Best Reviewed Courses and Certifications to kickstart career in AI
Today, professionals emphasize their passion and proficiency in AI through well-curated portfolios, which serve as powerful tools for securing employment opportunities.
These portfolios showcase a candidate’s expertise in programming, technology development, and specialized industry knowledge.
Some notable AI certifications include the MIT course on “Artificial Intelligence: Implications for Business Strategy” and certifications from organizations like USAII and ARTIBA, offering designations such as Certified Artificial Intelligence Engineer, Consultant, and Scientist, Certified Artificial Intelligence Scientist (CAIS), Artificial Intelligence Certification from ARTIBA, Microsoft Certified: Azure AI Engineer Associate, and Intel® Edge AI Certification.
Institutions like Stanford University, MIT xPro, and UC Berkeley Executive Education also offer specialized programs in AI, covering topics ranging from designing AI products to implementing AI strategies in business. Best Artificial Intelligence Courses
1. Stanford University’s Artificial Intelligence Professional Program comes highly recommended by Hackr and offers a comprehensive curriculum covering various crucial areas in AI. The courses included are Machine Learning, Machine Learning with Graphs, Natural Language Processing with Deep Learning, Natural Language Understanding, Reinforcement Learning, and Deep Multi-Task and Meta Learning.
2. Hackr recommends the Artificial Intelligence A-Z course, which provides a thorough exploration of AI and its applications. Topics covered include Artificial Intelligence and its uses, AI Designs, Intuition Q-learning, Deep Q-learning, Deep Convolutional Q-learning, A3C, advanced AI model control, building Virtual Self-driving cars, AI programming for game testing and defeating them, and solving real-world problems using diverse AI designs.
3. Another Hackr-recommended program is the Artificial Intelligence Certification Program offered by Stanford University. This program delves into essential topics such as machine learning, knowledge representation, logic, probabilistic models, robotics, natural language processing, and visual learning.
4. DataCamp’s Understanding Machine Learning course is designed to provide a solid foundation in machine learning concepts and techniques. Topics covered include machine learning terminology, supervised and unsupervised learning, hyperparameter concepts, tuning, and an introduction to Deep Learning with NLP and computer vision.
5. Coursera’s AI course for Everyone, endorsed by Hackr, offers accessible learning on machine learning fundamentals. It covers topics such as the functions of machine learning, technical insights into machine learning, non-technical explanations of deep learning, and includes short quizzes to aid in understanding complex concepts.
In conclusion, the field of AI offers a multitude of opportunities for professionals willing to invest in their education and skill development. By obtaining relevant certifications, honing their skills through free courses, and building comprehensive portfolios, individuals can position themselves as competitive candidates in the rapidly evolving landscape of artificial intelligence.
