Artificial Intelligence Course
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Course Overview
Kickstart your career in Artificial Intelligence with this Bootcamp program by Simplilearn and IBM, equipping you with industry-relevant skills to excel as an AI engineer. Master key AI concepts, including Data Science with Python, Machine Learning, Deep Learning, NLP, and ChatGPT, through live sessions, practical labs, and real-world projects. Gain hands-on experience in AI fundamentals and cutting-edge technologies, transforming your career and gaining a competitive edge in the field.
What you will learn
By the end of this AI Bootcamp training, you will be able to accomplish the following:
- Understand the meaning, purpose, scope, stages, applications, and effects of artificial intelligence
- Design and build your own intelligent agents, applying them to create practical artificial intelligence projects, including games, machine learning models, logic constraint satisfaction problems, knowledge-based systems, probabilistic models, and agent decision-making functions
- Master the essential concepts of Python programming, including data types, tuples, lists, basic operators, and functions
- Learn how to write your own Python scripts and perform basic hands-on data analysis using Jupyter notebook software
- Gain an in-depth understanding of data science processes: data wrangling, data exploration, data visualization, hypothesis building, and testing
- Perform high-level mathematical and technical computing using the NumPy and SciPy packages and data analysis with the Pandas package
- Master the concepts of supervised and unsupervised learning models, including linear regression, logistic regression, clustering, dimensionality reduction, K-NN and pipeline, recommendation engine, and time series modeling
- Understand the concepts of TensorFlow, its main functions, operations, and the execution pipeline
- Master advanced topics in artificial intelligence, such as convolutional neural networks, recurrent neural networks, training deep networks, and high-level interfaces
Tools covered
- Keras
- NumPy
- Pandas
- Python
- R
- Scala
- SciPy
- Apache Spark
- TensorFlow
Course Modules
Our Artificial Intelligence Engineer Bootcamp is a highly comprehensive and extensive course that upon completion, showcases your rich understanding and industry-related training in the artificial engineering world.
The applied knowledge and hands-on skills you will gain come from working on various simulations, real-world projects and case studies over 5 course. The course content details for the bootcamp are summarised below.
Delve into AI basics and generative AI principles. Grasp the importance of explainable AI. Employ prompt engineering to enhance generative AI performance. Understand ChatGPT's mechanisms, features, and constraints. Explore varied ChatGPT applications. Gain foresight into generative AI's future and challenges.
-Lesson 1: Course Introduction
Course delivery format: online learning only
Learning python is a crucial skill for many data science and AI roles, and you can develop it with this Python data science course. With a blended learning approach, this course will help you get a complete overview of Python’s data analytics tools and techniques. Learn to use high level technologies such as matplotlib and pandas to turn your analysis into functional, dynamic visuals, and apply concepts such as data wrangling, mathematical computing and more.
-Lesson 1: Course Introduction
-Lesson 2: Programming Basics
-Lesson 3: Introduction to Python Programming
-Lesson 4: Python Data Types and Operators
-Lesson 5: Conditional Statements and loops
-Lesson 6: Python Functions
-Lesson 7: OOPs Concepts with Python
-Lesson 8: Threading
Course delivery format: online learning + live virtual classes
Kickstart your learning of Python for Data Science with this Data Scientist course and familiarize yourself with programming, tastefully crafted by IBM.
-Lesson 1: Course Introduction
Course delivery format: online learning + live virtual classes
The Data Science with Python course provides a comprehensive overview of Python's tools and techniques for data analytics. Learning Python is a vital skill for numerous data science roles, and you can cultivate it through this course. With a blended learning approach, you can grasp Python for data science alongside concepts such as data wrangling, mathematical computing, and more and propel your career as a data scientist.
-Lesson 1: Course Introduction
-Lesson 2: Introduction to Data Science
-Lesson 3: Essentials of Python Programming
-Lesson 4: NumPy
-Lesson 5: Linear Algebra
-Lesson 6: Statistics Fundamentals
-Lesson 7: Probability Distribution
-Lesson 8: Advanced Statistics
-Lesson 9: Pandas
-Lesson 10: Data Analysis
-Lesson 11: Data Wrangling
-Lesson 12: Data Visualisation
-Lesson 13: End to End Statistics Application with Python
Free Course:
-Math Refresher
Free Course:
-Statistics Essential for Data Science
Course delivery format: online learning + live virtual classes
Ensure career success with this Machine Learning course. Learn this exciting branch of Artificial Intelligence with a program featuring Applied Learning, interactive labs, 4 hands-on projects, and mentoring. With our Machine Learning training, master Machine Learning concepts are required for a Machine learning certification. This Machine Learning online course will provide you with the skills needed to become a successful Machine Learning Engineer today.
-Lesson 1: Course Introduction
-Lesson 2: Introduction to Machine Learning
-Lesson 3: Supervised Learning
-Lesson 4: Regression and Applications
-Lesson 5: Classification and Applications
-Lesson 6: Unsupervised Algorithms
-Lesson 7: Ensemble Learning
-Lesson 8: Reccomender System
Free Course:
-Math Refresher
Free Course:
-Statistics Essential for Data Science
Course delivery format: online learning + live virtual classes
Differentiate deep learning from machine learning. Explore various neural network types. Excel at forward and backward propagation in deep neural networks. Introduce modeling and performance enhancement in deep learning. Understand hyperparameter tuning and model interpretability. Learn dropout and early stopping implementation. Master CNNs, object detection, and RNN fundamentals. Grasp PyTorch basics and neural network creation.
-Lesson 1: Course Introduction
-Lesson 2: Introduction to Deep Learning
-Lesson 3: Perceptron
-Lesson 4: Deep Neutral Networks (DNN)
-Lesson 5: TensorFlow2
-Lesson 6: Model Optimisation and Performance Improvement
-Lesson 7: Convolutional Neural Networks (CNN)
-Lesson 8: Transfer Learning
-Lesson 9: Object Detection
-Lesson 10: Recurrent Neural Networks (RNN)
-Lesson 11: Transformer Models for NLP
-Lesson 12: Getting Started with Autoencoders
-Lesson 13: PyTorch
The capstone project allows you to implement the skills you learned throughout this bootcamp. You will solve industry-specific challenges by leveraging various AI and ML techniques. The capstone project will help you showcase your expertise to employers.
Optional electives are available as part of this Artificial Iintelligence Engineering Bootcamp Program.
These are not mandatory to complete, but are available as additional courses to study if you are interested in expanding your knowledge and further implementing your skills.
- Elective 1 - Deep Learning with Keras and TensorFlow by IB
- Elective 2 - ADL & Computer Vision
- Elective 3 - Natural Language Processing (NLP)
- Elective 4 - Reinforcement Learning
- Elective 5 - Advanced Generative AI
- Elective 6 - Industry Master Class - Artificial Intelligence
Payment Options
Course projects
This artifical intelligence certification course delivered by Simplilearn is co-developed with IBM and includes real-life, branded projects in different industries.
These real-world projects are designed with impact to help you master the key concepts of artificial intelligence such as supervised and unsupervised learning, reinforcement learning, support vector machines, Deep Learning, TensorFlow, neural networks, convolutional neural networks, and recurrent neural networks.
Below are the details on projects you will be working on.
Use Data to Make A Positive Social Change with Twitter
Build a Machine Learning Algorithm To Provide Customer Reviews
Apply Data Analytics Techniques To Achieve Fraud Detection
Forecast Accurate Sales for Walmart Stores
Show off your achievements
Earn your Artificial Intelligence Engineer Bootcamp Certification
Digital certificates are the new way for Upskilled and Simplilearn graduates to offer proof of their hard earned knowledge or skill set.
You will receive individual certificates after each short course. Additionally, upon completion of the entire bootcamp, you will earn a certificate demonstrating your competence and expertise as a artificial intelligence engineer.
Differentiate Yourself
Set yourself apart from the competition with the Artificial Intelligence Engineer Bootcamp certificate. This is your ticket to get your foot through the door and proof that you have applied artificial intelligence engineering knowledge and skills to real-world projects making you job ready as a full-fledged expert.
Share your achievement
You worked for it, you earned it! Share your achievement loud and proud! Talk about your artificial intelligence engineering certification on LinkedIn, Twitter, Facebook. Add it to your CV to stand out and showcase to your employers.
Data Analyst Course course advisor
Ronald van Loon
Top 10 Big Data and Data Science Influencer, Director - Adversitement
Named by Onalytica as one of the three most influential people in Big Data, Ronald is also an author of a number of leading Big Data and Data Science websites, including Datafloq, Data Science Central, and The Guardian. He also regularly speaks at renowned events in IoT, Big Data and Data Science.
FAQs
An Online Bootcamp is an intensive and accelerated learning program made up of a collection of self-paced eLearning components and live online classes that students are required to attend.
The Online Bootcamp program curriculum contain a combination of specifically chosen courses and career-critical skills that are aligned to a job role.
A Short Course on the other hand are shorter courses that is designed to target developing a specific skillset or topic. They generally are much quicker to complete than Bootcamp Programs.
No qualification is necessary for a career in artificial intelligence. However, it is recommended that the student has a fundamental understanding of python programming and statistics.
Online education or distance learning has made education more accessible for students and professionals around the world. Online learning has also transformed the way individuals learn in terms of learning material and practice. An online artificial intelligence course syllabus is very much different to a traditional course syllabus. While there are in-person benefits such as collaboration in a traditional course, there is lack of flexibility as you must attend your classes in person and material is not readily available.
In an online artificial intelligence course, online learning material (written content, interactive quizzes, video content and hands-on exercises and real-world projects) is readily available with lifetime access, which you can access anytime anywhere. In an online course, there is higher flexibility as you get to work at an individualised pace, set your own study hours and time to suit your current lifestyle. Online learning courses are also designed with live interaction and practical projects, which allow you to build peer to peer collaboration and gain hands on experience in the artificial intelligence field.
There are numerous online artificial intelligence courses. Sometimes it can be overwhelming ito pick out the best option. Finding the right artificial intelligence course for you is not only important but will set you up for success in your career as a artificial intelligence professional.
It is best to take into consideration the below factors when choosing the best course for you:
- Quality of education
- Content material
- Credibility of courses
- Funding options
These days employers and organisations value a hands-on learning approach that covers working on real projects and applications, as well as experience working with cutting edge technologies. The best artificial intelligence course for beginners should involve practical content, thorough video content and include live interactions between advisors and students. Good artificial intelligence courses such as bootcamps are engaging, challenging and motivating for students to enjoy, whilst enhancing their knowledge and skills.
A related degree in Artificial Intelligence is not necessary to be eligible for an online AI learning course. Most online artificial intelligence programs are built on fundamental computer science fundamentals such as Python programming and statistics.
This AI online course is designed for both beginners and experienced professionals looking to enter the field.
Artificial Intelligence (AI) is the science and engineering of making intelligent machines, especially computer programs. It enables computer programs to perform tasks that usually require human intelligence. Using various principles and techniques in AI, computers can be trained to accomplish tasks by processing large volumes of data and recognizing patterns.
Artificial intelligence (AI) makes it possible for machines to learn for themselves, make decisions and perform human-like tasks. By harnessing the power of AI, we can develop systems that automatically understand their environment, detect changes and react accordingly. This unique ability disrupts traditional models of learning and decision-making, dramatically increasing speed, precision and efficiency.
As such, online AI learning courses are increasingly valued due to their emphasis on a hands-on focused and immersive learning approach. These days many organisations value skills that are job ready and demonstratable, and AI Certification bootcamp courses are an appraised path to achieve this practical experience.
The Artificial Intelligence online course is designed for both entry-level individuals and for experienced professionals looking to enter the world of artifical intelligence engineering.
You'll find a range of students from various backgrounds such as:
- Developers aspiring to be an AI Engineer or Machine Learning Engineer
- Analytics Managers who are leading a team of analysts
- Information Architects who want to gain expertise in Artificial Intelligence algorithms
- Analytics professionals who want to work in machine learning or artificial intelligence
- Graduates looking to build a career in Artificial Intelligence and machine learning
- Experienced professionals who would like to harness Artificial Intelligence in their fields to get more insight
To enrol in this Artificial Intelligence online course, you'll need to first submit an enquiry form via our website. You'll need to provide the following details:
- Your Name
- Best Phone Number
- Email Address
Once you've submitted your online form, one of our education consultants will be in touch within 48 hours.
During the consultation, you'll be able to ask questions regarding payment options, learning content and what career outcomes you can pursue if you complete your studies.
There are various career roles an AI certification student can work in upon completion of the online course. Some examples of career roles include: AI Engineer, AI Developer, AI Architects, Machine Learning Engineers, Data Scientists or Big Data Engineer