APG Learning Course Page

Data Science Preparatory Bootcamp

Boost your skills and gain a valuable career opportunity in data science by attending this Bootcamp

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    Preparatory Bootcamp Enquire Form

    Duration

    1 Month

    Mode of Delivery

    Online Self-paced + Live




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    Fees

    12,500/- plus GST

    Courses Start Date

    15th January 2023

    Duration

    1 Month

    Mode of Delivery

    Online + Live

    Fees

    Rs 12,500/- Plus GST

    Courses Start Date

    15th January 2023

    Programme Overview

    APG Learning has been working towards up-skilling of professionals and farmers through various short and long-term courses. APG Learning has offered 250+ courses in various areas that cover technical skills, forward linkage opportunities, backward linkages, entrepreneurship and exports. At APG Learning, we run some of the most in-demand employability-related courses in the fields of technology, agriculture, management, and allied subjects.

    Launch your career in the field of Data Science and Artificial Intelligence. Join this highly in-demand industry vetted preparatory Bootcamp on Data Science & AI engineering. Be a part of this tailor-made Bootcamp to accelerate your career towards becoming an industry certified Data Scientist.

    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.

    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.

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

    Apply Now
    Enquire Now

      Preparatory Bootcamp Enquire Form

      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 Duration
      Pre- Requisites
      Introduction to AI & Nature of Intelligence
      02 Hours
      Mathematics of Machine Learning
      • Linear Algebra
      • Multivariate Calculus
      10 Hours
      Statistics and Probability for Data Scientists
      10 Hours
      Python Programming Language
      10 Hours
      Algorithms and Data Structure
      • Graph Theory: Basic Concepts and Algorithms
      • Algorithmic Complexity
      • Data Structures
      5 Hours
      Main Program
      Exploratory Data Analysis & Feature Engineering
      • Data Exploration And Preprocessing
      • Feature Engineering
      Introduction to Machine Learning
      • Learning from Data
      • Introduction to Bayesian Learning
      Supervised Machine Learning
      • Classification Algorithms
      • Dealing with Skewed Class Distribution and Cost-based Classification
      • Regression
      • Survival Analysis
      • Ensemble Models
      • Neural Networks and Introduction to Deep Learning
      • Time Series Forecasting
      Case Studies
      • Network Intrusion detection
      • Weather Forecasting
      • Image Classification
      • Predictive Text Generation
      • Customer Lifetime Modelling
      • Churn Prediction
      • Speech synthesis
      • Named Entity Extraction
      • Car navigation Diagnosis
      Assessment Exam, Project Submission Theory + Lab
      Tools & Platform
      Python, R
      Covered in the Labs

      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.
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      Admissions Process

      • Step 1 – Participants click on Apply Now
      • Step 2 – Participants will have to fill the online application form, and submit the signed form
      • Step 3 –Based on the payment option selected by the participants in the application form, the participant will be re-directed to the respective page for further process.
      • Step 4 –
        • (a) Student chose No Cost EMI – Student will be re-directed to Partner page.
        • (b) Student chose other payment option – student will be re-directed to payment gateway page for making the payment.
      • Step 5 – On successful completion of fee payment, participant will have to attempt the an entrance assessment test.
      • Step 6 – APGL will provide a comprehensive report to students, and based on the exam performance, a particular student will be guided to a respective bootcamp program by the counsellor
      • Step 7 –Based on the Bootcamp program selected, the participant will have to submit anSoP which will evolve in due course of time and will be shared on career accelerator platforms.

      FAQs

      Data science is mainly about figuring out trends and patterns based on statistics and jumbled data. You will be introduced to the basics of statistics, probability, from Python to Machine Learning & more. Expand your career horizon by adopting data science practices in various organizations. This preparatory bootcamp will make you eligible to begin your career in the field of Data Science from the scratch.

      On successful completion of Preparatory Bootcamp, learners will be eligible to opt for specialization as a Data Analyst, Data Engineer, Data Scientist, AI Engineer.

      AI preparatory Bootcamp will commence on 15th April 2022

      This is a self-paced preparatory Bootcamp with live interaction with qualified Teaching Assistants

      Teaching Assistant (TA’s) work with the tutors to help students with their live assignments and projects. They answer students doubts via chat and video call. You would interact with TA’s regularly outside of the live-class sessions to get hands-on problem-solving experience

      Anyone who is pursuing or freshly completed Graduation in a Non-IT and Non-CSE stream.

      Data Science preparatory bootcamp will be for 60 days.