According to a Forrester Wave Report of September 2018, IBM is the second-largest Predictive Analysis and Machine Learning solutions contributor in the services industry. An academic collaboration of Simplilearn and IBM like this program, brings you one of the most comprehensive Artificial Intelligence courses throughout the country. This Artificial Intelligence Course in Columbia by Simplilearn is offered in association with IBM that ensures that students and professionals have the right skills to immediately gain job success and also be abreast with the latest and the most promising advancements in AI and related fields. With the help of this Artificial Intelligence Course in Columbia you can secure job profiles in the domains of Artificial Intelligence, Machine Learning, and Data Science, three of the fastest growing professional fields globally.
IBM is one of the leading companies offering cognitive and cloud platform services with a niche focus on technology and consultation. With its headquarters in Armonk, New York, IBM heavily invests (more than $6 billion) on cutting-edge research and technology development which has brought the company multiple international accolades in the area including, but not restricted to multiple Nobel, prizes, US National Medals and Alan Turing awards for path-breaking developments in technology. IBM has spearheaded several domains in technology and with Simplilearn, we bring you an Artificial Intelligence course that can help you attain the extraordinary and give your resume the necessary boost it requires.
What can I expect from this Simplilearn program developed in collaboration with IBM?
Once you have completed the Artificial Intelligence course in Columbia with Simplilearn, you will get a Master's certificate in Artificial Intelligence. The credentials are evidence of your expertise as an artificial intelligence expert. After you have completed the Artificial Intelligence course in Columbia, you will also receive the following benefits:
The Simplilearn-IBM co-developed Artificial Intelligence course combines AI, data science, ML, and deep learning to deploy state-of-the-art instruments and models in the real world. With this Artificial Intelligence Course in Columbia you gain the fundamental artificial intelligence principles, need to advance in the field, which cover python programming and data science fundamentals, and a practical understanding of machine learning statistics.
In this Artificial Intelligence Course in Columbia, you will learn how to use Python libraries such as NumPy, SciPy, Scikit-learning, and essential machine learning principles including artificial neural networks, data abstraction layers, and TensorFlow.
Artificial Intelligence and Machine Learning will be applied in various mainstream industries by the end of 2025. From healthcare, insurance, transport, to improving customer services, fintech startups and logistics, Artificial Intelligence will become ubiquitous, shaping the years 2025-2030 and beyond.
Therefore, securing a job profile in this domain can benefit you immensely. However, an artificial intelligence course in Columbia can help you advance your abilities while keeping you updated with any new developments in the field.
At the end of the Artificial Intelligence Course In Columbia, you will be proficient in the following:
So doing this AI Course In Columbia can be very beneficial.
Including over 15 real-life brand initiatives in various fields, this Artificial Intelligence course in Columbia is co-developed by IBM. The projects entailed in the course are intended to master critical topics such as supervised and unsupervised learning, reinforcement learning, vector support, deep learning and tensor flux, neural networks, convolution neural networks, and recurrent neural networks.
This AI course in Columbia includes a project Capstone that allows you to revisit the topics learned during the entire duration of the course. You will take special mentoring workshops to build a high-quality industrial project and solve problems in the real world. The Capstone Project covers crucial areas, from analyzing exploratory data through design and fit to evaluating stock trends for various leading companies.
In order to successfully complete this Capstone project, you will need to use today's most cutting-edge and widely-used supervised algorithms as well unmonitored algorithms used in the artificial intelligence field like Regression, Multinomial Naïve Bayes, NLP, SVM and many others. Not only will you be issued the capstone credential after successfully submitting the project, but you will also have a project that may be presented as a testimonial to your learning to prospective employers.
Project 1: Uber Fare Provision | Domain: Delivery (Commerce)
Uber, one of the biggest taxi operators in the United States, wants to make the fare forecast for each journey more accurate. Be a helping hand in designing the proper model.
Project 2: Mercedes-Benz Test Bench Time Reduction | Domain: Cars
Mercedes-Benz, a multinational automotive manufacturer, based in Germany, seeks to minimize its test time for any car. More rapid testing will shorten market hitting time. Build and optimize the algorithm via reducing dimensionality and several approaches, including XGBoost.
Project 3: Amazon product rating | Domain: e-commerce
One of today's biggest US-based businesses in the e-commerce industry, Amazon offers very accurate suggestions to customers for their requirements matched with their business type and popular reviews offered for the same category of products. Amazon wants to improve the recommendation engine by anticipating ratings for unreviewed products and adding them to suggestions.
Project 4: Walmart demand prediction | Domain: sales
Forecast exact sales for 45 Walmart shops, one of the major retail stores in the United States, considering the influence of promotional events. Check for impact on sales on macroeconomic parameters such as CPI, unemployment rate, etc.
Project 5: Customer experience improvement for Comcast | Domain: Telecommunications
One of the leading telecom companies based out of USA, Comcast is looking to take its customer experience to the next level by getting to the source of the issue and taking steps which will eliminate problem areas affecting customer satisfaction. The organization is also searching for essential recommendations to provide the most satisfactory experience for its customers.
Project 6: Analysis of attrition for IBM | Domain: Workforce Analytics
You will be required to uncover characteristics that affect employee attrition for IBM, one of the largest US-based IT businesses. The organization would like to develop a logistic regression model based on identified parameters to forecast whether an employee churns or not.
Project 7: Columbia 311 Service Request Analysis | Domain: Telecommunication Service Request Analysis
Conduct call analysis for Columbia City's 311 service request line. You will focus on the techniques of data dispute to analyze data patterns and view the primary forms of complaints.
Project 8: MobieLens Analysis data set | Domain: engineering
The Research Project GroupLens is a research group of the University of Minnesota, Department of Computer Science and Engineering. The group's researchers take part in various research projects in the fields of information filtering, collaborative filtering, and system recommendation. We ask you to analyze user datasets by deploying Exploratory Data Analysis techniques and related strategies.
Project 9: Analysis of stock data | Domain: stock market
In this project, you can import data from Yahoo, Apple, Amazon, Microsoft, Google, and other leading companies utilizing the Yahoo data reader. You will be required to conduct basic analytics, including charting, closing prices, volume trading, completing daily return analyses, and using pair tracks to indicate the correlation between stocks.
This Simplilearn-offered Artificial Intelligence Course In Columbia is a perfect program for career advancement in a variety of professions and job disciplines, particularly due to the rising demand and application of artificial intelligence across industries like:
This Artificial Intelligence Course In Columbia should be attended by participants with:
Delve into AI basics and generative AI principles. Grasp the importance of explainable AI. Employ prompt engineering to enhance generative AI performance. Understand ChatGPT's mechanisms, features, and constraints. Explore varied ChatGPT applications. Gain foresight into generative AI's future and challenges.
Discover procedural and object-oriented programming. Uncover Python's benefits. Set up Python and its IDE. Master Jupyter Notebook. Apply Python basics like identifiers, indentation, and comments. Understand data types, operators, and string functions. Explore Python loops and variable scopes. Learn about OOP, its features, and elements like methods, attributes, and access modifiers.
Kickstart your learning of Python for Data Science with this Data Scientist course and familiarize yourself with programming, tastefully crafted by IBM.
* Gain a comprehensive overview of Python's tools and techniques for data analytics
* Experience vital skill development in Python for various data science roles
* Engage in a blended learning approach covering data wrangling, mathematical computing, and more
* Explore practical applications for a hands-on understanding
* Propel your data science career with Simplilearn's specialized training
Ensure career success with this Machine Learning course. Learn this exciting branch of Artificial Intelligence with a program featuring Applied Learning, interactive labs, 4 hands-on projects, and mentoring. With our Machine Learning training, master Machine Learning concepts are required for a Machine learning certification. This Machine Learning online course will provide you with the skills needed to become a successful Machine Learning Engineer today.
Differentiate deep learning from machine learning. Explore various neural network types. Excel at forward and backward propagation in deep neural networks. Introduce modeling and performance enhancement in deep learning. Understand hyperparameter tuning and model interpretability. Learn dropout and early stopping implementation. Master CNNs, object detection, and RNN fundamentals. Grasp PyTorch basics and neural network creation.
The capstone project allows you to implement the skills you learned throughout this bootcamp. You will solve industry-specific challenges by leveraging various AI and ML techniques. The capstone project will help you showcase your expertise to employers.
Our Masters in Artificial Intelligence is exhaustive and this certificate is proof that you have taken a big leap in mastering the domain.
The knowledge and AI skills you've gained working on projects, simulations, and case studies will set you ahead of the competition.
Talk about your AI masters certificate on LinkedIn, Twitter, and Facebook, boost your resume, or frame it - tell your friends and colleagues about it.
The Artificial Intelligence course in Columbia will give you an insight into AI tools and methodologies to prepare you for success in your role as an Artificial Intelligence Engineer. The industry-recognized certification from IBM and Simplilearn will attest to your new skills and on-the-job expertise. The AI certification program will train you on Python, Machine Learning techniques, including data reprocessing, regression, clustering, and Deep Learning methodologies and their applications using TensorFlow.
As a part of this AI certification training in Columbia in collaboration with IBM, you will receive the following:
The average annual salary of candidates with artificial intelligence training courses Columbia is COL$90m. The replication of human intellectual functions by machines, particularly computer systems, is known as artificial intelligence. Computer algorithms, natural language processing, voice recognition, and object detection are some of the specific uses of AI.
Colombia is the place of residence to five main industrial hubs: Bogota, Medellin, Cali, Barranquilla, and Bucaramanga. Mining, hydrocarbons, textiles and apparel, agriculture, drinks, chemicals and petrochemicals, concrete, architecture, iron and steel products, and metallurgy are among Colombia's industries. Tourism and information technology exports are also thriving in the service sector. As a result, artificial intelligence training courses Columbia are significant in their own right.
Artificial intelligence engineers are in charge of creating, programming, and training the network structure of algorithms that comprise AI so that they might function similarly to the neural network. This position necessitates a combination of skills in software development, coding, data science, and data engineering.
Colombia is Latin America's third most populated country, after only Brazil and Mexico. The 9 eastern lowland districts, which cover approximately 54 per cent of Colo mbia's geographical area, are sparsely inhabited.
Colombia has a free market economy with significant commercial and investment connections with the United States. Colombia's economic development during the previous decade may be ascribed to improved security, which has resulted in more foreign direct investment; market reforms in the oil and gas industries; and cautious monetary policy. In mid-2011, investment as a proportion of GDP was approximately 28 %, which was greater than both Brazil and Chile.
Colombia is among the most diverse and picturesque locations in South America. Colombia actually offers it everything, from beaches to mountains to wetlands around the Amazon River. Travellers considering the ultimate vacation to Colombia will need to go outside the cities and see the country's national parks, historic sites, and fascinating history. Some of the attractions are: