I am really happy to answer this question. The study of AI has been the biggest hype of the 21st century. The opportunities in this field are impressively booming. Hence, heading towards an AI career is a good decision. But, do you know that lots of AI talents are still struggling to get a job? At the same time, most of the business domains are also suffering from massive expert AI skills. Why such a contradictory situation!!
The reason is wrongly acquired AI skill overflow. Yet, almost everyone is pursuing sundry data science and artificial intelligence courses, but very few of them are on the right track. The massive shortfall that presently exists in domain-oriented AI skills.
Before answering the question in detail, let us understand what exactly AI is? This will help you to construct the right learning path as a beginner.
What truly is artificial intelligence (AI)?
iIntelligent retrieval aka AI is a machine's ability to perform cognitive functions as humans do, such as perceiving, learning, reasoning, and solving problems. The benchmark for AI is the human level concerning teams of reasoning, speech, and vision.
The application of Artificial Intelligence or AI is growing exponentially. Artificial Intelligence will revolutionise the economy of the world. In addition, AI jobs are highly sought-after. The process of acquiring a degree in AI isn't easy and requires perseverance and determination.
If you're a beginner, You may be confused at first about what to do to begin your journey into AI. If you're looking to learn how to better commiserate with AI development, don’t think much: ‘Google’. There is a myriad of free articles, resources, and online courses that you can use to begin to learn about the fast-expanding field of AI development. These resources give a novice programmer a simple, low-risk approach to getting involved in AI to determine whether it's something you'd like to investigate.
But keep in mind. These free resources, as well as the self-paced learning though are good for the preparatory stage only. In the case of a targeted career plan avoiding investing in a professional, the institutional course might draw severe career risk.
As a beginner in artificial intelligence, the following are the prerequisites to learn Artificial Intelligence:
- Sound knowledge of Mathematics.
- Good command over programming languages.
- Good Analytical Skills.
- Ability to understand complex algorithms.
- Basic knowledge of statistics and modelling.
Now, what will be your starting point- applied mathematics or the programming language? This decision is completely upon you. There is no such historically proven way to start programming or statistics (applied math). Below is the way that I followed.
1. Understand The Math Behind artificial wisdom
About 80% of aspirants hold a misapprehension that programming and coding are the cornerstones of AI project success. But it’s nothing but a myth. It’s the statistics that powers up AI projects’ outcomes. To write and deploy complex algorithms, you need to understand the math magic behind them.
Below is the key to the statistical room associated with AI.
- Linear Algebra
- Matrix and determinants
- Permutation and combination
- Differential and integral calculus
- Equations of curve and lines (coordinate geometry)
- Correlation calculus
- Probability functions
2. Brush Up On Python
AI is growing rapidly, and those who can use AI will stand out from their peers. Python is the preferred programming language of choice because it is simple to comprehend and write in, comes with a variety of libraries, and boasts large user communities. Python is able to support advanced machine learning as well as deep learning applications of popular frameworks such as TensorFlow.
3. Build a Strong Foundation, First
What I mean is apart from the programming and statistical skills, be strong in soft skills too. To become an AI expert, you need to be a ninja of abstract thinking, communication, and convincing skills. Above all, you need an eye for detail and a sixth sense of right and wrong for filtering data. In the world, you need to achieve the passion for becoming an AI expert.
4. Start with simple AI algorithms projects
One of the main success aspects of learning AI is developing an understanding of the way AI systems function. One method to build this sense of intuition is to build things. Take, for instance, something that is interesting to you and requires an easy AI algorithm. Then, you can develop the algorithm by starting from scratch. There may be some learning curves; however, you'll gain a lot of knowledge in the process, and the benefits over time are important.
The reason for this is because using an online AI program will help you learn better and assist you in learning the basics earlier in a shorter amount of time. Additionally, many of these online learning platforms will provide you with certificates that enhance your profile and your abilities.
Now let’s come to the ultimate step of learning AI from the perspective of super growing career building. What you need to do is enrol for the best-fit instructor-led course.
With a wealth of information available online, narrowing down the best ones is certainly challenging. Online learning platforms such as Edureak, Learnbay, and UpGrad are popular.
When it comes to the 'best-fit’, and you have 1+ years of experience, then I would recommend Learnbay.
Learnbay provides IBM Certified Data science, Artificial Intelligence, Machine Learning courses. Their courses are suitable for working professionals and non-programmers too. Their available courses are-
- Data Science and Artificial Intelligence Certification Program With Domain Specialisation- For those who have at least one year of experience working in any field: 65k INR
- Advanced Artificial Intelligence and Machine Learning course- For those with more than four years of experience and prior experience with programming, such as C, Java, C, C++, Java: 79k INR
- Certification in Data Science and AI for heads and Executives- For those with more than eight years of experience and either holding or targeting leadership positions in any domain: 79k INR
But why such a recommendation?
Just remember, at the initiation, I mentioned the AI domain of every single sector suffering from domain-elective skill shortage. As an experienced candidate to secure a job in the AI field, you need such training that assists you to apply your existing skills in collaboration with newly earned AI skills. I found, only Learnbay provides adequate domain-specific training on AI, ML and deep learning. Below are the comprehensive reasons for my recommendation.
- Perfectly designed course modules: They provide the best curriculum course structure with-
- Computer vision
- Neural Network
- Time series
- SQL AND NoSQL
- Big data
The courses are perfectly balanced in conceptual and practical studies. Along with 200+ live sessions, you also get 100+ coding assignments throughout the course. All of the assignments are regularly updated and are industry-grade.
- The courses are made-to-order with elective modules:
The projects in this course cater to various domains such as sales, marketing, and HR, retail e-commerce, and supply chain, healthcare pharma and clinical research, banking, finance, and insurance, manufacturing mechanical and telecommunications, media hotel and transportation, and energy oil and gas. Lining with your expertise, you can choose anyone from these. The elective modules will teach you the application of AI in your domain associated with concepts and theories from the basis.
- Special assistance to those who are not core programmers:
Although it can be learned, to get an AI job in any product-based MNC, you need to be a programming ninja. With the free of cost add-on special programming class, Learnbay helps you to achieve the ninja level of Artificial intelligence associated programming.
- The ultimate learning outcomes are associated with the level of hands-on learning:
Through 12+ Livestream industrial projects (MNC projects), you learn the most trending and tricky practices of handling ML models, Data analytics best practices (Industry-specific). Likewise, each course offers unique capstone AI and data science projects that you complete at your own effort and idea but under an extensive degree of industrial expert guidance.
- Highly bespoken learning support:
As a beginner, what you need the most is personalised learning guidance. Via maintenance of small size batches, 1 to 1 discussion sessions, and completely live and interactive classes, Learnbay offers the best ever learning support to the beginner. Keeping your professional time boundness in your mind, the data science courses of Learnbay provide 3 years Flexi subscription for changing learning schedules, batches, and even tutors several times.
- Committed placement assistance:
You get job assistance with resume sessions, Mock interviews, and job referrals to land your dream AI job. The services remain unconditionally active until your job offer letter arrives.
In case you don't have any work experience, and the Learnbay course seems too much experienced based to you, you can opt for Eureka ML and AI courses where you get:
- More generalised AI training on concepts and tools.
- The flexibility of self-pieces learning through recorded video classes.
- Graded assignments.
But yes, you need to compromise a bit in terms of projects and placement assistance.
I hope this answer will help. Thank you for your time reading.