With the rise in Artificial Intelligence across the landscape of the world and the disruption it brings to almost every aspect of human life, no one wants to miss out on the trend.

But a trend? I don’t think so

Artificial Intelligence is now beyond just another trend, as trends fade away after a certain- short or extended period of time. But AI, just like the internet was introduced and blew up in the early 1900s and has been a part of human existence till tomorrow, so also artificial intelligence is gradually becoming a significant part of our existence as humans in this civilization which is here to stay.

Its significance is extremely powerful as it is on track to be the key technology that enables business transformation and gives companies a competitive edge.

AI can help businesses be more productive by automating their processes, which includes using robotics and autonomous vehicles. It can also help by supporting their existing workforces with AI technologies such as assisted and augmented intelligence. Most organizations are working to implement AI in their business processes and products.

Organizations are using AI in various business applications, including finance, marketing, healthcare, smart home devices, retail, fraud detection and security surveillance.

With this bird’s eye view of the significance of Artificial Intelligence, it is very expedient that as a career professional and or a business individual or an entrepreneur who wants to continually stay on the crux of their journey, you should have a definite, whether basic or in depth knowledge of this whole new world.

But why’s a certification in AI important?

It is important for various reasons including:

1. Taking a course and getting certified in AI can set an individual on a trajectory of a successful and adventurous career.
2. There are constant changes in the field of AI, and it can be a challenge to keep up with that pace of change. A certification would inform anyone you are familiar with the latest developments in the field
3. A certification in AI can set you apart from the competition and reveal to employers that you have the skills they want and need
4. AI demands advanced education. A National University examination of 15,000 job postings on Indeed.com found that nearly 80% of AI job openings require candidates to have a master’s degree, while 60% demanded at least a bachelor’s degree. Another 18% required a PhD, while only 8% would consider a high school diploma.

So here are the Top 5 AI Courses and Certifications

1. IBM Applied AI Professional Certificate by Coursera

This is a beginner-level AI certification course that will help students know how to do the following including:

• Understand the basics of artificial intelligence; its applications and use cases; and key AI technologies, such as machine learning, deep learning and neural networks.
• Build AI-powered tools using IBM Watson AI services, APIs and Python with minimal coding.
• Create virtual assistants and AI chatbots without programming and deploy them on websites.
• Apply computer vision techniques using Python, OpenCV and Watson.
• Develop custom image classification models and deploy them in the cloud.

Requirements: While the series is open to everyone with both technical and nontechnical backgrounds, the final two courses require some knowledge of Python to build and deploy AI applications.

For students with no programming background, an introductory Python course is included.

You can check it out here

2. Deep Learning Specialization by Andrew Ng via Coursera

This detailed series of five intermediate to advanced courses, covers neural networks and deep learning as well as their applications. Learners will be able to:

• Build and train deep neural networks.
• Identify key architecture parameters.
• Implement vectorized neural networks and deep learning to various applications.
• Build a convolutional neural network.
• Apply it to detection and recognition tasks.
• Use neural style transfer to generate art.
• Apply algorithms to image and video data.

Students will also build and train recurrent neural networks, work with natural language processing (NLP) and word embeddings, and use HuggingFace tokenizers and transformer models to perform named entity recognition and question answering.

Requirements: Intermediate Python skills; basic programming; understanding of loops, data structures; and a basic understanding of linear algebra and machine learning (ML).

To get started, click here

3. Google Cloud’s Introduction to Generative AI Learning Path

This certificate inclusive course by Google covers what generative AI and large language models are for beginners. It is oriented around specific Google applications, which is only good if you are a Google shop. Tools used include Google Tools and Vertex AI. It includes a section on responsible AI, encouraging the learner to keep ethical practices around the generative AI in mind.

To start, check here

4. Master the Fundamentals of AI and Machine Learning via LinkedIn Learning

This bundle, open to everyone regardless of experience, includes 10 short courses presented by industry experts. They aim to help anyone master the fundamentals and future of AI and ML (machine learning) and make more educated decisions and contributions in their organizations. Students will learn how leading companies are using AI and machine learning to alter how they do business as well as gain insight into addressing future ideas regarding issues of accountability, security and clarity in AI. They will also earn a certificate of completion from LinkedIn Learning after completing the following 10 courses:

AI Accountability Essential Training.

Artificial Intelligence Foundations: Machine Learning.

Artificial Intelligence Foundations: Thinking Machines.

Artificial Intelligence Foundations: Neural Networks.

Cognitive Technologies: The Real Opportunities for Business.

AI Algorithms for Gaming.

AI The LinkedIn Way: A Conversation with Deepak Agarwal.

Artificial Intelligence for Project Managers.

Learning XAI: Explainable Artificial Intelligence.

Artificial Intelligence for Cybersecurity.

Register here

5. Artificial Intelligence A-Z 2024: Build 7 AI + LLM & ChatGPT via Udemy

This course via Udemy is a comprehensive online course designed to teach both the fundamentals as well as advanced concepts of AI, machine learning and deep learning.

The key topics covered include

• State-of-the-art AI models
• Q-learning and deep Q-learning
• Proximal policy optimization (PPO)
• Large language models, transformers, NLP techniques for chatbots
• Asynchronous Advantage Actor-Critic (A3C)
• Soft Actor-Critic (SAC).

It is segmented into 22 sections, comprising 130 lectures and 15.5 hours of video content. It also includes 19 articles, 12 downloadable materials, and a number of practical tasks as well as projects. This course costs $199.

It also includes a free 3-hour extra course on generative AI and LLMs with cloud computing.

Requirements: A basic understanding of math and Python programming.

You can apply here

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