Description : Revitalize your career with must-have AI skills in one of technology's fastest-growing fields. This comprehensive program, designed for business professionals and aspiring technologists, teaches you how to leverage AWS AI services to enhance productivity and drive innovation—no deep technical background required. Through three courses, you'll progress from AI fundamentals to creating real applications on AWS. Starting with core concepts and ethical considerations, you'll advance to implementing AI solutions and developing innovative applications that can revolutionize business processes. What makes this program unique: Learn directly from AWS experts who guide you through real-world scenarios Gain hands-on experience with cutting-edge tools like Amazon Bedrock, PartyRock, and Amazon Q Practice prompt engineering and learn to build AI-powered applications Key skills you'll develop: AI fundamentals and responsible AI implementation Effective prompt engineering techniques AWS AI services implementation and architecture Application development using AWS AI tools This program is ideal for: Business and technology professionals seeking to enhance productivity with AI Career changers interested in technology roles Entrepreneurs wanting to integrate AI into their ventures Join numerous professionals who have already started their AI journey with AWS training, and position yourself at the forefront of this transformative technology.

Description : Revitalize your career with must-have AI skills in one of technology's fastest-growing fields. This comprehensive program, designed for business professionals and aspiring technologists, teaches you how to leverage AWS AI services to enhance productivity and drive innovation—no deep technical background required. Through three courses, you'll progress from AI fundamentals to creating real applications on AWS. Starting with core concepts and ethical considerations, you'll advance to implementing AI solutions and developing innovative applications that can revolutionize business processes. What makes this program unique: Learn directly from AWS experts who guide you through real-world scenarios Gain hands-on experience with cutting-edge tools like Amazon Bedrock, PartyRock, and Amazon Q Practice prompt engineering and learn to build AI-powered applications Key skills you'll develop: AI fundamentals and responsible AI implementation Effective prompt engineering techniques AWS AI services implementation and architecture Application development using AWS AI tools This program is ideal for: Business and technology professionals seeking to enhance productivity with AI Career changers interested in technology roles Entrepreneurs wanting to integrate AI into their ventures Join numerous professionals who have already started their AI journey with AWS training, and position yourself at the forefront of this transformative technology.

Description : Start on a journey into the world of generative AI with this AWS Professional Certificate program. Designed for software developers and DevOps engineers, this program will arm you with the skills to use AWS' generative AI services, particularly Amazon Bedrock, to create generative AI applications. Throughout this program, you'll gain hands-on experience with language models and foundation models, learning how to use them for text generation, language understanding, and summarization tasks. You'll learn Amazon Bedrock, exploring its powerful features including Knowledge Bases, Agents, and Guardrails. The course outline takes you from fundamental concepts to advanced implementation strategies. You'll start by understanding the basics of generative AI and how to access foundation models through Amazon Bedrock. As you continue, you'll learn to create AI-driven agents for task automation, implement knowledge bases for information retrieval, and optimize AI model performance through techniques like fine-tuning and prompt engineering. A big focus of this program is practical application. You'll work on projects that simulate enterprise-level challenges, learning to integrate AI capabilities into existing software architectures. You'll also explore Amazon Q Developer, gaining insights into how generative AI can enhance your development workflow. By the end of this Professional Certificate, you'll be ready to design, develop, and deploy generative AI solutions on AWS.

Description : Start on a journey into the world of generative AI with this AWS Professional Certificate program. Designed for software developers and DevOps engineers, this program will arm you with the skills to use AWS' generative AI services, particularly Amazon Bedrock, to create generative AI applications. Throughout this program, you'll gain hands-on experience with language models and foundation models, learning how to use them for text generation, language understanding, and summarization tasks. You'll learn Amazon Bedrock, exploring its powerful features including Knowledge Bases, Agents, and Guardrails. The course outline takes you from fundamental concepts to advanced implementation strategies. You'll start by understanding the basics of generative AI and how to access foundation models through Amazon Bedrock. As you continue, you'll learn to create AI-driven agents for task automation, implement knowledge bases for information retrieval, and optimize AI model performance through techniques like fine-tuning and prompt engineering. A big focus of this program is practical application. You'll work on projects that simulate enterprise-level challenges, learning to integrate AI capabilities into existing software architectures. You'll also explore Amazon Q Developer, gaining insights into how generative AI can enhance your development workflow. By the end of this Professional Certificate, you'll be ready to design, develop, and deploy generative AI solutions on AWS.

Description : As Artificial intelligence (AI) and generative AI revolutionize our world, the demand for AI Software Developers with the right cutting-edge skills is soaring. This IBM AI Developer Professional Certificate will equip you with sought-after expertize in building AI-powered chatbots and apps and enable you to launch your AI career in just 6 months. No prior AI or programming experience required. AI Developers are prized software engineers who design, develop, and implement AI and genAI powered apps And virtual assistants. They specialize in applying their programming expertize and integrating pre-built AI models and APIs to create intelligent software and solutions. During this self-paced Professional Certificate program, you’ll master the fundamentals of software engineering, AI, generative AI, prompt engineering, HTML, JavaScript and Python programming. And through hands-on labs and projects, you’ll gain practical experience in building AI apps you can talk about in interviews. Once you’ve successfully completed the program, you’ll have a Professional Certificate from Coursera and a digital badge from IBM that showcase your AI proficiency. And you’ll have access to career assistance, job search, and interview preparation resources. Enroll in this IBM AI Developer Professional Certificate today and transform your career opportunities in just 6 months.

Description : As Artificial intelligence (AI) and generative AI revolutionize our world, the demand for AI Software Developers with the right cutting-edge skills is soaring. This IBM AI Developer Professional Certificate will equip you with sought-after expertize in building AI-powered chatbots and apps and enable you to launch your AI career in just 6 months. No prior AI or programming experience required. AI Developers are prized software engineers who design, develop, and implement AI and genAI powered apps And virtual assistants. They specialize in applying their programming expertize and integrating pre-built AI models and APIs to create intelligent software and solutions. During this self-paced Professional Certificate program, you’ll master the fundamentals of software engineering, AI, generative AI, prompt engineering, HTML, JavaScript and Python programming. And through hands-on labs and projects, you’ll gain practical experience in building AI apps you can talk about in interviews. Once you’ve successfully completed the program, you’ll have a Professional Certificate from Coursera and a digital badge from IBM that showcase your AI proficiency. And you’ll have access to career assistance, job search, and interview preparation resources. Enroll in this IBM AI Developer Professional Certificate today and transform your career opportunities in just 6 months.

Description : Prepare for a career in the rapidly expanding field of computer vision. The ability to extract meaningful information from visual data is crucial for efficiently developing smart monitoring systems, enhancing medical diagnostics, and powering the next generation of autonomous vehicles. This program is designed to transform those with little or no prior image data experience into proficient computer vision practitioners by completing several hands-on projects with real-world applications. By the end of the program, you will have the skills necessary to automate image processing tasks, detect and track motion, train deep learning models for image classification and object detection tasks, and implement advanced deep learning techniques like data augmentation and AI-assisted annotation. Possessing these skills will prepare you to keep pace with modern systems, which increasingly incorporate cameras into their designs. Throughout the program, you will use MATLAB, an industry-standard platform known for its user-friendly interface and robust functions that simplify complex algorithms. The intuitive apps and functions mean that you don't need to be a programmer or math expert to achieve success. You will leverage MATLAB capabilities to rapidly prototype and iterate on solutions, giving you a competitive edge in the job market and the confidence to push the boundaries of what's possible in computer vision and deep learning.

Description : Prepare for a career in the rapidly expanding field of computer vision. The ability to extract meaningful information from visual data is crucial for efficiently developing smart monitoring systems, enhancing medical diagnostics, and powering the next generation of autonomous vehicles. This program is designed to transform those with little or no prior image data experience into proficient computer vision practitioners by completing several hands-on projects with real-world applications. By the end of the program, you will have the skills necessary to automate image processing tasks, detect and track motion, train deep learning models for image classification and object detection tasks, and implement advanced deep learning techniques like data augmentation and AI-assisted annotation. Possessing these skills will prepare you to keep pace with modern systems, which increasingly incorporate cameras into their designs. Throughout the program, you will use MATLAB, an industry-standard platform known for its user-friendly interface and robust functions that simplify complex algorithms. The intuitive apps and functions mean that you don't need to be a programmer or math expert to achieve success. You will leverage MATLAB capabilities to rapidly prototype and iterate on solutions, giving you a competitive edge in the job market and the confidence to push the boundaries of what's possible in computer vision and deep learning.

Description : The global deep learning market is set to grow 23% annually to 2030 (Grand View Research). This IBM Deep Learning with PyTorch, Keras and TensorFlow Professional Certificate builds the job-ready skills and practical experience AI techies need to catch the eye of employers. Deep learning is a branch of machine learning powering the generative AI revolution. It uses multilayered neural networks, called deep neural networks, to simulate the complex decision-making power of the human brain. During the program, you’ll learn to build, train, and deploy deep learning models. You’ll master fundamental concepts of machine learning and deep learning, including supervisedlearning, using Python. You’ll learn to develop transformer models for sequential data and time series predictions and apply unsupervised learning and reinforcement learning. Plus, you’ll apply popular libraries such as Keras, PyTorch, and TensorFlow to industry problems using object recognition,image and natural language processing. You’ll also gain valuable hands-on experience in labs and projects using PyTorch with deep learning models, creating custom layers and models using Keras, integrating Keras with TensorFlow 2, and developing advanced convolutional neural networks (CNNs). If you’re looking to take the next step in your AI or data science career, this IBM Professional Certificate will give you job-ready skills and practical experience employers are looking for, so ENROLL TODAY!

Description : The global deep learning market is set to grow 23% annually to 2030 (Grand View Research). This IBM Deep Learning with PyTorch, Keras and TensorFlow Professional Certificate builds the job-ready skills and practical experience AI techies need to catch the eye of employers. Deep learning is a branch of machine learning powering the generative AI revolution. It uses multilayered neural networks, called deep neural networks, to simulate the complex decision-making power of the human brain. During the program, you’ll learn to build, train, and deploy deep learning models. You’ll master fundamental concepts of machine learning and deep learning, including supervisedlearning, using Python. You’ll learn to develop transformer models for sequential data and time series predictions and apply unsupervised learning and reinforcement learning. Plus, you’ll apply popular libraries such as Keras, PyTorch, and TensorFlow to industry problems using object recognition,image and natural language processing. You’ll also gain valuable hands-on experience in labs and projects using PyTorch with deep learning models, creating custom layers and models using Keras, integrating Keras with TensorFlow 2, and developing advanced convolutional neural networks (CNNs). If you’re looking to take the next step in your AI or data science career, this IBM Professional Certificate will give you job-ready skills and practical experience employers are looking for, so ENROLL TODAY!

Description : AI is expected to grow 36.6% by 2030 (Forbes). This IBM AI Engineering Professional Certificate is ideal for data scientists, machine learning engineers, software engineers, and other technical specialists looking to get job-ready as an AI engineer. During this program, you’ll learn to build, train, and deploy different types of deep architectures, including convolutional neural networks, recurrent networks, autoencoders,and generative AI models including large language models (LLMs). You’ll master fundamental concepts of machine learning and deep learning, including supervised and unsupervised learning, using Python. You’ll apply popular libraries such as SciPy, ScikitLearn, Keras, PyTorch, and TensorFlow to industry problems using object recognition, computer vision, image and video processing, text analytics, natural language processing (NLP), and recommender systems. Build Generative AI applications using LLMs and RAG with frameworks like Hugging Face and LangChain. You’ll work on labs and projects that will give you practical working knowledge of deep learning frameworks. If you’re looking to build job-ready skills and practical experience employers are looking for, ENROLL TODAY and build a resume and portfolio that stand out!

Description : AI is expected to grow 36.6% by 2030 (Forbes). This IBM AI Engineering Professional Certificate is ideal for data scientists, machine learning engineers, software engineers, and other technical specialists looking to get job-ready as an AI engineer. During this program, you’ll learn to build, train, and deploy different types of deep architectures, including convolutional neural networks, recurrent networks, autoencoders,and generative AI models including large language models (LLMs). You’ll master fundamental concepts of machine learning and deep learning, including supervised and unsupervised learning, using Python. You’ll apply popular libraries such as SciPy, ScikitLearn, Keras, PyTorch, and TensorFlow to industry problems using object recognition, computer vision, image and video processing, text analytics, natural language processing (NLP), and recommender systems. Build Generative AI applications using LLMs and RAG with frameworks like Hugging Face and LangChain. You’ll work on labs and projects that will give you practical working knowledge of deep learning frameworks. If you’re looking to build job-ready skills and practical experience employers are looking for, ENROLL TODAY and build a resume and portfolio that stand out!

Description : This IBM course will equip you with the skills to implement, train, and evaluate generative AI models for natural language processing (NLP) using PyTorch. You will explore core NLP tasks, such as document classification, language modeling, and language translation, and gain a foundation in building small and large language models. You will learn how to convert words into features using one-hot encoding, bag-of-words, embeddings, and embedding bags, as well as how Word2Vec models represent semantic relationships in text. The course covers training and optimizing neural networks for document categorization, developing statistical and neural N-Gram models, and building sequence-to-sequence models using encoder–decoder architectures. You will also learn to evaluate generated text using metrics such as BLEU. The hands-on labs provide practical experience with tasks such as classifying documents using PyTorch, generating text with language models, and integrating pretrained embeddings like Word2Vec. You will also implement sequence-to-sequence models to perform tasks such as language translation. Enroll today to build in-demand NLP skills and start creating intelligent language applications with PyTorch.

Description : This IBM course will equip you with the skills to implement, train, and evaluate generative AI models for natural language processing (NLP) using PyTorch. You will explore core NLP tasks, such as document classification, language modeling, and language translation, and gain a foundation in building small and large language models. You will learn how to convert words into features using one-hot encoding, bag-of-words, embeddings, and embedding bags, as well as how Word2Vec models represent semantic relationships in text. The course covers training and optimizing neural networks for document categorization, developing statistical and neural N-Gram models, and building sequence-to-sequence models using encoder–decoder architectures. You will also learn to evaluate generated text using metrics such as BLEU. The hands-on labs provide practical experience with tasks such as classifying documents using PyTorch, generating text with language models, and integrating pretrained embeddings like Word2Vec. You will also implement sequence-to-sequence models to perform tasks such as language translation. Enroll today to build in-demand NLP skills and start creating intelligent language applications with PyTorch.

Description : The Certified Artificial Intelligence Practitioner™ (CAIP) specialization prepares learners to earn an industry validated certification which will differentiate themselves from other job candidates and demonstrate proficiency in the concepts of Artificial intelligence (AI) and machine learning (ML) found in CAIP. AI and ML have become an essential part of the toolset for many organizations. When used effectively, these tools provide actionable insights that drive critical decisions and enable organizations to create exciting, new, and innovative products and services. This specialization shows you how to apply various approaches and algorithms to solve business problems through AI and ML, follow a methodical workflow to develop sound solutions, use open source, off-the-shelf tools to develop, test, and deploy those solutions, and ensure that they protect the privacy of users. The specialization is designed for data science practitioners entering the field of artificial intelligence and will prepare learners for the CAIP certification exam. Your journey to CAIP Certification 1) Complete the Coursera Certified Artificial Intelligence Practitioner Professional Certificate 2) Review the current version of the CAIP Exam Blueprint, available from CertNexus 3) Purchase your CAIP Exam Voucher at the CertNexus store 4) Register for your CAIP Exam

Description : The Certified Artificial Intelligence Practitioner™ (CAIP) specialization prepares learners to earn an industry validated certification which will differentiate themselves from other job candidates and demonstrate proficiency in the concepts of Artificial intelligence (AI) and machine learning (ML) found in CAIP. AI and ML have become an essential part of the toolset for many organizations. When used effectively, these tools provide actionable insights that drive critical decisions and enable organizations to create exciting, new, and innovative products and services. This specialization shows you how to apply various approaches and algorithms to solve business problems through AI and ML, follow a methodical workflow to develop sound solutions, use open source, off-the-shelf tools to develop, test, and deploy those solutions, and ensure that they protect the privacy of users. The specialization is designed for data science practitioners entering the field of artificial intelligence and will prepare learners for the CAIP certification exam. Your journey to CAIP Certification 1) Complete the Coursera Certified Artificial Intelligence Practitioner Professional Certificate 2) Review the current version of the CAIP Exam Blueprint, available from CertNexus 3) Purchase your CAIP Exam Voucher at the CertNexus store 4) Register for your CAIP Exam