Best AI Training Courses In 2024

A world where machines can think, learn, and make decisions just like humans? It's not science fiction anymore. It's the reality of artificial intelligence. As AI continues to shape our future, more and more people are eager to dive into this fascinating field. We at StartupTalky understand the buzz around AI and how it's changing the game for businesses and individuals alike. So, you're interested in riding the wave of AI but don't know where to start? Don't worry, we've got you covered.

The internet is brimming with artificial intelligence courses that cater to beginners and experts alike. From Google's AI essentials to Stanford's healthcare-focused AI program, there's something for everyone. Whether you're looking to boost your career or simply satisfy your curiosity, these online AI courses offer a chance to learn from industry leaders and top universities. 

Google AI Essentials
IBM AI Developer Professional Certificate
DeepLearning.AI's Deep Learning Specialisation
Udacity's Artificial Intelligence Nanodegree
edX's Artificial Intelligence Professional Certificate
MIT OpenCourseWare's Artificial Intelligence
Google's Machine Learning Crash Course

Google AI Essentials

Google AI Essentials is a self-paced artificial intelligence course designed to help individuals across various industries boost their productivity using AI tools. In under 10 hours, learners gain practical skills to apply AI in real-world scenarios. The course covers essential topics such as using AI for idea generation, content creation, and effective prompt writing. It also emphasises responsible AI use by teaching learners to identify potential biases and avoid harm. This AI course is accessible to everyone, requiring no prior technical experience, and is structured to fit into busy schedules.

Course Overview

The course comprises five modules: Introduction to AI, Maximising Productivity with AI Tools, Discovering the Art of Prompt Engineering, Using AI Responsibly, and Staying Ahead of the AI Curve. Through a mix of videos, readings, and interactive exercises, participants learn to use generative AI tools, create effective prompts, and select appropriate AI tools for various work needs. The hands-on approach allows learners to immediately apply their newly acquired skills to workplace tasks.

IBM AI Developer Professional Certificate

The IBM AI Developer Professional Certificate is a comprehensive online programme designed to equip learners with practical skills in AI development. This self-paced course, offered through Coursera, can be completed in about six months with a commitment of 4-10 hours per week. It's suitable for both beginners and experienced professionals looking to enhance their AI skills.

Overview

This certificate programme covers essential aspects of AI, including machine learning, deep learning, natural language processing, and computer vision. Learners engage in hands-on projects and labs, gaining real-world experience in building AI models and applications. Upon completion, participants receive a professional certificate from IBM, a globally recognised leader in AI and technology.

Best Free AI Certification Courses for 2024

Discover the top free AI certification courses in 2024 to enhance your skills, covering key AI concepts, tools, and industry-relevant knowledge.

StartupTalkyRishi Mundra

DeepLearning.AI's Deep Learning Specialisation

Deep Learning Specialisation is a comprehensive artificial intelligence course that equips learners with foundational skills in deep learning. This programme, led by AI pioneer Andrew Ng, offers a blend of theoretical knowledge and practical applications. The specialisation comprises five courses, covering neural networks, optimisation techniques, and advanced topics like convolutional and recurrent neural networks.

Specialisation Course Structure

The specialisation is structured into five courses:

1. Neural Networks and Deep Learning
2. Improving Deep Neural Networks
3. Structuring Machine Learning Projects
4. Convolutional Neural Networks
5. Sequence Models

Each course builds upon the previous one, providing a logical progression through the field of deep learning.

Udacity's Artificial Intelligence Nanodegree

This one is designed to equip learners with essential skills in AI development. This programme offers a blend of theoretical knowledge and practical applications, making it an excellent choice for those looking to start or advance their careers in AI.

Programme Structure

The nanodegree is structured into two terms, each lasting three months. Students are expected to dedicate approximately 15 hours per week to complete the programme successfully. The curriculum

covers a wide range of topics, including machine learning, probabilistic reasoning, robotics, computer vision, and natural language processing.

edX's Artificial Intelligence Professional Certificate

It is a course that equips learners with essential skills in AI development. This professional certificate program covers a wide range of topics, from basic concepts to advanced techniques in machine learning.

Curriculum

The curriculum includes courses on supervised machine learning, unsupervised learning, deep learning, and reinforcement learning. Students learn to apply common operations to datasets using Python, explain various learning models, and implement algorithms using Scikit-learn.

Skills Gained

Participants gain practical skills in data preprocessing, plotting, and analysing factors that impact algorithm performance. They also learn to optimise machine learning pipelines, implement clustering techniques, and train deep neural networks for classification and regression tasks.

Top 10 AI Tools for Students

Discover the top 10 AI tools curated to empower students in their educational journey. From productivity enhancers to learning aids, explore innovative technologies designed to support academic success.

StartupTalkyNitin Konde

MIT OpenCourseWare's Artificial Intelligence

This artificial intelligence course, offered by MIT OpenCourseWare, provides a comprehensive introduction to AI fundamentals. Led by Professor Patrick Henry Winston, it covers essential concepts in knowledge representation, problem-solving, and learning methods.

Course Structure

The course comprises lectures, recitations, and tutorials, offering a well-rounded learning experience. It delves into three major areas: Search, Machine Learning, and Knowledge Representation and Inference. Students engage with topics such as graph search, neural networks, and natural language processing.

Key Concepts

Learners explore AI applications in rule chaining, heuristic search, and constrained search. The course also covers decision trees, SVMs, and other learning paradigms, equipping students with practical skills in developing intelligent systems.

Google's Machine Learning Crash Course

This one is all about a practical introduction to artificial intelligence and machine learning. This free AI course comprises over 30 exercises, 25 lessons, and takes approximately 15 hours to complete. Taught by Google researchers, it provides real-world case studies and interactive visualisations of algorithms in action.

Crash Course Overview

The course covers fundamental machine learning concepts, including supervised and unsupervised learning, regression, classification, and neural networks. It's designed for both beginners and those with some programming experience, making it an excellent choice for anyone looking to enhance their AI skills.

Key Topics

Key topics include linear regression, logistic regression, neural networks, and working with numerical and categorical data. The course also delves into advanced subjects like large language models and ML fairness, ensuring learners gain a comprehensive understanding of artificial intelligence and machine learning.

Practical Exercises

Practical exercises run directly in the browser using the Collaboratory platform, allowing learners to apply their knowledge in a hands-on manner. These exercises cover various aspects of machine learning, from basic concepts to more advanced topics, helping students build practical skills in AI development.

End Note

We at StartupTalky believe that staying ahead in the AI game is crucial for success in the 21st century. No matter who you are – a budding entrepreneur or a seasoned professional, these courses offer a chance to level up your skills and stay competitive. And hey, if you're a founder looking to partner or work with experts in the startup world, don't hesitate to reach out to the StartupTalky team at shubham@startuptalky.com for all things 'startups'. When every day is a beginning, so why not start your journey today?

FAQ

Which is the best course to learn AI?

Here are the best courses to learn AI:

• Google AI Essentials
• IBM AI Developer Professional Certificate
• DeepLearning.AI's Deep Learning Specialisation
• Udacity's Artificial Intelligence Nanodegree
• edX's Artificial Intelligence Professional Certificate
• MIT OpenCourseWare's Artificial Intelligence
• Google's Machine Learning Crash Course

Can I learn AI in 3 months?

Yes, you can gain a basic understanding of AI in three months through focused online courses, especially covering foundational topics like machine learning, data science, and neural networks.

Is AI hard to study?

Studying AI can be challenging due to its technical concepts like machine learning, algorithms, and data analysis, but it’s manageable with dedication and consistent practice.