Artificial Intelligence is enjoying immense popularity across the globe. It has established its indomitable foothold in almost all fields of operations. AI has shown its contribution to varying fields like Finance, Retail, Healthcare, Automobile, Education, Entertainment, etc.
As a result, the demand for AI-certified candidates has increased dramatically. Most renowned organizations seek Machine Learning Engineers, Data Scientists, etc., to elevate the present condition. There are many AI courses that students can avail to get certified. Here we have listed a few which both beginners and experts can explore to grow in their careers.
10 free AI courses online
A basic knowledge of AI is extremely important in an era where AI is proudly reigning. If you are new to the entire concept of artificial intelligence, you can enroll in an AI or a generative AI course curated for both beginners and experts.
Listed below are the ten best free courses for learners.
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Artificial Intelligence Beginners Guide- Simplilearn
This course by Simplilearn is integrated with SkillUp and rewards you with a certificate upon completion. This self-paced, free online course can be completed within just an hour. The course will introduce you to the different AI and Machine Learning concepts. You will also learn the relationship between these two techniques. The course culminates with showing you AI’s evolving face and future and its range of applications.
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Introduction to Artificial Intelligence- Simplilearn
Another important AI course online that is free for candidates aspiring to be AI engineers is provided by Simplilearn in association with SkillUp. This self-paced course will take you only two hours to complete. The lessons focus on the difference between unsupervised, reinforcement, and supervised learning. You will also be educated on the introductory concepts and techniques of machine and deep learning. This is a very apt course for those without knowledge of AI and ML.
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Intro to Artificial Intelligence- Udacity
Stanford University offers the course in association with Udacity. The modules focus on teaching the students concepts like Game Theory, Natural Language Processing, Computer Vision, Advanced Planning, Probability, Machine Learning, etc. The attractive advantage of the certification is that a considerable section of the module consists of problem-solving sets. This incorporation helps students gauge their understanding of the concepts critically.
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AI for Everyone by Andrew Ng at Coursera
This course offers a non-technical introduction to artificial intelligence, focusing on its applications and societal impact. It’s perfect for beginners and business professionals looking to understand AI’s role in decision-making and strategy.
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Deep Learning Specialization by Andrew Ng at Coursera
A comprehensive program covering deep learning fundamentals, including neural networks, CNNs, RNNs, and advanced topics like attention mechanisms. It’s ideal for individuals with basic AI knowledge aiming to master deep learning techniques.
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Post Graduate Program In AI And Machine Learning
A practical program combining AI foundations, Python programming, machine learning, and AI model deployment. It caters to both beginners and intermediate learners, offering industry projects to build real-world skills.
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Advanced Executive Program in Applied Generative AI by IIT Madras and Simplilearn
Designed for professionals, this course explores generative AI concepts, LLMs, and real-world applications. It’s a great choice for experts seeking to specialize in cutting-edge AI technologies.
The demand for AI Professionals
AI is no longer a buzzword; it’s a transformative technology that businesses across industries are actively adopting. From healthcare to finance, AI is revolutionizing the way we work and make decisions. As a result, the demand for AI professionals has surged, creating a job market with ample opportunities.
Types of AI job roles
AI offers a diverse range of roles available, catering to an array of skill sets and backgrounds. Some common AI job titles include:
- Machine Learning Engineer: These professionals create algorithms that help computers extract valid information from data.
- Data Scientist: A data scientist analyzes and interprets complex data to enable organizations to make informed decisions based on this information.
- AI Research Scientist: These individuals focus on cutting-edge research and development of AI technologies.
- AI Product Manager: AI product managers oversee the development and deployment of AI-powered products and solutions.
- AI Ethics Specialist: With the growing concern about AI ethics, specialists in this field ensure that AI systems are developed and used responsibly.
Navigating the AI job interview
Once your resume grabs the attention of potential employers, you’ll likely be invited for an interview. Here are some strategies to ace the AI job interview:
1. Understand AI concepts
Be prepared to discuss fundamental AI concepts like machine learning, deep learning, neural networks, and natural language processing. Brush up on your knowledge and be ready to apply these concepts to real-world scenarios.
2. Solve technical challenges
Many AI interviews include technical challenges or coding assessments. Practice solving AI problems on platforms like LeetCode or HackerRank to hone your skills.
3. Showcase your projects
During the interview, talk about your AI projects in detail. Explain the problem you tackled, the algorithms you used, and the impact of your work. Visual aids like charts and graphs can help illustrate your accomplishments.
4. Demonstrate problem-solving
Expect questions that test your problem-solving abilities. Employ the STAR (Situation, Task, Action, Result) method to structure your responses, showcasing your ability to handle complex issues.
5. Ask thoughtful questions
During interviews for AI positions, expect questions that assess your technical knowledge and problem-solving abilities. Be prepared to discuss specific algorithms or models you have used in previous projects, demonstrate your understanding of data analysis techniques, and showcase how you approach complex problem-solving scenarios. You can also ask thoughtful questions about the company’s AI initiatives, team structure, and future projects towards the end. This demonstrates your genuine interest in the role.
Wrapping up
With the rapid progression of AI in today’s generation, its usage has expanded considerably. Hence, the contemporary candidates must have a basic understanding of the subject and its applications. Most beginner AI courses online are compact and can be completed quickly. However, choose courses from reputed organizations for your certification to be recognized.
