I have enrolled in scaler data science course recently. And after completing a couple of months studies with them here are the Pros and Cons for me: Pros: Very structured course and relevant topics. Along with really good assignments after each class. Instructors are really good. Until now I have onRead more
I have enrolled in scaler data science course recently. And after completing a couple of months studies with them here are the Pros and Cons for me:
Pros:
- Very structured course and relevant topics. Along with really good assignments after each class.
- Instructors are really good. Until now I have only interacted with Mohit Uniyal, and I think he is really good. He is very thorough and amazingly patient while answering doubts.
- Teaching Assistance support is another great resource. You can reach out to them anytime via chat or video call. So that’s very handy.
- The dashboard is laid out really well too. The options to view class recordings any time, making bookmarks, discussion, scaler support access. Very neat!
- I have heard they have good placement and career support as well. I haven’t availed or experience this yet first hand since I am only 2 months in the course now.
Cons:
- Quite expensive course for sure, but given the quality and other equally and more expensive courses in the market such as upgrad, I am not surprised.
- Features like mentors are not very helpful, as even many mentors are still figuring out their career.
- A lot of spam from scaler. OMG! like you name it, Email, Whatsapp, Slack, so much spam from scaler and other learners.
- Lack of quality network building. Eventhough scaler has the above platforms where learners can connect, it still fails to help learners network. I know it is a hard thing, but I hope scaler can come with something where learners can benefit from each other.
Fell free to each out to me on LinkedIn if you have any other questions – https://www.linkedin.com/in/-prince-jindal/
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"The artificial intelligence engineering is a new engineering profession that is completely focused on designing smart tools, devices, and systems to raise society's standard of living. With the integration of machine learning techniques,artificial intelligence engineering spans a wide range of compRead more
“The artificial intelligence engineering is a new engineering profession that is completely focused on designing smart tools, devices, and systems to raise society’s standard of living. With the integration of machine learning techniques,artificial intelligence engineering spans a wide range of computational power and enormous datasets. This training assists businesses in making sensible decisions to meet consumer needs and improve customer engagement. In an artificial intelligence engineering background it is required to successfully design, manage, and assess AI features.
See lessAI Engineers in artificial intelligence engineering are required to create, program, and train machine learning algorithms that allow Artificial Intelligence models to function similarly to human brains and bodies.
They do not need to develop professional code in numerous programming languages, but they must locate massive amounts of structured and unstructured real-time data from a variety of sources. The Artificial Intelligence development process and infrastructure of smart products and services are aided by AI Engineering. Comprehensible AI requires them to explain the entire functionality of AI models to partners, teams, and stakeholders.
The artificial intelligence engineering can also be used for health monitoring .Embedding sensors within structures to monitor stress and damage can reduce maintenance costs and increase lifespan and it can also be used in self repairing as it involves embedding thin tubes containing uncured resin into materials. When damage occurs, these tubes break, exposing the resin which fills any damage and sets. Self-repair could be important in inaccessible environments such as underwater or in space and artificial intelligence engineering is also used in the field of structural engineering.
Lastly, In my view artificial intelligence engineering is important in its own rights and plays an important role.
To elaborate my point, let me pick an example from the development of Honda’s ASIMO, a humanoid robot, a mechanical being built to mimic the basic form of human being.
In other words, designing the robot that would have a brain managed by AI and a body designed with Mechanical Engineering. Be it the choice of material or shape of any part or the smallest component like a nut in the body all are products of Mechanical Engineering and even each type of Robot’s movements would need finest application of Mechanical Engineering principles for example walking would need finer machine design principles.
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