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Advanced Certification in AI & Machine Learning

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Eligibility

Any of the following:
  • Any Bachelor’s Degree: No minimum work-ex required
  • In Final year of any Btech, BCA, 4 year BS program
  • Qualify in our aptitude entrance test
Get Started

Fee

Rs 29,900

50% pay after placement i.e. you pay only Rs 14950 and the balance Rs 14950 after placement

  • Placement guarantee
  • 8 Industry ready Certifications
  • 5+ Industry Projects
  • Showcase your talent with a Patent
  • Mentorship from ML Experts
  • Job Ready Certification
  • 240+ hours of Learning
Get Started
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What Makes The AI & ML Certification Just The Right One For Your Career ?

8 Industry Recognised Certifications 
Get 8 individual certificated on AI & ML , Python for ML , Data Science, AI for image processing , AI for speech , Advanced ML techniques. All this culminated in Specialization in AI Certification from Shoolini University and IBM

Comprehensive Curriculum
This program is designed to ensure you will surely have a strong grasp of AI & ML . You work on 8 + projects on AI & ML ,Computer vision, emotional analytics, speech recognition, AI for special industries such as banking , insurance , manufacturing and pharma/medicine.

Industry Mentorship For Job Readiness
The program includes mentorship from leading industry professionals, Internship in a cutting-edge AI company and assistance in job preparation as well as interviews through our placement cell 

Enabling You To Showcase Your Skills With a Patent
Build a strong portfolio of AI projects and get your own AI based app patent
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Program Overview

8 Industry ready course Certifications from Shoolini University and IBM

Culminating in AI specialist Certification from Shoolini University and IBM

Job Readiness Module & IELTS coaching for international placements

5+ Industry Projects, Case Studies and a real industry Internship and AI patent

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Why Choose Us

Industry Recognized Certification

Specialist In AI Certification from Shoolini University and IBM; as well as 8 individual certificates

1:1 Career Coaching

Mentorship from professionals, Internship in a cutting-edge AI company, job & interview prep through prep our placement cell

Graduate with an AI patent

Showcase your Mastery though your own patent! Also build a strong Github portfolio of live AI and Machine Learning projects

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Apply Now
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A unique approach to Artificial Intelligence and Machine learning

We want to make sure you really grasp the concepts of Artificial Intelligence and Machine learning. According to hiring managers, most job seekers have a student/academic orientation and lack  job-ready skills to perform the job.
We teach what hiring managers look for:  With 8 individual certifications from Shoolini and IBM , a Specialist in AI certification as well as your own patent application – you not only get to work on projects, you actually design an AI/ML system, develop an app or a working prototype – which is unique and clearly showcases your competence.

 

No other AI Course or program does this!
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Certification

 

Advanced Certificate Programme from Shoolini University in Partnership with IBM

Complete all the courses successfully to obtain this cutting-edge industry recognized certification from Shoolini University in association with IBM. Shoolini University is the # 2 University in India for Research as per QS Asia 2021 rankings.
  • Build a strong network for life with opportunities to connect to Machine Learning Industry experts & your experienced fellow learners
  • Gain theoretical knowledge & practical understanding with this cutting-edge curriculum 
  • Learn multiple tools & languages to stand apart to gain a foothold in the ML & AI industry
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Curriculum

 

  • Python
    • Installation of Anaconda. Working with Jupyter notebooks, pip and Spyder.
    • Introduction to Python fundamentals.
    • Python functions, packages and routines.
    • Introduction to essential packages: Pandas, NumPy, Matplotlib and Seaborn.
    • Working with Python data structures: arrays, vectors and data frames.
  • Fundamental of Applied Statistics
    • Descriptive and Inferential Statistics.
    • Introduction to python package statistics
    • Probability and Conditional Probability: Emphasis on Bayes’ Theorem. 
    • Concept of Probability Distributions: Uniform, Binomial, Poisson and Normal distribution.
    • Hypothesis Testing and Concept of Confusion Matrix.

  • Supervised Learning
    • Regression: ( Linear regression ) ,Multiple Variable regression, Multiple regression and Logistic regression
    • K-NN classification
    • Naive Bayes classifiers
    • Support vector machines
  • Unsupervised Learning
    • K-means clustering
    • Hierarchical clustering
    • Clustering in higher dimension
    • Dimensionality Reduction
  • Ensemble Techniques
    • Decision Trees and Random Forests
    • Bagging and Boosting
  • Feature Engineering and Model Tuning
    • Feature engineering
    • Model selection and tuning
    • Model performance measures
    • K fold cross-validation
    • Bootstrap sampling
  • Workflow and Hyperparameter Tuning
    • ML pipeline
    • Randomized Search
    • Grid Search

  • Neural Network and Deep Learning
    • Activation Functions, Loss functions and Cost Functions.
    • Activation and Loss functions
    • Gradient Descent
    • Introduction to Perceptron & Neural Networks
    • Deep Neural Networks
    • Batch Normalization
    • Hyper parameter tuning
    • Introduction to Tensor Flow and Keras
  • Computer Vision
    • Introduction to Image data
    • Introduction to Open-CV
    • Convolution and Correlation
    • Introduction to Convolutional Neural Networks
    • CNN architectures
    • Object detection
    • Semantic segmentation
  • Natural Language Processing
    • Introduction to NLP
    • Introduction to NLTK and other NLP packages
    • Text Pre-processing
    • Bag of Words Model
    • TF-IDF
    • N-grams
    • Word2Vec
    • GLOVE
    • POS Tagging & Named Entity Recognition
    • Introduction to Sequential models
    • RNNs and LSTM
    • GRU
    • Text Classification
    • Sentiment Analysis
    • Time series analysis
    • Neural Machine Translation

  • Time Series Analysis
    • Introduction to forecasting data
    • Definition and properties of Time Series data
    • Features of Time Series data
    • Essentials for Forecasting
    • Handling Missing data
    • Exploratory analysis
    • Components of Time Series data
    • Naive, Average and Moving Average Forecasting
    • Time Series Decomposition: Trend, Seasonality and Residual
    • Validation and Performance Measures
    • Smoothening Methods
  • Generative Adversarial Networks (GANs)
    • Introduction to GANs
    • Autoencoders
    • Deep Convolutional GANs
    • Semi-supervised GANs
    • Application of GANs
  • Topics in Reinforcement Learning
    • Introduction and Framework
    • Q-learning
    • State-Action-Reward-State-Action (SARSA)
    • Comparison of Q-learning and SARSA

  • Interview Skills preparation
    • Introduction to AI based coaching for interview skills
    • Key techniques for essential interview questions
    • Preparation based on “3 V “ techniques for effective communication
    • 100+ typical technical interview questions for different modules
  • Resume and Profile Building
    • Resume Review Sessions with Industry Experts & Mentors
    • Profile Building Workshops
    • Review of  Linkedin and GitHub profiles
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Industrial Projects & Internships

 
Diagnosing cancer from images

Build a neural network and to predict possibility of cancer based on image processing.

 
Recognising facial expression

Build a model to evaluate videos, identify facial emotions and predict audience impact.

 
Risk of loans analysis

Build a model to identify customers most at risk, and what are their characteristics.

 
Speech to Text

Develop an AI based speech to text prototype; train this for different accents.

 
Face Recognition

Develop a AI based facial recognition app to identify individuals in a group picture.

 
AI based chatbot

Develop an AI driven chatbot and train it for an actual industry use case.

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Graduate with an AI app patent

 

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The only course that enables you to develop and file your own patent for an AI based application
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Work with a small team of peers and your assigned mentors to conceptualize a breakthrough app
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Academic and Industry mentors to assist you on the project
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Course fees includes filing of patent by team
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Career Support

FirstU Career Support enables you with all that you need to succeed in your career. This is a program to help you prepare and success in your interviews.

  • Career Sessions
    • Interact with industry professional, get invaluable insights on how to succeed in AI Resume and Profile Building
  • Resume and Profile Building
    • Put your best foot forward when your application is screened by your prospective employer
  • AI Interview Coaching prep
    • Access to Siqandar-the world's best interview prep coach - to make sure you come out confident  for your job interview
  • Showcase: e-portfolio & patent
    • Build an industry ready portfolio to showcase your mastery of skills. Work in small teams  to develop your own patent application
 

Career Sessions

 

Resume and Profile Building

 

AI Interview Coaching prep

   

Showcase: e-portfolio & patent

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