Since Artificial Intelligence (AI) is revolutionizing our lives and work, its importance is increasing rapidly. AI requires a specialized hardware and software foundation for training and learning machine learning algorithms. The new world of AI is reshaping industries and their business models. Learning AI has become important since it can perform certain tasks better than humans, especially repetitive and detail-oriented tasks that need analyzing large numbers.
Why Learn AI?
AI is pervasive in all fields, from healthcare to finance and industries from manufacturing to entertainment. In today’s rapidly evolving world, there is a need for continuous learning. There might need to be more than the traditional skills considered sufficient in old times for today’s world of AI.
Learning AI will teach you the importance of learning new technologies and acquiring digital literacy. It also emphasizes critical thinking, creativity, and problem-solving abilities.
Also, AI has opened numerous career paths like Data Scientist, ML engineer, Research Scientist, etc.
Path to AI
The time to be taken to learn AI will depend on the route you are taking. If you check out the courses offered online, you will find a variety of choices. The time of these courses varies from 1 month to 2 years. Some courses can also be customized per your preference and availability.
You can select from Bachelor’s degree, Master’s Degree, or Basic certification in these AI courses.
Courses for beginners(non-technical professionals) and business leaders:
Nowadays, the usage of AI is wider than just technical professionals. AI-driven analytics are now used for decision-making by HR and business managers.
Adopting AI will help you streamline your operations and provide a competitive advantage. AI-powered analytics can assess and mitigate risks in real-time. Business leaders, especially in finance, insurance, and IT.
If you are a beginner or a business leader, you can select an artificial intelligence course online like AI in Digital Marketing, AI Foundation, AI Product, etc. In these courses, the basics of AI will be taught along with the tools of AI.
Courses for technical roles:
Suppose you are a technical expert or want to learn deeper aspects of AI. In that case, you can pursue courses for Machine Learning with Python Specialization or a Masters Program or Masters Degree in Data Analytics, Machine Learning, or Artificial Intelligence.
AI tools/Courses for data analytics
You can pursue your courses in the following tools to learn more about AI:
- Tableau: It is a powerful data visualization tool useful in machine learning and AI. You can use them to get various insights into a certain dataset. It also helps you create interactive dashboards, making data analysis more interesting.
- Power BI: Power BI from Microsoft is a business analytics tool that uses AI to get valuable insights from a dataset. It also generates interactive reports and offers data modelling and real-time analytics for users to make data-driven decisions.
- Python: Python is considered a general-purpose programming language, so you can utilize it across all technologies and domains. It has many pre-built libraries like Numpy for scientific calculations, Pandas for extensive data analysis, Pybrain for Machine Learning (Python Machine Learning), Scipy for advanced computing, etc.
- Google Analytics: A web analytics tool that uses AI to provide detailed insights. It also helps businesses to understand their audiences by analyzing user behaviour.
- IBM Watson Analytics is an AI-powered data analytics platform designed for different levels of technical users. It also simplifies data exploration, predictive analysis, business reporting, etc.
AI Specialization courses that you can pursue
Below listed are the top AI specialization courses that you can pursue:
- Machine Learning is a branch of AI and computer science that helps machines learn from data and algorithms, thus performing tasks without explicit instructions. You can also pursue an Artificial Intelligence online & Machine Learning course to gain deeper expertise.
- Deep Learning.AI: Deep learning is a subset of Machine Learning (ML), which drives many AI applications and services to improve automation and perform analytical and physical tasks without human intervention. This technology works behind everyday products and services like voice-enabled TVs, digital assistants, self-driving cars, etc.
Learning Plan for AI
Here’s a complete breakdown of the learning plan for AI:
- Basics of mathematics, statistics, programming and data manipulation: Mathematics and statistics will help you build strong foundations. In programming, you can learn the use of Python, starting from basic concepts to advanced ones. Python libraries like Numpy and Pandas will be useful for data manipulation.
- Dive deeper into AI and ML: As described earlier, you can start from the basics of AI from the online courses. After that, you can start with ML algorithms like supervised, unsupervised, and semi-supervised.
- Specialisation and advanced topics: This will include learning Deep learning MLOps basics (teaches about applying DevOps principles to ML systems). After this, you can specialize in any area based on your interests.
- Keep Learning and Exploring: If you regularly follow AI blogs, podcasts, and journals, you will stay updated with its latest news. Also, ethics should be considered while learning about AI.
- Completing Projects/ Assignments: After your theoretical study is over, you can start taking part in completing assignments based on case studies. You can use tools like Excel, Jupyter Notebook, Tableau, and SQL to complete them.
In the online courses, you will benefit from 1:1 mentorship guidance, so even if you doubt any topic, you can clear it out with an industry expert. The personalized guidance will ensure you can apply the theoretical knowledge to your practical life.
Overcoming AI-related challenges
Building trust in AI tools is an important aspect, as the users of AI must be confident in the technology’s reliability. AI should be seen as a tool to make our work easier and not as a replacement for humans.
Conclusion
Continuous learning with a generative AI course will help you secure employment and provide a pathway to professional and personal growth in the new AI world. The opportunities that AI offers are boundless. Learning AI means acquiring new skills and making more informed career choices. AI not only provides personalised solutions but also enhances our problem-solving capabilities.