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Course Section:
  • Summary
  • Highlights
  • Syllabus

Today, we all live in a digital world, and digital marketing concepts are constantly updated. Knowledge of artificial intelligence and machine learning is increasing at a rapid pace. This AI ML course can change the course of your life and career once you enroll in it.

This is why if you learn the skills of Artificial Intelligence & Machine learning then you can easily stand out in the competition. Today, every aspect of business revolves around data. In short, we are now residing in a data-driven world.

Now, there are various institutes present in India that can offer you courses in data science. But the real challenge starts from here, out of many you have to select the best.

Prerequisites For Artificial Intelligence & Machine Learning Course

Anyone who wants to complete the artificial intelligence & machine learning course can join this course after completing 12th grade. So, there are no obligations regarding this matter towards the students.

Why Artificial Intelligence & Machine Learning?

The demand for Artificial intelligence & machine learning has increased at a rapid pace for a few years. Every sector is now moving their interest from offline mode to online mode. So, the entire world is moving towards digitization. This is why AI & ML course is getting so much leverage in the industry. Now, let’s find out the reasons why you need to learn it.

  • The demand for AI ML course skills is high among the workforce.
  • Powering innovation and problem-solving skills increase.
  • All the crucial business decisions will be based on data.
  • Empowers business functions by increasing its efficiency.
  • It will improve your productivity and lifestyle.
  • Addresses ethical questions and societal challenges.
  • It prepares the chances of future domination.

Why Artificial Intelligence Training & Machine Learning from ICA?

There are various reasons why you should avail the courses in AI and machine learning from ICA. Some of the core reasons are as follows:-

  • NSDC Certification
  • IOA Analytics certification
  • Practical Training
  • Real-life Projects

What Skills Will You Learn From AI & Machine Learning Program?

There are different forms of skills you can learn from Artificial Intelligence & Machine learning courses. Some of these course curriculum that you will learn from this course are as follows:-

1. Microsoft Excel

Microsoft Excel is the basic tool for data analysis. All your valuable data and information can be kept in Microsoft Excel. Additionally, today also most people don’t know the basics of Excel properly. So, this certification course can be of great help to you.

  • Basics of Excel.
  • Data analysis in Excel.
  • Google sheets.
  • Formula, loops.

2. Statistics

In the field of data science, only statistics analysis can offer you accurate information to have the proper information of data. In this section, you will learn how to use statistical data to reach a decisive conclusion regarding any matter. Some of the core concepts that you will learn here are as follows:-

  • What is statistics?
  • Types of statistics
  • Graphs
  • Charts distribution.
  • Standard deviation.
  • Variance.
  • Measure of dispersion.
  • Sampling Probability theorems.
  • Type of probability
  • Distribution.
  • Z Score.
  • Hypothesis testing.
  • Types of hypothesis testing.
  • Types of errors in hypothesis testing.

3. R Language

The R language is another AI and Machine Learning you must learn from this post-graduation course. It is designed for statistical computing, data analysis, and data visualization. In most cases, it is widely used in data science. In AI ML course the need for R language is huge.

The course curriculum for this topic stands as follows:-

  • Download and install.
  • Introduction to R.
  • Basics to R.
  • Writing A code.
  • Operators.
  • Function.
  • Data structure.
  • Data type.
  • Visualization.
  • Packages.
  • Conditional statements.
  • Loops.

4. Python

Python has become one of the most popular programming languages for experts and beginners. This is due to its clean syntax that resembles English as well as its wide range of applications. Some of the core topics you will learn from this course are as follows:-

  • Know the process of downloading and installation of this software.
  • Introduction to Python.
  • Basic to Python.
  • Writing A code.
  • Operators.
  • Functions.
  • Data Structure.
  • Data type.
  • Visualization.
  • Library.
  • Conditional statements.
  • Loops.
  • File handling.

5. Machine Learning

Machine learning can help you to understand the concepts of artificial intelligence. In this process, it helps to build systems that learn from data and improve performance over time. Thus it is exclusively programmed for each specific task. There are certain topics you will learn from this course. Some of these topics are as follows:-

  • Linear Regression.
  • Logistics Regression.
  • Clustering.
  • Decision free.
  • Random Forest.
  • Time Series.
  • Support Vector machine.

6. Advance AI & ML -1

The Advance AI & ML -1 course will clarify your doubts about the basic level of machine learning. You will understand the core concepts of it in a better manner. Additionally, you will understand how to make the applications of AI and ML in practical fields. Some of the core concepts that you will learn here are as follows:-

  • Ensemble Modelling.
  • PCA, LDA.
  • Neural Network.
  • Bagging and boosting techniques.
  • Deep Learning.
  • Tensor Flow.

7. Advance AI & ML -2

Advanced AI and ML-2 courses can offer you complete details about the depth of AI and ML. You will get complete insights about AI and ML learning. So, you can understand the requirements of AI & ML -2 in the future. This can boost the scope of your learning to a greater extent. Some of its key features of it are as follows:-

  • Recommendation Engine.
  • Introduction to all chatbots.
  • NLP and advanced text analytics.
  • Introduction to computer vision.

8. Data Visualization

Data visualization is one of the graphical representations of the data in visual and graphical formats. You must get through the charts, graphs, and maps to make things easier and effective for you. The main objective here is to make the complex data easier to understand and interpret as per your requirements. Some of the key topics it that you should understand here are as follows:-

  • Tableau
  • Power BI
  • Case Study

9. SQL.

Structured query language is a programming language that is managed and designed for configuring relational databases. It helps users to create, update, read, and delete data. This can boost the scope of your career development to a greater level. In various business applications, SQL language is used for web development purposes. Some of the key topics of this course are as follows:-

  • Install MySQL workbench
  • Introduction to SQL
  • Basic command in SQL
  • Advanced SQL coding
  • SQL with Python
  • SQL database overview

10. Big Data

Big data refers to massive volumes of structured, unstructured, and semi-structured data that can make things easier and more effective for you. This data is so large and complex that traditional data-processing software can't manage or analyze it efficiently. Now, the demand for data analysts is gradually increasing in the market. So, if you complete a Big data course then things can become easier for you. Some of the key topics that you will learn in this course are as follows:-

  • Introduction to Big Data Analytics
  • Hadoop
  • Spark

11. Domain Analytics

Domain analytics refers to specialized analysis of the data within a specific domain and industry. It will help you to generate insights for making informed decision making in this field. Thus it helps you leverage industry-specific knowledge within a particular time period. Some of the key topics covered in this section are as follows:-

  • Domain Analytics
  • Analytics for Marketing activity
  • Retails Analytics
  • It helps to offer you industry-specific knowledge

12 Projects

After the completion of the course you need to do certain project work for ICA. Some of the key aspects that you should be well aware of from your counterpart in this case:-

  • Recommendation engine
  • Chat Bot
  • Marketing Analytics
  • Finance Analytics
  • Retail Analytics
  • Healthcare Analytics
  • HR analytics
  • Sports Analytics

Tools Covered In This Course

There are several tools available to use while learning the AI&ML course. Some of the key tools that you must know to complete this course successfully are as follows:-

  • Pytorch
  • Keras
  • Deep Learning
  • Tensor flow
  • Computer Vision
  • Pandas
  • Clustering
  • Chat GPT
  • Microsoft Excel
  • Statistics
  • R Language
  • Python
  • Machine Learning
  • Advance AI & ML 1
  • Advance AI & ML 2
  • Data Visulation
  • SQL ( Database Management System )
  • Big Data
  • Domain Analytics
  • Live Project ( Any 2)
6 Hours 4 Lecture
Lecture 1 : Basic of Excel
Lecture 2 : Data Analysis in Excel
Lecture 3 : Formula, Loops
Lecture 4 : Google Sheets
15 Hours 15 Lecture
Lecture 1 : What is Statistics
Lecture 2 : Types of Statistics
Lecture 3 : Graph
Lecture 4 : Charts Distribution
Lecture 5 : Standard Deviation
Lecture 6 : Variance
Lecture 7 : Measure of Dispersion
Lecture 8 : Sampling Probability Theorems
Lecture 9 : Type of Probability
Lecture 10 : Distribution
Lecture 11 : Z score
Lecture 12 : Hypothesis Testing
Lecture 13 : Central Limit Theorems
Lecture 14 : Types of Hypothesis Testing
Lecture 15 : Types of errors in Hypothesis Testing
10 Hours 12 Lecture
Lecture 1 : Download and installation
Lecture 2 : Introduction to R
Lecture 3 : Basic to R
Lecture 4 : Wring a code
Lecture 5 : Operators
Lecture 6 : Function
Lecture 7 : Data Structure
Lecture 8 : Data type
Lecture 9 : Visualization
Lecture 10 : Packages
Lecture 11 : Conditional statements
Lecture 12 : Loops
10 Hours 13 Lecture
Lecture 1 : Download and installation
Lecture 2 : Introduction to Python
Lecture 3 : Basic to Python
Lecture 4 : Writing a code
Lecture 5 : Operators
Lecture 6 : Function
Lecture 7 : Data Structure
Lecture 8 : Data type
Lecture 9 : Visualization
Lecture 10 : Libraries
Lecture 11 : Conditional statements
Lecture 12 : Loops
Lecture 13 : File Handling
40 Hours 7 Lecture
Lecture 1 : Linear Regression
Lecture 2 : Logistic Regression
Lecture 3 : Clustering
Lecture 4 : Decision Tree
Lecture 5 : Random Forest
Lecture 6 : Time Series
Lecture 7 : Support Vector Machine
50 Hours 6 Lecture
Lecture 1 : Ensemble Modelling
Lecture 2 : PCA, LDA
Lecture 3 : Bagging and Boosting Techniques
Lecture 4 : Neural Network
Lecture 5 : Deep Learning
Lecture 6 : Tensor Flow
60 Hours 4 Lecture
Lecture 1 : Recommendation Engine (Recommender system)
Lecture 2 : Advance Text Analytics and NLP
Lecture 3 : Introduction to Chat Bot’s
Lecture 4 : Introduction to Computer Vision
15 Hours 3 Lecture
Lecture 1 : Tableau
Lecture 2 : Power BI
Lecture 3 : Case Study
8 Hours 6 Lecture
Lecture 1 : Install My SQL Work Bench
Lecture 2 : Introduction to SQL
Lecture 3 : Basic command in SQL
Lecture 4 : Advance SQL Coding
Lecture 5 : SQL Database Overview
Lecture 6 : SQL with Python
10 Hours 3 Lecture
Lecture 1 : Introduction to Big Data Analytics
Lecture 2 : Hadoop
Lecture 3 : Spark
32 Hours 7 Lecture
Lecture 1 : Domain Analytics
Lecture 2 : Marketing Analytics
Lecture 3 : Retails Analytics
Lecture 4 : Finance Analytics
Lecture 5 : HR Analytics
Lecture 6 : Health Care Analytics
Lecture 7 : Sports Analytics
Hours 8 Lecture
Lecture 1 : Recommendation Engine
Lecture 2 : Chat Bot
Lecture 3 : Marketing Analytics
Lecture 4 : Retails Analytics
Lecture 5 : Finance Analytics
Lecture 6 : HR Analytics
Lecture 7 : Health Care Analytics
Lecture 8 : Sports Analytics
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Frequently Asked Questions

It’s a high-level mastery of Excel used to automate tasks, analyze complex datasets, and create professional visualizations for data-driven decision-making.

It boosts productivity by automating repetitive tasks, enhances data accuracy, and opens doors to premium career opportunities in finance, analytics, and management.

The course follows an up-to-date industry syllabus, covering modern versions like Excel 2013, 2019, and Microsoft 365 features.

Key modules include Database Design, Advanced Formulas, Pivot Tables/Charts, Data Visualization, Protection, Mail Merge, and Google Drive collaboration.

You will master VLOOKUP, XLOOKUP, INDEX, MATCH, Logical functions (IF, AND, OR), Financial functions (PV, FV, PMT, IRR), and Array Formulas.

Yes, the curriculum includes mastering Macros to automate repetitive workflows and streamline your professional tasks effectively.

Absolutely. You will learn Power Query for data transformation and Power Pivot for advanced data modeling and big data analysis.

Yes, the training is 90% practical and includes real-life projects and case studies designed by industry experts to build your portfolio.

Yes, you will master Pivot Charts and advanced formatting to create professional, interactive dashboards that provide clear business insights.

Yes, the syllabus is regularly amended to include the latest industry-standard features, including XLOOKUP and modern data tools.

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