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    Home » How do best AI trainees progress to the practical environment?
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    How do best AI trainees progress to the practical environment?

    sanketBy sanketAugust 31, 2022Updated:September 10, 2022No Comments4 Mins Read
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    Last Updated on September 10, 2022 by husnain

    There are many ways of becoming an Artificial Intelligence practitioner. However, the easiest and surest way to earn recognition in this industry is by joining the best artificial intelligence online course in India. These courses guarantee the quality of education, training apparatus, and practical training on different AI techniques. But, what it really takes to make the best out of these courses is something you will have to figure out yourself as you head into the curriculum. 

    If you think it is too much of an effort and pain to plan your AI learning journey, read this article. We have highlighted the best progression roadmap for any AI trainee to accelerate their learning path from a beginner level to a practical testing environment. 

    Day 1: Do your AI research 

    The first step to becoming a data scientist or an AI engineer is to identify the reasons why you want to be in the industry. There could be various motives and driving forces that got you here to join an AI course – and these all should amalgamate with the AI research you have done so far about the industries, techniques, subjects, markets, and applications, and your competition. 

    Day 2: Upgrade your internet and computer devices

    It is a stated fact that computer configuration decides the pace and outcome of any machine learning project. To be able to decently program and compute your ML projects, you require at least 16 GB of high speed RAM with an expandable HDD backup of up to 5 TB to accommodate all of your data and AI projects. 

    This is an extensive infrastructure, and thanks to the assistance from top AI courses in India, you might be able to utilize the IT resources of the institution to access cloud services. However, always rely on your own personal AI development infrastructure to ace the program with fruitful results.

    Day 3: Register for Python courses

    Python programming is the best AI development platform in the modern era. Data scientists just love to work with Python analysts and coders because they bring in a lot of scope for innovations around the existing AI ML projects. Once you are registered for Python, you can start aiming for the AI programs.

    Week 1: Get access to open source data and programming

    You should be able to make a list of all the data communities that offer free access to their lakes. Data is very costly and having access to free open source data lakes is a gift. Get a training session with your course to understand how these open source data and programming platforms work and the key points you should note while communicating in these environments.

    Week 2: Start Coding for 8 Hours a Day

    Once you have established yourself in the course, set aside 8 hours for hard-core problem solving and programming. This should be done in addition to the online course learning that you have enrolled for. The initial affinity to coding with AI ML programming languages would allow you to beat the fatigue and monotony that comes by once you go deep into complex big data and business analysis projects. 

    Week 2-3: Master Python libraries and Gits

    Yes, you have to be very constricted when it comes to working with Python. You have very less time to wrap your arms around Python. Thankfully, the best artificial intelligence online courses in India have a solid Python training program that actually trains students in this area matching this exact timeline. With practice and initial coding expectations that you set, you should be able to go past libraries, integration, and Gits projects in an accelerated manner.

    Week 4 and 5: Probability and Statistical Integrations

    Probability and Statistics are keys to any ML project. If you don’t have a background in scientific mathematics, you can still beat the game by mastering a tool, called Excel! Yes, many students who are weak in mathematics and statistics have turned out to be excellent data scientists by moving to native Excel and then advancing to AI ML projects with their programming skills.

    Week 6-8: Practical Lab AI development

    It’s time to showcase your skills in AI by picking your core Python based project. You can draw inspiration from the Python community to design your first basic project in less than 2 weeks. If you follow this basic timeline, you can make a solid foundation from your first day with the best Artificial intelligence online course with strong documentation and move ahead.

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