|Course or Certification Name||Category||Location||Mode of learning|
|Python Certification Training for Data Science||Data Science||Noida , Delhi , Gurgaon , Chandigarh , Bangalore , Hyderabad , Chennai , Ernakulam||Online Classroom|
|The Deep Learning Masterclass: Classify Images with Keras!||Machine Learning||Online self study|
|Intro to TensorFlow for Deep Learning||Machine Learning||Online self study|
|AIWorkflow: Machine Learning, Visual Recognition and NLP||Machine Learning||Online self study|
|Deep Learning forBusiness||Machine Learning||Online self study|
|Introductionto Deep Learning||Machine Learning||Online self study|
|Cloud Development Professional Training||Cloud Computing||Noida , Delhi , Gurgaon , Chandigarh , Bangalore , Hyderabad , Chennai , Ernakulam||Online Classroom|
|SAP BI BW Training||SAP BI||Online self study|
|Post Graduate Program in Data Science and Machine Learning||Data Science||Blended Classroom|
|Financial Analysis Prodegree||Corporate Finance||Noida , Delhi , Gurgaon , Chandigarh , Bangalore , Hyderabad , Chennai , Ernakulam||Online Classroom|
|Become a Certified Financial Modeling & Valuation Analyst (FMVA)Â®||Investment Banking||Online self study|
|Mastering Leadership - Leadership Models||Leadership||Online self study|
|Deep Learningwith Tensorflow||Machine Learning||Online self study|
|IIM Kashipur Executive Certificate program in Digital Finance||Credit & Financial Risk||Noida , Delhi , Gurgaon , Chandigarh , Bangalore , Hyderabad , Chennai , Ernakulam||Online Classroom|
|UPES CCE - Certificate program in Project Management||PMP||Noida , Delhi , Gurgaon , Chandigarh , Bangalore , Hyderabad , Chennai , Ernakulam||Online Classroom|
Python has been one of the premier, flexible, and powerful open-source language that is easy to learn, easy to use, and has powerful libraries for data manipulation and analysis. For over a decade, Python has been used in scientific computing and highly quantitative domains such as finance, oil and gas, physics, and signal processing | Edureka's Python Certification Training not only focuses on fundamentals of Python, Statistics and Machine Learning but also helps one gain expertise in applied Data Science at scale using Python. The training is a step by step guide to Python and Data Science with extensive hands on. The course is packed with several activity problems and assignments and scenarios that help you gain practical experience in addressing predictive modeling problem that would either require Machine Learning using Python. Starting from basics of Statistics such as mean, median and mode to exploring features such as Data Analysis, Regression, Classification, Clustering, Naive Bayes, Cross Validation, Label Encoding, Random Forests, Decision Trees and Support Vector Machines with a supporting example and exercise help you get into the weeds | Furthermore, you will be taught of Reinforcement Learning which in turn is an important aspect of Artificial Intelligence. You will be able to train your machine based on real-life scenarios using Machine Learning Algorithms | EdurekaÃ¢Â€Â™s Python course will also cover both basic and advanced concepts of Python like writing Python scripts, sequence and file operations in Python. You will use libraries like pandas, numpy, matplotlib, scikit, and master the concepts like Python machine learning, scripts, and sequence.
The Deep Learning Masterclass: Classify Images with Keras is an interactive course that is designed to help a beginner turn into a data modeler. The course starts with basic concepts of Keras and goes to the advanced concepts of machine learning and neural networks. The participants will also get to build their image classifier model from scratch.
Learn how to build deep learning applications with TensorFlow. This course was developed by the TensorFlow team and Udacity as a practical approach to deep learning for software developers. You'll get hands-on experience building your own state-of-the-art image classifiers and other deep learning models. You'll also use your TensorFlow models in the real world on mobile devices, in the cloud, and in browsers. Finally, you'll use advanced techniques and algorithms to work with large datasets. By the end of this course, you'll have all the skills necessary to start creating your own AI applications.
This is the fourth course in the IBM AI Enterprise Workflow Certification specialization. You are STRONGLY encouraged to complete these courses in order as they are not individual independent courses, but part of a workflow where each course builds on the previous ones | Course 4 covers the next stage of the workflow, setting up models and their associated data pipelines for a hypothetical streaming media company. The first topic covers the complex topic of evaluation metrics, where you will learn best practices for a number of different metrics including regression metrics, classification metrics, and multi-class metrics, which you will use to select the best model for your business challenge. The next topics cover best practices for different types of models including linear models, tree-based models, and neural networks. Out-of-the-box Watson models for natural language understanding and visual recognition will be used. There will be case studies focusing on natural language processing and on image analysis to provide realistic context for the model pipelines.
Your smartphone, smartwatch, and automobile (if it is a newer model) have AI (Artificial Intelligence) inside serving you every day. In the near future, more advanced â€œself-learningâ€ capable DL (Deep Learning) and ML (Machine Learning) technology will be used in almost every aspect of your business and industry. So now is the right time to learn what DL and ML is and how to use it in advantage of your company. This course has three parts, where the first part focuses on DL and ML technology based future business strategy including details on new state-of-the-art products/services and open source DL software, which are the future enablers. The second part focuses on the core technologies of DL and ML systems, which include NN (Neural Network), CNN (Convolutional NN), and RNN (Recurrent NN) systems. The third part focuses on four TensorFlow Playground projects, where experience on designing DL NNs can be gained using an easy and fun yet very powerful application called the TensorFlow Playground. This course was designed to help you build business strategies and enable you to conduct technical planning on new DL and ML services and products.
The goal of this course is to give learners basic understanding of modern neural networks and their applications in computer vision and natural language understanding. The course starts with a recap of linear models and discussion of stochastic optimization methods that are crucial for training deep neural networks. Learners will study all popular building blocks of neural networks including fully connected layers, convolutional and recurrent layers | Learners will use these building blocks to define complex modern architectures in TensorFlow and Keras frameworks. In the course project learner will implement deep neural network for the task of image captioning which solves the problem of giving a text description for an input image.
Cloud Development Professional is a 360Â° Training Program offered to professionals who want to deepen their knowledge and expertise in the field of AWS Cloud Computing. This program is updated regularly to comply with the latest industry standards, and is created and delivered by certified expert practitioners, with a passion for their craft. | This course is targeted towards professionals who desire to learn concepts and integrate skills relating to cloud computing and AWS into their work.
SAP BI/BW training is a descriptive course on Business Intelligence and Data Warehousing. This course includes Sap Architecture, Application of SAP, SAP BW 7.3, SAP BW Works Model description, End-to-end Data Warehousing, SAP BW Modeling, Data Extraction from Flat File to SAP BW (DS) PSA, data sources ZDS_EMP and ZDC_D. It further covers SAP BW Data Schema, Info Providers, Functionality of Data Store Object (DSO), Info Cube, Lo-Cockpit description, CO-PA Extractor, BEX Query, Restrictions and Exceptions and BEX Analyzer.
Designed to give students a comprehensive analytics education with a combination of online and in-person sessions, projects and seminars by industry leaders and hands-on learning in the Jigsaw Lab, PGPDM has already made a significant impact, being ranked #2 in the Ã¢Â€Â˜Top 10 Executive Data Sciences Courses in IndiaÃ¢Â€Â™ by Analytics India Magazine for 2017 & 2018. | Comprehensive data science and machine learning education
The Financial Analysis Prodegree, in association with EY as the Knowledge Provider, is a 180-hour skill-building course covering accounting, financial modelling, valuation and equity research. Through a rigorous project-based methodology, participants acquire a powerful toolkit that will help them build careers across a wide variety of roles in investment banking, corporate finance and private equity.
CFIâ€™s Financial Modeling & Valuation Analyst Certification was created for ambitious financial analysts, who want to close the skill gap between formal education and becoming a world-class financial analyst â€” one whoâ€™s competent, confident, and poised to advance. | From financial modeling and business valuation to Excel mastery - the FMVAÂ® Certification Program teaches you the skills that will help you stand out as a world-class financial analyst - without spending years in a classroom, and without spending thousands of dollars.
You want to be a great leader, but how do leaders handle critical incidents? What are models of leadership there? How can I use leadership models? If you would like these questions answered, then this course is for you. This course will teach learners to find their voice as leaders and to use various models of leadership to enhance this. Whether you already work in management, or if you hope to, this course will help you become an expert leader.
Traditional neural networks rely on shallow nets, composed of one input, one hidden layer and one output layer. Deep-learning networks are distinguished from these ordinary neural networks having more hidden layers, or so-called more depth. These kind of nets are capable of discovering hidden structures withinunlabeled and unstructured data (i.e. images, sound, and text), which consitutes the vast majority of data in the world | TensorFlow is one of the best libraries to implement deep learning. TensorFlow is a software library for numerical computation of mathematical expressional, using data flow graphs. Nodes in the graph represent mathematical operations, while the edges represent the multidimensional data arrays (tensors) that flow between them. It was created by Google and tailored for Machine Learning. In fact, it is being widely used to develop solutions with Deep Learning.
Emerging digital technologies are redefining finance by expanding customersâ€™ access and the reach of providers, lowering the cost of providing financial services and enabling new business models based on expanded services to customers and potential new revenue streams to providers. Digital finance is fundamentally about saving, depositing and transferring money, accessing credit and insurance, and performing transactions via digital channelsâ€”online banking, mobile phones, cards, computers, tablets, and so on. (US Agency for International Development (USAID). Against this backdrop, this program covers the entire spectrum of digital finance i.e. business model, product design, strategic risk planning, regulations, policy, technology and fraud management pertaining and relevant to digital finance.
The program is aligned to PMBOK 6th Edition and beyond, it gives students an opportunity to learn about project management issues and skills within a business context. The students get an opportunity to learn about project planning, management, and financial control, project procurement and solicitation, assessing and mitigating risk, and advanced project management skills. The curriculum is designed in accordance to standards set by the leading industry platforms and bodies. Adding a project management certification to your list of credentials is a great way to benchmark your skills for potential employers and show that you have the know-how to plan, schedule, budget, execute, deliver and report on various initiatives. Employers are seeking specific skills to deliver what the businesses need to compete and 40% of them will hire Project Managers in the next 12 months to keep pace with the increasing projects.