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Artificial Intelligence has permeated every corner of the job market, revolutionizing how tasks are performed—from software development to content creation. According to the 2024 Work Trend Index Annual Report by Microsoft and LinkedIn, 66% of leaders now prioritize hiring candidates with AI skills. It’s no brainer that in today’s competitive and rapidly evolving job market, gaining AI expertise is the key to standing out.To help you get started, we’ve compiled a list of affordable AI courses covering data science, machine learning, and more—perfect for boosting your career without breaking the bank.

IBM AI Foundations for Everyone Specialization by Coursera

This course will offer comprehensive insights into various key areas of Artificial Intelligence (AI). Topics covered include Artificial Intelligence (AI), ChatGPT, Large Language Models (LLM), Natural Language Generation, and Generative AI. It will also delve into important subjects like AI ethics, Natural Language Processing, and Machine Learning. Additionally, the course will explore advanced concepts such as Prompt Engineering and prompt patterns, providing a well-rounded understanding of AI technologies.

IBM AI Developer Professional Certificate by Coursera

In this course, you will gain a wide range of skills, including expertise in voice assistants, chatbots, and Python programming. You’ll explore various aspects of software engineering, software architecture, and the software development lifecycle (SDLC). The curriculum also covers Agile and Scrum methodologies, coding challenges, and interview preparation.
You’ll develop abilities as a full-stack developer, working with tools like JavaScript, CSS, Flask, and web application development. The course further delves into artificial intelligence (AI), machine learning, natural language processing, generative AI, prompt engineering, and AI ethics. Additionally, you’ll become proficient in data science and analysis using libraries like Numpy and Pandas, while also focusing on career development in software engineering and related fields.

Artificial Intelligence A-Z 2024: Build 7 AI + LLM & ChatGPT by Udemy

The course covers the development of seven distinct AIs for various applications, providing a strong foundation in Artificial Intelligence theory. It includes training on advanced AI models, such as Q-Learning, Deep Q-Learning, and A3C. Topics also include Proximal Policy Optimization (PPO), Soft Actor-Critic (SAC), and large language models (LLMs) with Transformers. The curriculum further explores techniques like Low-Rank Adaptation (LoRA), Quantization (QLoRA), and essential NLP methods for chatbot development, including tokenization and padding. Fine-tuning LLMs with knowledge augmentation and additional modules on DDPG, world models, evolution strategies, and genetic algorithms are also offered. The students will also earn a certificate of completion. Candidates need to have studied high school maths and possess basic python knowledge

Artificial Intelligence in the Real World by upGrad

This course offers an in-depth exploration of various machine learning techniques, covering their applications and real-world use cases. Participants will also gain insights into deep learning and how it distinguishes itself from traditional machine learning methods. The curriculum delves into the types of artificial intelligence (AI), their characteristics, and the wide range of applications across industries. Additionally, it highlights the significant impact AI is having on modern business functions, helping professionals understand how these technologies are transforming operational efficiencies and decision-making processes.

The Beginner’s Guide to Artificial Intelligence (Unity 2022) by Udemy

This course is designed to enhance non-player characters (NPCs) in games by instilling them with drive and ambition. Key topics include vector mathematics, waypoint systems, the A* algorithm for navigation, and industry-standard methods like behavior trees. The curriculum covers programming NPCs to perform various actions, including crowd dynamics and animated characters. With access to starter Unity assets, quizzes, and challenges, students will gain a solid understanding of AI in gaming, equipping them to elevate their own projects. Candidates need to have a basic knowledge of C# and the Unity Game Development Engine.