What are you, a student, teacher, or a developer? I understand that you have a passion for establishing your career in Artificial Intelligence based on previous points. Worry not because Green Learning provides the top Artificial Intelligence courses that meet your requirements.
Understanding of Artificial intelligence (AI)
All these are areas where artificial intelligence commonly termed AI is revolutionizing how businesses and government agencies create and apply information. AI can be considered as different from plain programming, the language to be coded will depend on the program.
Nearly all enterprises are currently striving to incorporate AI into their operations and offerings. Many industries employ AI for various purposes, such as applications in finance, healthcare, smart appliances, retail, fraud detection, and security cameras.
Information About the Artificial Intelligence Course
This course provides an introduction to Artificial Intelligence (AI) and its application in practical scenarios, and therefore basic knowledge of AI machine learning courses, neural networks, and or probabilistic methods would be advantageous.
Your professors and instructors will always be right there with you, helping you along your learning process.
Boost Your AI Career: Accredited AI & ML certificates can be earned to improve the training suitability of professionals.
Hands-On Learning: Acquire proficiency in performing projects and applications that are helpful in the actual arena.
High-Quality Learning: Get access to some of the most advanced courses that come with AI and the latest technologies.
1. MIT’s Professional Certificate Program in Artificial Intelligence
The program is aimed at IT specialists with more than 3 years of practice in such fields as computer science, statistics, physics, or electrical engineering.
MIT strongly encourages anyone who is in data analysis or a manager who wants to learn more about predictive modeling for his/her company to take this program.
This program is run like any typical college course and takes 16 days to complete and it is taught in summer either online or at MIT. Lessons are delivered by the professors of AI from MIT, which is amongst the best in the world.
It suggests starting with two fundamental prerequisite courses. These are Machine Learning for Big Data and Text Processing: Foundations and Machine Learning for Big Data Implementation and Text Analysis Advanced.
The Foundations course costs $2, 500 while the Advanced course costs $3, 500. The balance of the 11 days is comprised of elective courses, which are from two to five days in length and range in tuition between $2,500 and $4,700.
2. Artificial Intelligence Graduate Certificate from School of Engineering, Stanford University
Potential entrants to this course should also have a bachelor’s degree with a minimum 3.0 GPA and prior college calculus and linear algebra, specifically proficiency with a derivative of vectors and matrices and other relevant symbols and operations.
Knowledge of probability theory and basic probability distributions is required. Experience in programming languages JCl & JS or C/C++, C/C++, Python, or any other similar language is also essential; This should include Linux command-line workflows.
This Certificate program seeks to establish the modalities of the basics of AI such as logic, probabilistic models, machine learning, robots, and knowledge representation.
Understand how machines can solve problems, reason, learn, and socially interface, and about how to create, evaluate, and deploy algorithms.
3. An Overview of TensorFlow in Artificial Intelligence
This course is for developers who code and intend to develop scalable AI algorithms. Applicants should have high school mathematics and basic programming in Python. It is, however, beneficial if you have prior knowledge in the field of machine learning or deep learning.
His four-course deeplearning.ai certificate program lasts for 18 hours and is aimed at explaining best practices related to Tensorflow, an open-source machine learning platform.
Students will also get to understand how to implement the basic neural network in TensorFlow understand how to train the neural network for computer vision purposes and learn how to enhance the neural networks by using values of convection.
4. Artificial Intelligence A-Z 2024: Construct 7 AI + LLM & ChatGPT employ Udemy
No prior knowledge is required for this course, as long as you have had at least high school Mathematics and some understanding of Python code.
This is an all-inclusive online course aimed at acquainting the participants with both the basics and more elaborative content of AI ML courses and deep learning.
The course is divided into 22 sessions, totaling 130 lectures and 15.5 hours of video material. It also has 19 articles, 12 handouts/copy masters, many practical activities and exercises, and 54 projects. The cost of the course is $199, and all the coding is done in Google Colab.
The below projects are the following:
- Process Optimization AI: Q-Learning Algorithm.
- AI of Moon Lander with Deep Q-Learning.
- Deep Convolutional Q-Learning for Pac-Man AI.
- Kung Fu Fighter AI with A3C.AI for Self-Driving Car using PPO.
- Yet another Self-Driving Car AI using SAC.
- AI Doctor Chatbot by enhancing Llama 2 LLM.
Upon completion, students receive access to three extra AI models: four major groups of the AC: DDPG, Deep Deterministic Policy Gradient Full World Model, and Evolution Strategies and Genetic Algorithms.
5. LinkedIn Learning for the Fundamentals of Artificial Intelligence
It is open to everyone who has no prior knowledge of the topic; 10 short courses in this learning path are delivered by industry professionals.
They are intended to assist learners achieve fundamental and advanced objectives to make better decisions and informed contributions in organizations on AIML courses particularly. Students will earn a certificate of completion from LinkedIn Learning after completing the following 10 courses:
- Basic Training of AI Accountability.
- Artificial Intelligence Foundations: Machine Learning.
- Artificial Intelligence Foundations: Thinking Machines.
- Artificial Intelligence Foundations: Neural Networks.
- Cognitive Technologies: The Real Opportunities for Business is laid out here.
- AI Algorithms for Gaming.
- AI The LinkedIn Way: Interview with Deepak Agarwal.
- AI for Project Managers.
- Learning XAI: European Union.AI for Cybersecurity.
6. Google Cloud’s first course with Generative AI Learning Path
Starting with the basics of generative AI and LLMs, the Generative AI Learning Path provides an introduction covering what is a generative AI. As it originates from Google, it is designed for particular Google tools, which is fine only if your company is entirely dependent on Google.
It also has a segment with information about responsible AI and shares responsibility among the learner, to always think about ethics concerning generative AI.
Why AI certification is needed or important
AI certifications are important for the following reasons:
- Knowing and comprehending AI can guide people’s potential professional fulfillment in the world of artificial intelligence.
- AI is a dynamic area, and probably the most difficult thing is to try to follow its development at that rate. Certification is an extra reassurance to an employer about your awareness of the current state of affairs in the market.
- Credible AI certification can help to stand out from the crowd and prove to the employers that you have what it takes and what they need.
Who is the course for?
This technology course is specifically for learners who are aspiring entrepreneurs, and those who are interested in pursuing careers in AI and generative AI or any other careers.
Conclusion: Artificial Intelligence Course
AI is marking its impacts in industries as they are enabling professionals, as well as opening up fields of possibilities for development. As a developer, student, or entrepreneur interested in developing an AI firm, the listed courses provide a sequenced map to learn AI concepts, implementation, and even certification.
Every course is designed to meet abilities and career aspirations to offer practical training and certification. The learners should be able to place themselves strategically to benefit from the breakthroughs AI is bound to precipitate by funding these courses.
FAQs About Artificial Intelligence Course
1. What level l certifications can I get from these courses?
This entitles the holder to a professional certificate from MIT, Stanford’s Artificial Intelligence Graduate Certificate, and completion certificates from Udemy, LinkedIn Learning, and Google Cloud among others.
2. What is so special about these courses for my artificial intelligence career?
These courses are a wealth of ideas on AI, experience in the resolution of certain problems, and additional certifications that open wide perspectives to finding a job and becoming a professional.
3. Which course is good for developers who want to implement AI into their applications?
TensorFlow in AI course and Udemy’s AI A-Z are designed specifically for developers who want to create AI algorithms with a high degree of scalability and apply AI projects in practice.
