Home AI Courses Future Ready Company Specialization

Future Ready Company Specialization

(0 reviews)

Secure your organization's future in unstable markets. Acquire the knowledge and abilities necessary to acclimate and succeed in a business environment that is undergoing rapid change.

Key AI Functions:Artificial Intelligence (AI),Sustainability,Machine Learning,ESG,Agility,Corporate Social Responsibility,Digital transformation

Description

Reviews

Alternative Tools

Description for Future Ready Company Specialization

Identify the primary organizing principles that can be implemented to enhance the resilience of your business and how they can be transformed into innovative management practices.

Acquire the essential knowledge of ESG, corporate responsibility, and sustainability that is required to confront the objectives and obstacles of your organization.

Learn a comprehensive comprehension of the advantages and constraints of artificial intelligence (AI) and machine learning.

Get a more profound comprehension of the opportunities and challenges that digital transformation presents.

Level: Intermediate

Certification Degree: Yes

Languages the Course is Available: 21

Offered by: On Coursera provided by London Business School

Duration: 4 months at 4 hours a week

Schedule: Flexible

Reviews for Future Ready Company Specialization

0 / 5

from 0 reviews

Ease of Use

Ease of Customization

Intuitive Interface

Value for Money

Support Team Responsiveness

Featured Tools

Applied Data Science Specialization

Create Your First Chatbot with Rasa and Python

Gen AI: Business Transformation and Career Growth

Alternative Tools for Future Ready Company Specialization

The AI tool empowers non-programmers to construct and deploy AI, featuring data transformation, insights generation, identification of critical drivers, and prediction and forecasting functionalities to enhance business decision-making and planning processes.

#research #marketing

Gen AI Assisting Data Scientists

Utilize generative AI to advance in the field of data science. Develop hands-on generative AI skills that are in high demand to accelerate your data science career in under one month.

#Artificial Intelligence (AI) #Data Science

Gen AI Assisting Data Analysts

Develop generative AI capabilities for data analytics. Learn about generative AI to advance your career as a data analyst! No prior experience is required.

#Artificial Intelligence (AI) #Data Analysis

AI Engineering

Achieve a professional status as an AI Engineer. Acquire the knowledge necessary to develop next-generation applications that are propelled by generative AI, a skill that is indispensable for startups, agencies, and large corporations.

#Vector databases #RAG

Gen AI Guiding Product Managers

Enhance your Product Manager career with Gen AI. Boost your Product Manager career in under two months by developing hands-on, in-demand generative AI skills. No prior experience is required to initiate the process.

#Artificial Intelligence (AI) #ChatGPT

AI in Business

Delve into the historical evolution of Generative AI and AI, exploring diverse models and their applications in business contexts for optimized decision-making and innovation.

#Business AI #Generation AI

Gen AI Supporting Data Engineers

Begin your vocation in generative AI data engineering. Obtain the necessary skills to secure a position as a data engineer by acquiring an understanding of generative AI. No prior experience is required.

#Convolutional Neural Network #Information Engineering

Gen AI Empowering Executives & Business Leaders

Explore the evolution and business implications of generative AI, emphasizing data significance, governance, transparency, and practical applications in modernization and customer service in this course.

#Artificial Intelligence (AI) #AI Use Cases

IBM Gen AI: Cybersecurity Professionals

Improve your cybersecurity career by incorporating AI. In three months or less, acquire the necessary credentials for your cybersecurity profession and develop in-demand generative AI skills. There is no prerequisite for a degree or prior experience.

#Artificial Intelligence (AI) #Threat (Computer)

Gen AI Fundamentals

Unlock and capitalize on the capabilities of generative AI. Discover how the capabilities of generative AI can be leveraged to improve your work and personal life.

#Artificial Intelligence (AI) #Prompt Engineering

Featured Tools

Applied Data Science Specialization

Learn Python, analyze and visualize data, and apply your skills to data science and machine learning with a practical assignment to acquire hands-on skills for a career in data science.

#Model Selection #Data Analysis

The Nuts and Bolts of ML

Learn to distinguish between different types of machine learning, prepare data for model development, build and evaluate Python-based models for both supervised and unsupervised learning, and choose the right model and metric for a given algorithm.

#Stack Overflow #Python Programming

Digital Health Specialization

Explore the multidisciplinary field of digital health, covering technologies like mobile apps, wearables, AI, and big data, emphasizing their role in public health and healthcare systems, and prepare learners to design, implement, and evaluate digital health interventions.

#Digital Health #machine learning

Create Your First Chatbot with Rasa and Python

Learn the Rasa framework to create AI-powered chatbots, which is suitable for Python programmers who are new to chatbot development and lack prior machine learning experience. This course covers the fundamental components and practical applications.

#Chatterbot #Python Programming