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The Data Science & Artificial Intelligence (AI) Course is designed for IT and non-IT professionals who are interested in transitioning their careers into data science, analytics, machine learning and artificial intelligence. The program includes practical training, industry certification and job placement support to help professionals secure a job as a Data Analyst or Data Scientist.
The data science & AI course is delivered in a 24-week part-time or 12-week full-time format and is designed for career-driven professionals to transition into the big data and AI industry.
Our program includes pre-work, intensive practical training, industry certification and a job outcomes program in collaboration with university partners. The course content has been tailored to give you the skills that are demanded by businesses in today’s rapidly evolving job market.
Remote learning is available for this data science & AI course. The interactive remote format enabled by video conferencing technology is a rich and connected experience featuring virtual break-out rooms, shared screens, digital whiteboards, peer-to-peer collaboration and instructor support.
Learn how to create predictive models by learning to wrangle, analyze, visualize, predict and find insight into data alongside the best data science trainers.
The Data Science & AI Program is a structured training program designed to help you develop the practical skills you will need as a data analyst or data scientist. After completing your Data Science & AI Program, you will receive the recognition as a Certified Data Science and Artificial Intelligence Professional (CDSAIP)™️ from the Institute of Data®.
Hundreds of professionals choose the Institute of Data every year to prepare them for their future careers after careful consideration of their desired career progression and to attain maximum return on investment for their education. Leading the future of the profession, the Institute of Data offers a collaborative and successful program, driven to ensure you have the best start to your career.
Practical data science training is an essential requirement to practice as a Data Scientist or Data Analyst. Learn from industry experts on how to apply machine learning and AI techniques for businesses and government organizations, including business consulting and simulating commercial projects.
“I wanted to be able to maintain my full-time job while building on my skills. The part time nature and career assistance at the end of the program are the main things that appealed to me.”
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Course Introduction and Overview
Programming Fundamentals for Data Science
Maths & Statistics Fundamentals for Data Science
Data Science Practice (ongoing)
Data Cleaning and Quality Assessment
Data Visualisation
Statistical Testing
Succeeding as a Data Scientist in Industry
Mini Project 1 – Data Science Practice
Critical Thinking Training
Relational and Non-Relational Databases
SQL
Application Programming Interfaces (APIs)
Data Science Practice (ongoing)
Introduction to Machine Learning
Feature Modelling
Evaluating Regression Models
Overfitting and Regularisation
Questioning Technique Training
Logistic Regression
Evaluating Classification Models
Support Vector Machines
Bayesian Inference
Data Science Practice (ongoing)
K-means Clustering
Principal Components Analysis
Research and Documentation Training
Mini Project 2 – Data Science Practice
Decision Trees
Random Forests
Bias and Variance
Bagging
Boosting
Stacking
Data Science Practice (ongoing)
Web Scraping
Text Pre-processing
Sentiment Analysis
Text Classification
Presentation Skills Training
Data Science Practice (ongoing)
Introduction to Artificial Intelligence
Reinforcement Learning
Deep Feedforward Neural Networks
Recurrent Neural Networks
Convolutional Neural Networks
Mini Project 3 – Data Science Practice
Introduction to Cloud Computing
Deployment of Machine Learning Models
Cluster Computing
Streaming Data
Storytelling Training
Capstone Project
Additional Topics: Determined by Students and Lead Trainer
Job Outcomes Program
Consultation and Presentation Training
Data Science Practice
Capstone Project
4 benefits of taking an artificial intelligence with Python course now
An artificial intelligence with Python course is your key to learning crucial skills that shape today’s industries. As AI continues to change job roles, mastering Python for AI could be the career move that sets you apart.
Python is known for its flexibility and ease, making it an essential tool for building advanced analytics capabilities used in data science and AI programming. At the Institute of Data, our Data Science & AI Course covers both the basics and the advanced areas, like deep learning Python and machine learning Python.
By completing the course, you’ll gain expertise in crucial areas such as neural networks and advanced AI techniques. This certification can significantly boost your career in the fast-evolving world of AI.
#1: Start learning AI with Python, even without a technical background.
Strengthen your Python programming skills for data science applications.
Whether you’re just starting or already familiar with Python coding, advancing your Python skills can unlock more complex tasks in data science. Python is central to building algorithms and using machine learning Python libraries, making it essential for data manipulation and analysis.
By finishing our artificial intelligence with Python course, you’ll gain the ability to tackle a wide range of data-related projects and uncover insights from even the most intricate datasets.
Solidify your understanding of math and statistics to enhance your data analysis capabilities.
Math and statistics are essential for effective data analysis. Having a solid grasp of these areas gives you the confidence to approach data challenges with precision and clarity. Our artificial intelligence with Python course introduces these concepts in a clear, accessible way, ensuring participants from all backgrounds gain the knowledge needed for thorough data evaluations.
With a balanced approach to theory and practical application, you’ll develop the skills to turn data into actionable insights, transforming data analysis into a powerful tool.
#2: Learn core data science and AI skills.
Explore data wrangling, visualization and machine learning techniques.
Data wrangling and visualization are critical for turning raw data into actionable insights. In a data science and artificial intelligence with Python course, you’ll learn how to clean, prepare and analyze data using Python libraries.
These tools help present complex data in a simple, visually appealing way. You’ll also explore machine learning, building predictive models that improve with more data. With these skills, you can effectively tackle real-world data challenges.
Master advanced topics like deep learning and natural language processing.
To excel in data science, understanding advanced concepts such as deep learning and natural language processing (NLP) is crucial. At the Institute of Data, you’ll explore how neural networks can recognize intricate patterns and how NLP can enable machines to comprehend and process human language.
This includes training neural networks and applying them to tasks like sentiment analysis and web scraping. These advanced skills are crucial for solving complex problems in tech-driven industries.
Get practical experience with databases, APIs and cloud-based tools.
The data science and artificial intelligence with Python course teaches you to manage databases and handle large datasets, interact with APIs for real-time data exchange and use cloud-based tools to scale and deploy projects. These skills ensure you’re ready to work with cutting-edge technologies in the field.
#3: Learn from the best in the field.
All our course offerings at the Institute of Data, including our Software Engineering Course, Data Science and Artificial Intelligence with Python Course and more, are led by experienced professionals who bring real-world insights into every lesson.
These experts share the latest industry practices, tools and challenges, going beyond theory to prepare students for the demands of the field. Their guidance ensures that students understand complex concepts while gaining practical knowledge about what employers expect in data science roles.
Go beyond the basics with project-driven, practical training.
This course includes mini projects throughout the curriculum, allowing students to apply their skills to real-world scenarios. A final capstone project further consolidates their learning by tackling a comprehensive challenge. This project-driven approach helps students build confidence and develop a solid foundation for future career opportunities.
#4: Gain industry-recognized certification and career support.
Get certified as a Data Science and AI professional.
Completing the data science and artificial intelligence with Python course provides you with a professional certification from the Institute of Data, along with a Certification of Completion. These credentials validate your expertise in data science and Python AI, helping your CV stand out to employers.
This certification from our online Python course ensures you are ready for skill development and career advancement, proving you are ready for industry challenges and professional growth. It’s the same when you complete our cybersecurity course and other programs.
Access Job Outcomes Support to help you land your next role.
Transitioning into a new role can be easier with the right support. Our Job Outcomes Support offers assistance with resume building, interview preparation, networking and more. You’ll also connect with industry professionals, giving you valuable insights and opportunities as you move into your new career.
Frequently Asked Questions (FAQ)
What are the prerequisites for enrolling in this AI with Python course?
To enroll in the Data Science & AI Program at the Institute of Data, a bachelor’s degree in any field is required, along with proficiency in English to fully engage with the material and discussions. You’ll also need to complete any pre-work provided. These requirements help ensure all participants can effectively benefit from the program.
What tools or environments should I set up before starting?
You’ll need access to a Python programming environment for coding exercises and assignments. The course materials will provide clear instructions on setting up additional tools for coding, data analysis and machine learning. Being prepared with these resources ensures you can start learning and applying new skills right away.
What career opportunities can I expect after completing the course?
Completing the course equips you for a variety of roles like Data Analyst, Data Scientist, Machine Learning Engineer or AI Specialist. These positions are highly sought after in industries such as finance, healthcare and technology, all of which depend on data-driven decisions.
With these skills, you’ll be more competitive in the job market and positioned to work in innovative fields, boosting your career growth and opportunities.
Pioneering your data-driven future with practical AI skills
The Institute of Data offers flexible, practical courses designed for the fast-changing digital economy. Led by industry experts, our programs provide the technical skills needed for AI roles that are in high demand. You’ll master Python, a key language in AI development, ensuring you stay competitive.
As AI skills become more critical, our flexible education helps you balance learning with your schedule. Download a course outline today and start training for future career opportunities.
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Discuss with a Career Consultant
You can schedule a call with an Institute of Data Career Consultant to discuss this course.