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Advanced AI & Machine Learning with AWS AI Practitioner Certification
Advanced AI & Machine Learning with AWS AI Practitioner Certification
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Artificial intelligence (AI) and machine learning are two of the most in-demand and well-paid skills in the digital economy. Propel your career forward with MGrow acclaimed AI & Machine Learning program with AWS AI Practitioner certificate. This program provides an ideal blend of 100% online classes with theoretical knowledge, case studies, and extensive hands-on practice in AI. This program will equip you for an exciting career in AI and machine learning.
Avail 10 Months of Live Online Program on Data Analytics
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10 Months Program
@ 7.5 hours a week
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Skill Level Required
Beginner
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Paid Internships
2 Months
What you'll learn
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Statistical Foundations
- Descriptive Statistics: Understand measures of central tendency (mean, median, mode) and dispersion (variance, standard deviation).
- Inferential Statistics: Grasp concepts of correlation, regression, hypothesis testing, and ANOVA.
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Programming Proficiency
- Python Mastery: Develop proficiency in Python programming, including variables, data structures, control flow, and functions.
- Data Manipulation: Learn to work with data using Pandas, NumPy, and other relevant libraries.
- SQL Expertise: Gain a solid understanding of SQL commands and database operations
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Data Analysis and Visualization
- Data Cleaning and Preparation: Master techniques for cleaning and preparing data for analysis.
- Exploratory Data Analysis: Utilize various methods to explore and understand data patterns.
- Data Visualization: Create effective visualizations using tools like Matplotlib and Seaborn.
- Machine Learning: Apply machine learning algorithms to build predictive models
Program Outcomes
Who Will This Program Benefit?
Program Inclusions
Business Analytics with Excel
Key Learning Objectives
- Understand the meaning of business analytics and its importance in the industry
- Grasp the fundamentals of Excel analytics functions and conditional formatting
- Learn how to analyze with complex datasets using pivot tables and slicers
- Solve stochastic and deterministic analytical problems using tools like scenario manager, solver, and goal seek
- Apply statistical tools and concepts like moving average, hypothesis testing, ANOVA, and regression to data sets using Excel
- Represent your findings using charts and dashboards
- Get introduced to the latest Microsoft analytic and visualization tools, such as Power BI
Course curriculum
- Lesson 1- Introduction to Business Analytics
- Lesson 2- Formatting Conditional Formatting and Important Functions
- Lesson 3- Analysing Data with Pivot Tables
- Lesson 4- Dashboarding
- Lesson 5- Business Analytics with Excel
- Lesson 6- Data Analysis Using Statistics
SQL Course
Key Learning Objectives
- Understand databases and relationships
- Use common query tools and work with SQL commands
- Understand transactions, creating tables, and views
- Comprehend and execute stored procedures
Course curriculum 1
- Lesson 1 Fundamental SQL Statements
- Lesson 2 Restore and Back-up
- Lesson 3 Selection Commands: Filtering
- Lesson 4 Selection Commands: Ordering
- Lesson 5 Alias
- Lesson 6 Aggregate Commands
- Lesson 7 Group By Commands
- Lesson 8 Conditional Statement
- Lesson 9 Joins
Course curriculum 2
- Lesson 10 Subqueries
- Lesson 11 Views and Index
- Lesson 12 String Functions
- Lesson 13 Mathematical
- Functions Lesson 14 Date and Time Functions
- Lesson 15 Pattern (String) Matching
- Lesson 16 User Access Control Functions
Programming Basics and Data Analytics with Python
Key Learning Objectives
- Import data sets
- Clean and prepare data for analysis
- Manipulate Pandas DataFrame
- Summarize data
- Build machine learning models using scikit-learn Build data pipelines
Course curriculum
- Lesson 1 Course Introduction
- Lesson 2 Python Environment Setup and Essentials
- Lesson 3 Python Programming Fundamentals
- Lesson 4 Data Analytics Overview
- Lesson 5 Statistical Computing
- Lesson 6 Mathematical Computing using NumPy
- Lesson 7 Data Manipulation with Pandas
- Lesson 8 Data visualization with Python
- Lesson 9 Intro to Model Building
R Programming for Data Science
Key Learning Objectives
- Learn about key mathematical concepts, variables, strings, vectors, factors, and vector operations
- Gain fundamental knowledge on arrays and matrices, lists, and data frames
- Get understanding of conditions and loops, functions in R, objects, classes, and debugging
- Learn how to accurately read text, CSV and Excel files, and how to write and save data objects in R to a file
- Understand and work on strings and dates in R
Course curriculum
- Lesson 01 R Basics
- Lesson 02 Data Structures in R
- Lesson 03 R Programming Fundamentals
- Lesson 04 Working with Data in R
- Lesson 05 Stings and Dates in R
Data Analytics with R
Key Learning Objectives
- Gain a foundational understanding of business analytics
- Install R, R-studio and workspace setup, and learn about the various R packages
- Master R programming and understand how various statements are executed in R
- Gain an in-depth understanding of data structure used in R and learn how to import / export data in R Define, understand, and use the various apply functions and DPLYR functions Understand and use the various graphics in R for data visualization
- Gain a basic understanding of various statistical concepts
- Understand and use hypothesis testing method to drive business decisions
- Understand and use linear and non-linear regression models, and classification techniques for data analysis
- Learn and use the various association rules and Apriori algorithm
- Learn and use clustering methods including K-Means, DBSCAN, and hierarchical clustering
Course curriculum
- Lesson 01 Introduction to Business Analytics
- Lesson 02 Introduction to R Programming
- Lesson 03 Data Structures
- Lesson 04 Data Visualization
- Lesson 05 Statistics for Data Science
- Lesson 06 Statistics for Data Science
- Lesson 07 Regression Analysis
- Lesson 08 Classification
- Lesson 09 Clustering
- Lesson 10 Association
Specialisation in Tableau
Key Learning Objectives
- Become an expert on visualization techniques such as heat map, treemap, waterfall, Pareto
- Understand metadata and its usage
- Work with Filter, Parameters, and Sets
- Master special field types and Tableau-generated fields and the process of creating and using parameters
- Learn how to build charts, interactive dashboards, story interfaces, and how to share your work
- Master the concepts of data blending, create data extracts and organize and format data
- Master arithmetic, logical, table, and LOD calculations
Course curriculum
- Lesson 01 - Getting Started with Tableau
- Lesson 02 - Core Tableau in Topics
- Lesson 03 - Creating Charts in Tableau
- Lesson 04 - Working with Metadata
- Lesson 05 - Filters in Tableau
- Lesson 06 - Applying Analytics to the worksheet
- Lesson 07 - Dashboard in Tableau
- Lesson 08 - Modifications to Data Connections
- Lesson 09 - Introduction to Level of Details in Tableau (LODS)
Specialisation in Tableau
Key Learning Objectives
- Become an expert on visualization techniques such as heat map, treemap, waterfall, Pareto
- Understand metadata and its usage
- Work with Filter, Parameters, and Sets
- Master special field types and Tableau-generated fields and the process of creating and using parameters
- Learn how to build charts, interactive dashboards, story interfaces, and how to share your work
- Master the concepts of data blending, create data extracts and organize and format data
- Master arithmetic, logical, table, and LOD calculations
Course curriculum
- Lesson 01 - Getting Started with Tableau
- Lesson 02 - Core Tableau in Topics
- Lesson 03 - Creating Charts in Tableau
- Lesson 04 - Working with Metadata
- Lesson 05 - Filters in Tableau
- Lesson 06 - Applying Analytics to the worksheet
- Lesson 07 - Dashboard in Tableau
- Lesson 08 - Modifications to Data Connections
- Lesson 09 - Introduction to Level of Details in Tableau (LODS)
Specialisation in Tableau
Key Learning Objectives
- Become an expert on visualization techniques such as heat map, treemap, waterfall, Pareto
- Understand metadata and its usage
- Work with Filter, Parameters, and Sets
- Master special field types and Tableau-generated fields and the process of creating and using parameters
- Learn how to build charts, interactive dashboards, story interfaces, and how to share your work
- Master the concepts of data blending, create data extracts and organize and format data
- Master arithmetic, logical, table, and LOD calculations
Course curriculum
- Lesson 01 - Getting Started with Tableau
- Lesson 02 - Core Tableau in Topics
- Lesson 03 - Creating Charts in Tableau
- Lesson 04 - Working with Metadata
- Lesson 05 - Filters in Tableau
- Lesson 06 - Applying Analytics to the worksheet
- Lesson 07 - Dashboard in Tableau
- Lesson 08 - Modifications to Data Connections
- Lesson 09 - Introduction to Level of Details in Tableau (LODS)
Specialisation in Tableau
Key Learning Objectives
- Become an expert on visualization techniques such as heat map, treemap, waterfall, Pareto
- Understand metadata and its usage
- Work with Filter, Parameters, and Sets
- Master special field types and Tableau-generated fields and the process of creating and using parameters
- Learn how to build charts, interactive dashboards, story interfaces, and how to share your work
- Master the concepts of data blending, create data extracts and organize and format data
- Master arithmetic, logical, table, and LOD calculations
Course curriculum
- Lesson 01 - Getting Started with Tableau
- Lesson 02 - Core Tableau in Topics
- Lesson 03 - Creating Charts in Tableau
- Lesson 04 - Working with Metadata
- Lesson 05 - Filters in Tableau
- Lesson 06 - Applying Analytics to the worksheet
- Lesson 07 - Dashboard in Tableau
- Lesson 08 - Modifications to Data Connections
- Lesson 09 - Introduction to Level of Details in Tableau (LODS)
Specialisation in Power BI
Key Learning Objectives
- Create dashboards from published reports
- Quickly generate visuals and dashboards with Quick Insights
- Use natural language in the Q&A feature to generate visuals for actionable insight
- Create and manage data alerts
- Get report layout and data visualization best practices
- Understand which charts/graphs to use depending on the question being answered or the story being told
- Use shapes to design, emphasize, and tell a story
- See how to incorporate custom visuals into your reports and dashboards
- Share reports and dashboards, including the pros and cons of each Complete a Power BI data analysis/visual project from start-to-finish
- Improve team collaboration with Microsoft Teams
- Know how to retrieve and prepare your data for analysis and visualization
- Learn how to create relationships between tables in your data model
- Create calculated columns and measures using the DAX language
Course curriculum
- Get and Prep Data like a Super-Nerd
- Lesson 2 - Develop Your Data-Nerd Prowess
- Lesson 3 - Generate Reports and Dashboards
- Lesson 4 - Tips & Tricks
Testimonials from our Students
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Ravi Kumar - Data Scientist
The Advanced AI Certification course helped me enhance my knowledge and skills in AI algorithms. It provided a solid foundation and practical insights to develop intelligent solutions. I highly recommend this course to anyone looking to excel in the field of AI.
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Neha Sharma - AI Researcher
I found the Advanced AI Certification course to be comprehensive and well-structured. It covered a wide range of topics, including mathematical foundations and coding skills. The live coding sessions were especially beneficial in understanding the practical application of AI concepts.
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Ajay Patel - ML Engineer
Taking the Advanced AI Certification course was a game-changer for my career. It equipped me with the necessary tools and knowledge to create smart applications. The mentor's expertise and guidance during the live coding sessions were invaluable. I'm grateful for this opportunity.
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Aarti Desai - AI Consultant
The Advanced AI Certification course provided me with a strong understanding of AI algorithms and their applications. It gave me the confidence to tackle complex AI projects. The course materials and resources were excellent, and the support from the mentor was exceptional.
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Anil Gupta - Data Analyst
Enrolling in the Advanced AI Certification course was one of the best decisions I made. The course covered all the essential aspects of AI, from programming languages to algorithm design. The practical exercises and live coding sessions gave me hands-on experience, which greatly benefited my learning journey.
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Pooja Singh - AI Developer
The Advanced AI Certification course exceeded my expectations. It provided a comprehensive understanding of AI concepts and technologies. The mentor's expertise and the interactive live coding sessions helped me gain practical skills and insights. This course has undoubtedly accelerated my career growth.
What do I need to know about this course
Can I get a certificate after advanced artificial intelligence?
Yes, you will get a certificate of completion that you can use to showcase your skills and knowledge to potential employers. After completing the course, you will be eligible for the internship.
Who is an online Artificial Intelligence course for?
An online Artificial Intelligence course is for anyone who wants to learn about artificial intelligence, regardless of your background or experience.
What are the prerequisites for learning this course?
The prerequisites for an online Artificial Intelligence course can vary depending on the course provider, but a basic understanding of computer science, mathematics, and programming is generally recommended.
What kind of job can I get after completing this course?
After completing an online Artificial Intelligence course, you can potentially work as a data scientist, machine learning engineer, or AI specialist in various industries such as finance, healthcare, marketing, and more.
What type of assignments will I need to complete this course?
Assignments depend on the curriculum, but typically, you will be required to complete quizzes, case studies, and projects to demonstrate your understanding of the course.