Course Provider
What will you learn in Python Programming for Artificial Intelligence course?
- In Python Programming for Artificial Intelligence Learner will get an Introduction to Python Programming.
- Also, will understand different data types in Python, Comparison operator and Conditional Statements, Looping statement, Functions and methods, Data Analysis - Numpy, Data analysis - Pandas, Introduction to Artificial Intelligence, Statistics, Data Visualization - Matplotlib, Data Visualization - Seaborn, Data Visualization - Pandas, Data Visualization - Plotly and cufflinks, Data Visualization - geographical plotting, Data pre-processing.
Python Programming for Artificial Intelligence
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Skill Type
Emerging Tech
- Domain
Artificial Intelligence
- Course Category
Deepskilling Course
- Placement Assistance
Yes
- Certificate Earned Joint Co-Branded Participation Certificate & Partner Completion Certificate
- Nasscom assessment Available
- Course Covered under GoI Incentive
Yes
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- Course Price
INR 20,000+ 18% GST INR 10,000 + 18% GST.till 30th May, 2023
- Course Duration
23 Hours
- Course Price
Why you should take Python Programming for Artificial Intelligence course?
Python provides the benefit of a reasonable code. AI and ML require solving complex algorithms. However, the simplicity of Python will ensure that developers can easily write the codes. Whenever opting for Python development, businesses should consider understanding the code. One of the main reasons most individuals opt for Python development is that it is easy to learn. Developers can easily understand Python codes, making it easier for everyone to understand the basics of machine learning. Many developers also believe that Python is a better language than others. Other languages do not provide the benefit of simplifying the concepts, and however, Python brings in the benefit of a collaborative environment. Python is a basic general-purpose language that can easily conduct a wide range of complex tasks. When companies hire python development professionals, they often test their knowledge.Who should take Python Programming for Artificial Intelligence course?
- For a student or anyone seeking employment, this is a great opportunity to build a rewarding, future-proof, and meaningful career.
- If you are already employed but are trying to rekindle your career in the exciting world of cybersecurity, this program is perfect for you.
Curriculum
- In this course, Learner will be able to understand the use cases of Python programming, Learner will understand the difference between C++ and Python programming language
- Learner will get Introduction to Google colab
- Learner will be able to understand different data types in python
- Learner will be able the different comparison operators in Python programming language
- Learner will be able to understand the conditional statements
- A better technical understanding of conditional statements
- Better understanding of looping statements and its usage
- Understand list comprehension topic
- Understand the usage of enumerate function
- Learner understands the usage of looping statements
- Understanding the usage of Lambda expressions
- Understanding the usage of Map and filter in Python
- Learner will understand the basics of NumPy array
- Understanding the concept of indexing in NumPy array
- Understanding the different operations in NumPy array
- Basic understanding of Pandas
- Important - How data frame looks like & importance of data frame in data analysis
- Understand the different ways to handle missing values in the data
- How to sort data and dig deeper into analysis by using group by in pandas
- Basic operations of Merging
- Joining and concatenating of data
- Hands on of Data analysis using Panda’s library
- Understand the basics of AI, ML and DL
- Understanding the basic understanding of Data science
- Understanding the NLP concept
- Understand why matplotlib is used
- Understand and learner should be aware of the different types of plots in matplotlib, hands on experience of basic matplotlib plotting
- Understanding the use cases of seaborn
- Understand and learner should be aware of the different types of plots in seaborn, hands-on experience of basic seaborn plotting
- Understanding the built-in data visualizations in pandas
- Practical coding of visualization in pandas, basics of plotly and cufflinks
- Practical coding of visualization in plotly
- Understanding the importance of geographical plotting
- Practical coding of visualization using choropleth
- Understanding the basics of data pre-processing which is helpful for other AI courses
- Understanding the methods of data cleaning, data transformation and data splitting