
  • Autoencoders
  • Generative Adversarial Networks (GANs)
  • Transfer Learning
Main Program  |   10+15 Hrs
Reinforcement Learning
Main Program  |   5 + 5 Hrs
Industry Projects
  • Tracking suspicious movement for security
  • Medical Image Analysis
  • Attention Models End to End
  • Language Modelling
  • Speech Recognition
  • Intelligent Recommender System
  • Q & A Systems
  • Stock Broking Agent
  • PAC-MAN Agent System
  • Enterprise Process Automation
Case Studies

Assessment Exam, Project Submission

Python, R
Tools & Platform
Theory + Lab : Covered in the Labs
Pytorch, Jupyter, fast.ai, Open AI Gym, Pyspark Python Libraries
Tensorflow, Keras, Auto Keras, TensorflowRT, Colab
Google
Amazon AWS, MXNet, Sagemaker, Deep Lens and other
as required

Amazon AWS
Microsoft Cognitive Toolkit and other AI APIs as
required

Microsoft Azure
IBM Watson services, Restful APIs, Bluemix IBM Watson services, Restful APIs, Bluemix

Course Curriculum

Fundamentals of Artificial Intelligence Duration
Main Program
 Exploratory Data Analysis & Feature Engineering
  • Data Exploration And Preprocessing
  • Feature Engineering
8 + 8 Hrs
Deep Learning
  • Convolutional Neural Networks
  • Recurrent Neural Networks
  • Sequence To Sequence Methods
  • Autoencoders
  • Generative Adversarial Networks (GANs)
  • Transfer Learning
10 + 15 Hrs

 Reinforcement Learning:

5 + 5 Hrs
Case Studies
  • Tracking suspicious movement for security
  • Medical Image Analysis
  • Attention Models End to End
  • Language Modelling
  • Speech Recognition
  • Intelligent Recommender System
  • Q & A Systems
  • Stock Broking Agent
  • PAC-MAN Agent System
  • Enterprise Process Automation
Assessment Exam, Project Submission Theory + Lab
Tools & Platform
Python
Covered in the Labs
Python Libraries
Pytorch, Jupyter, fast.ai, Open AI Gym, Pyspark
Google Cloud
Tensorflow, Keras, Auto Keras, TensorflowRT, Colab
Amazon AWS
Amazon AWS, MXNet, Sagemaker, Deep Lens and other as required
Microsoft Azure
Microsoft Cognitive Toolkit and other AI APIs as required
IBM Watson
IBM Watson services, Restful APIs, Bluemix Assessment Exam, Projec

Assessment Exam, Project Submission

Industry Projects

Tools

How to apply

Eligibility Criteria

Should have basic knowledge of Python Programming language, AI, ML and Mathematics.

Pre-Requisite

Participants should have invested the mentioned number of hours into the pre-requisites before joining the program. A prior assessment test will conducted to validate the student’s eligibility criteria.

Admission Process

  • Step 1 – Participants click on Apply Now.
  • Step 2 – Participants will have to fill the online application form, and submit the signed form.

FAQs

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