Applied AI Course vs AI Engineering – Which Is The Right Course For You?
Artificial intelligence is a vast area with several specialisations and subcategories. Applied artificial intelligence and Artificial Intelligence Engineering are two of popular AI subsets. Though people use them interchangeably, the two specialisations differ greatly in terms of what they entail and the kind of job opportunities they offer. Applied AI is geared towards people interested in building their own machine learning and neural networks-based AI applications. Applied AI focuses on solving business problems by performing exploratory analysis, predictive modelling using machine learning & deep learning. Skills in Applied AI enable you to analyse data, build predictive models for decision making and do strategy building for businesses. On the other hand, Artificial Intelligence engineering is all about applying machine learning and deep learning techniques such as natural language processing and neural networks to devise AI-based solutions. For those interested in jumping on the AI bandwagon, AnalytixLabs offers two comprehensive program in collaboration with IBM-Full Stack Applied AI Course and Artificial Intelligence Engineering Course. Applied AI Course The Applied AI course from AnalytixLabs offers a hands-on approach to the concepts of Data Science, Machine Learning and Deep Learning. A combination of both theoretical and practical knowledge on such concepts is essential to come up with impressive business solutions. This Full Stack Applied AI course from AnalytixLabs, ranked highly among Analytics India Magazine’s top AI courses, is designed for beginners in the field of Data Science. The course covers the basics including tools such as Python and Data Science libraries, before moving on to advanced topics such as data extraction, wrangling, essential statistical concepts, supervised & unsupervised machine learning, and deep learning techniques to power various AI applications. The course is highly practical oriented. The modules include: Learning Python for performing tasks such as data importing, manipulation, preparing file for analysis, data analysis, machine learning and deep learning algorithms etc. Learning the foundations of statistics and its applications Getting acquainted with supervised and unsupervised algorithms for tasks such as regression, classification, segmentation, forecasting and text mining problems across industries & functions. Training on AI-based concepts such as computer vision, natural language processing, and recommendation systems Deploying AI projects in the cloud Hands-on projects and case studies to understand application across industries including Retail, Telecom, Banking, Insurance, Manufacturing etc. Course Highlights The students are required to complete several assignments on topics such as statistical analysis, Python, Excel, SQL and Tableau, NumPy and Pandas. Apart from the assignments, students will also be doing relevant projects such as chatbot creation, retail chain sales forecasting, Machine Language Translation, Credit Card fraud detection, among others. By the end of the course, candidates will be fluent in Large Scale Analytics on Cloud, Predictive Modelling using Neural Network, Image Processing using Deep Learning Techniques, supervised and unsupervised learning models etc. The course from AnalytixLabs prepares the students to take on several job roles such as AI/ML specialist, Analytics consultant, data scientist, data science specialist, Statistical Analyst, and others. Details: Duration: 400 hours Number of classes: 50 Fees: Rs.48,000 + taxes Learning Mode: Live/video-based Certificate: Dual Certificate by AnalytixLabs & IBM Course fit for: Candidates from Engineering, Maths, Statistics, Business Management backgrounds, looking for advanced analytics, AI, and machine learning skills. Find more here. Artificial Intelligence Engineering A good AI Engineer should have a 360 degree understanding of AI, its applications and uses. He/she should be capable of building ML and DL models as well as deploying them on cloud services. A capable AI engineer is equipped to perform end-to-end development of scalable AI-powered applications and solutions. The Artificial Intelligence Engineering course from AnalytixLabs helps you to develop all the above skills and more. With equal weightage on classroom learning and a hands-on approach, the course offers training on: Learning Python for performing tasks such as data importing, manipulation, data exploratory analysis, and other machine learning and deep learning algorithms Understanding cloud platform for data storage, computing, API’s, Data pipeline creation, model deployment, hosting the solution in the cloud etc. Solving business problems by developing various ML/DL algorithms Building GUI and applications using Python Flask framework Understanding the project life cycle of AI-powered solutions and products Business understanding across industries such as Retail, Telecom, Banking, Insurance, Manufacturing etc Course Highlights The course includes assignment work on data manipulation and analysis, Python exercises, setting up of data pipeline in Cloud etc. Candidates also get to try their hand at industry-relevant projects on topics such as computer vision, end-to-end AI solution deployment on cloud, natural language modelling, regression modelling, and implementation of artificial neural networks. By the end of the course, students would possess skills such as data blending and manipulation, large scale analytics on the cloud, supervised and unsupervised learning, image processing using DL techniques, predictive modelling with neural networks, among others. With these skills, a student would be ready to take on roles such as AI engineer, AI/ML specialist, ML engineer, and data science consultant. Details: Duration: 210 hours Number of classes: 30 Fees: Rs.35,000 + taxes Certificate: Dual Certificate by AnalytixLabs & IBM Learning Mode: Live/video-based Course fit for: IT/ ITES, Software developers, Database professionals, or engineering graduates interested in an AI/ML Engineering role.Find more here.
Artificial intelligence is a vast area with several specialisations and subcategories. Applied artificial intelligence and Artificial Intelligence Engineering are two of popular AI subsets. Though people use them interchangeably, the two specialisations differ greatly in terms of what they entail and the kind of job opportunities they offer. Applied AI is geared towards people interested […]
Applied AI and Artificial Intelligence Engineering are two popular AI subsets. The two specialisations differ greatly in what they entail & the kind of job opportunities they offer.
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I am a technology journalist with AIM. I write stories focused on the AI landscape in India and around the world with a special interest in analysing its long term impact on individuals and societies. Reach out to me at shraddha.goled@analyticsindiamag.com.