International Certification In Artificial Intelligence and Machine Learning at Institute of Product Leadership, Bangalore

By Institute of Product Leadership, Bangalore

Ace up your skills in artificial intelligence and machine learning to secure a prominent position in companies with the course by the IPL School of Data Science

Online

5 Months

1,299 USD

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Quick Facts

Medium Of Instructions	Mode Of Learning	Mode Of Delivery
English	Self Study, Virtual Classroom	Video and Text Based

Course Overview

Artificial Intelligence and Machine learning both are booming fields that creates multiple opportunities for skilled professionals. Technology has shown its optimistic approach to artificial intelligence, as machines are programmed in a way that they ought to think like humans. On the other hand, Machine learning is also a type of artificial intelligence that allows the software application to become and function more accurately. The International Certification In Artificial Intelligence & Machine Learning is an initiative by the IPL School of Data Science for the learners who wish to grasp comprehensive knowledge of these domains.

International Certification In Artificial Intelligence & Machine Learning training will be delivered by the experts through an online mode. The candidates will be exposed to practical learning along with theoretical knowledge for their overall development. This is a 5 months duration course that comprises 5 courses in it. The course is available on the IPL School of Data Science portal. The online learning portal is also providing multiple benefits for the students to make the learning easier and more interesting. The candidates will also receive International Certification In Artificial Intelligence & Machine Learning by the IPL School of Data Science at the end of the course.

The Highlights

5 months duration
6-8 hours of learning per week
5 embedded courses
Weekly sessions by faculty
Access to the laboratories
Case studies and assignments
One-to-one mentorship
Access to career management cell

Programme Offerings

5 Months Duration
Certification
One-to-one mentorship
weekly faculty sessions
Career Assistance
learning library with toolkits
hiring talentathons
CATAPULT data career labs

Courses and Certificate Fees

Certificate Availability	Certificate Providing Authority
yes	Institute of Product Leadership, Bangalore

The IPL School of Data Science is allowing fees through credit card, debit card, and internet banking. Interested students can enroll in the course by clicking on the ‘Enroll Now’ button available on the homepage of the website.

Fee structure of International Certification In Artificial Intelligence & Machine Learning

Name of the course	Fee in USD
International Certification In Artificial Intelligence & Machine Learning	$ 1299

Eligibility Criteria

Work Experience

The candidate enrolling in International Certification In Artificial Intelligence & Machine Learning course should have at least 1 year of working experience in technical or business-related fields. Besides this, the candidates should have experience in programming languages.

Certification Qualifying Details

International Certification In Artificial Intelligence & Machine Learning is awarded by the IPL School Data Science to all the learners who shall complete the course. Enrolled candidates should complete the projects and assignments on time. The certification will open gates of opportunities in the domain of artificial intelligence and machine learning.

What you will learn

Machine learningKnowledge of Artificial Intelligence

International Certification In Artificial Intelligence & Machine Learning syllabus is vivid and designed to provide proficiency to the learners. The candidates shall learn tools like python, Keras, Jupyter, TensorFlow, SQL, Matplotib, and Kubernetes. The aim of the course is to generate minds that are skilled in the domain of artificial intelligence and machine learning. After the completion of the course, the candidate will gain expertise in the following concepts.

Python for Machine Learning & Artificial Intelligence,
Feature extraction,
Prescriptive & Predictive Analytics,
Feature Engineering,
Building a Neural Network,
Data Wrangling,
Applying Machine Learning to different problems.

Who it is for

EntrepreneurBusiness AnalystProject ManagerProduct Manager

The International Certification In Artificial Intelligence & Machine Learning benefits the people who have one year of working experience in the technical or business-related domain. If the candidate has programming skills it would be easier for him/her to grasp the skills. This course shall help people working on the following designations.

Software and IT Professionals,
Domain Experts,
Engineers,
Project Managers,
Business Analysts,
Product Managers,
Entrepreneurs,
Consultants.

Admission Details

To enroll yourself in the International Certification In Artificial Intelligence & Machine Learning online course. Follow the steps mentioned below.

Step 1: Visit the portal of the IPL School of Data Science and search for the course, or directly click on the link to land on the page https://www.productleadership.com/programs/online-ai-ml-certification/.

Step 2: The screen with the detailed introduction of the course shall be displayed on the IPL School of Data Science portal.

Step 3: Click on the tab “Apply Now” and sign up for the course.

Step 4: Complete the enrollment process by paying the International Certification In Artificial Intelligence & Machine Learning fee.

Step 5: Start learning by attending International Certification In Artificial Intelligence & Machine Learning classes.

The Syllabus

Data Analytics Foundations

Statistical Data Analysis in Excel
- What is statistics?
- Why is statistics relevant to Data Science, Machine Learning and Deep Learning
- Describe Quantitative Data and methods/graphs
- Quantitative description measures
- What is Probability
- Conditional Probability
- How to draw a sample
- Population and Sampling Distributions
- Chi Square tests and Analysis of Variance
Data Analysis using SQL
- Introduction to DBMS
- ER diagram
- Schema design
- Key constraints & basics of normalization
- Joins
- Subqueries involving joins & aggregations
- Sorting
- Independent subqueries
- Correlated subqueries
- Analytic functions
- Set operations
- Grouping and filtering
- SQL Aggregate & Rank Functions
- SQL Analytics Functions

Python for Artificial Intelligence & Machine Learning

Introduction to AI & ML
- Introduction to Artificial Intelligence (AI), Data Science (DS), Machine Learning (ML), Deep Learning (DL), and Natural Language Processing (NLP)
- Basics of Data Science: Feature extraction, Feature Engineering, Data Wrangling, Outliers
Python Programming
- Python Structure, Variables,
- Conditionals, loops
- Functions
- list, dict, tuple, set, bytearray
- Exceptions handling and raising
- Python functions, packages and routines
- Numpy
- Pandas

Machine Learning Foundations

Introduction to Machine Learning
- What is Machine Learning
- How does it work?
- Supervised Machine Learning
- Unsupervised Machine Learning
- Different Machine Learning algorithms.
- Regression and Classification algorithms
- Use cases of different types of Machine Learning algorithms
- Machine Learning Practice Workouts
Regression
- What is regression,
- Regression algorithms:
- Simple Linear Regression Statistical method using OLS
- Programming with Simple Linear Regression Statistical method and Statslib
- Regression Algorithm Gradient Descent method (incl derivation of Gradients)
- Programming with Gradient Descent method, Stochastic Gradient Descent, sklearn
- Overfitting/Bias
- Non-Linear Regression
- Programming Assignment on Linear Regression using Gradient Descent Method*
Logistic Regression
- What is Logistic Regression? Is it regression or classification?
- Learning in Logistic Regression
- Gradient Descent method
- Programming with Statistical Method using Statslib
- Programming with Gradient Method using Native Python
K Nearest Neighbors
- Reconnecting to Math foundations
- Different Similarity measures (include Cosine Theta)
- KNN Algorithm
- Intro to Sklearn Framework
- Programming and building a KNN model with Sklearn Framework
- Programming and building a KNN model with Native Python

Advanced Artificial Intelligence

Decision Tree
- What is Decision Tree
- How is it constructed?
- Programming and building a Decision Tree with Sklearn Framework
- Overfitting Problems in Decision Tree
- What is Bagging, Random Forest,
- Hyperparameters in Decision Tree, Random Forest
- Hyperparameter tuning: Programming and building an optimal Decision Tree using Grid Search, Decision Tree, and Random Forest
Advanced Decision Tree
- Adaboost,
- Gradient Boost,
- XG Boost
- Hyperparameters in Adaboost, Gradient Boosting, XGBoosting
- Hyperparameters tuning: Programming and building an optimal model using Grid Search
Unsupervised Learning
- Review of Unsupervised Learning
- Clustering
- K Means Clustering
Apply Machine Learning in different Problems
- How do you solve an ML problem?
- Use different models and choose the best or best combination
- Waterfall or AGILE?
- A sample problem and code

Deep Learning

Deep Learning Foundations
- Problems solved with deep learning
- What is deep learning
- Intro to Neural Network
- Forward propagation in Neural Network
How does a Neural Network Learn?
- Review of Gradient Descent used in Lin and Log Regression
- Back Propagation in Neural Network
- Hyperparameters in Neural Network
- Hyperparameter Tuning
- Overfitting in Neural Network
- How to handle Overfitting in Neural Network
Building a Neural Network
- Introduction to Tensorflow
- Introduction to keras
- Build a simple NN using Keras
- Solve a problem using Keras
- Hyper-parameter tuning using keras
Choosing right Neural Networks
- Problems of Vanishing Gradient
- Handling Overfitting using Dropouts
- How to handle Vanishing Gradient – Batch Normalization, Skip Connections
- Solve a practical problem using Neural Network and Keras
- Issues with Neural Network

Instructors

Institute of Product Leadership, Bangalore Frequently Asked Questions (FAQ's)

1: What is the duration of the International Certification In Artificial Intelligence & Machine Learning online course?

The duration of this online course is 5 months.

2: Where is the course available?

The course is available on the online platform of the IPL School of Data Science.

3: Do the students will get placement assistance after the completion of the course?

Yes, the placement support is provided by the platform by building resumes and preparing candidates for interviews. Besides this, the candidates shall have access to the hiring talentathons.

4: Which language is chosen for training the candidates?

The English language is chosen for training and mentoring candidates.

5: What is the requirement from the candidates before enrolling in the course?

The candidates must have 1 year of working experience in technical or business-related domains. The candidates having programming experience will be benefitted while taking up the classes.