Top AI Course Projects with Highest Reviews and Testimonials


Artificial Intellegence
Spread the love

Applied Artificial Intelligence software is ruling the data science industry. Countless projects are available online with as n research papers and content guides on how to come up with the best AI projects during your Applied AI certification program. Yet, it’s always useful to mark down the top projects that have the highest number of reviews online and that can be easily verified for trustworthiness during your training in AI course. Keeping in mind the growing demand for lab-assisted projects during the courses, we are providing you a quick rundown on the top artificial intelligence and machine learning course projects that garnered the highest number of applied AI course reviews in the last 5 years.

Project 1: Alexa Programming

Reviews Ranking: 4.9 out of 5

Believe it or not, Alexa programming is a top-ranking project for AI learners and developers. With a solid ranking in terms of reviews and recommendations, Alexa Programming involves solid testing of AI skills in voice recognition, speech analysis, and NLP. To accentuate the learning with Alexa Programming, the owners of this product, Amazon even provides a free software development kit (SDK) for learners. The Amazon SDK is a great repository of links and resources on how to get started with the development of a voice bot for the new-age organizations that deliver services through phone calls and chat messengers and translation tools. Customer care agents that are looking to replace the traditional cold calling and IVRs are looking to train with Alexa Programming experts who have reasonable experience in Python and R coding in JSON format.

See also  How long should a mid-level manager resume be ?

Time of training: 2 weeks

AI-based CRM Software Programming

Reviews Ranking: 4.5 out of 5

Time of training: 6 weeks

AI and CRMs can’t be kept separated from each other anymore. Automated customer segmentation with direct integrations to website analytics, mobile CRM, and social media intelligence tools has brought CRMs to a new level in 2022. AI learners are more interested in learning about CRMs and how AI and machine learning algorithms could be deployed to simplify complex customer relationships and rationalize the marketing and sales methodologies that are used to interact with these customers.

The new tranche of customer data and experience management tools has begun to shatter the ground realities of Sales and Marketing that for so long depended on Customer Relationship Management software to drive their efforts. With AI in the reckoning, AI in CRM is a real go-getter. There are a bunch of CRM makers in the world that offer machine learning and programming frameworks to learners and developers who wish to build native applications and extensions. The growing demand for AI-based CRMs and Customer Experience Management software invariably put the onus on AI trainers to create bespoke applications that can ingest diverse customer data and return configurable analytics through reporting and real-time monitoring on self-service dashboards. If you are into Marketing and Sales, an AI course with a CRM project will earn you distinct accolades from the industry. You will be able to review and react to top applied AI reviews from users of distinguished CRMs and automation tools such as Salesforce, Oracle, Hubspot, and Zoho.

See also  Which Organizations Are Functional in EOC Configuration

Project 3: Data Visualization using Google My Maps

Reviews Ranking: 4.8 out of 5

Time of training: 12weeks

If there is one thing in AI training that requires minimal programming skills, then it has to be this cool project from data visualization. Regarded as the highest review generating applied for AI course online, Google My Maps receive over 1 million requests for downloads in a month. All you need to get started with this project is to have a Google account and kaboom! You are all set to create a new map with data. The data, of course, is what makes the project so much more interesting. There are hundreds of verifiable data sources online from which you can import the latest GIS map data for your applied AI project.

These vector data sets could be a mix of open-source map data or software-generated data from leading data science companies that can be conveniently merged with your existing Python or Excel datasheet for further evaluation. Similar projects are available for Geospatial Mapping using AI for deep-sea mining, underwater oil and gas exploration, and Drone and AI projects. From a cartography POV, you could be using different types of data with digitized contouring, NASA ASTER, and customized software-based filters for accuracy and responsiveness.


Spread the love