Online or onsite, instructor-led live Alibaba AI training courses demonstrate through interactive hands-on practice how to use Alibaba's AI tools and platforms to enhance productivity, automate tasks, and develop AI-driven applications.
Alibaba AI training is available as "online live training" or "onsite live training". Online live training (aka "remote live training") is carried out by way of an interactive, remote desktop. Onsite live Alibaba AI trainings in Milan can be carried out locally on customer premises or in NobleProg corporate training centers.
NobleProg -- Your Local Training Provider
Milan
NobleProg Milan, Via Scarlatti 4, Milan, italy, 20124
The meeting center is close to central part of the city and near the central station. It is easy to rech the place with the underground. In that neighbourhood there are many shops and restaurants.
This instructor-led, live training in Milan (online or onsite) is aimed at beginner-level business analysts, IT professionals, and AI enthusiasts who wish to gain hands-on experience with Alibaba's AI tools and understand their applications in various industries.
By the end of this training, participants will be able to:
Navigate Alibaba's AI ecosystem and understand its key components.
Identify use cases and applications for various AI tools.
Utilize Alibaba AI services for data processing and analysis.
Integrate AI-driven insights into business operations.
This instructor-led, live training in Milan (online or onsite) is aimed at advanced-level AI developers and enterprise architects who wish to customize and deploy Qwen for various enterprise applications.
By the end of this training, participants will be able to:
Customize Qwen to meet specific enterprise needs.
Deploy Qwen in a cloud or on-premise environment.
Integrate Qwen with existing enterprise systems and applications.
Monitor and optimize the performance of Qwen-based solutions.
This instructor-led, live training in Milan (online or onsite) is aimed at intermediate-level customer service managers and automation specialists who wish to leverage Quark for automating customer support operations and improving efficiency.
By the end of this training, participants will be able to:
Understand the key features and functionalities of Quark.
Automate customer service workflows using Quark.
Integrate Quark with existing customer support systems.
Monitor and optimize automated customer interactions.
This instructor-led, live training in Milan (online or onsite) is aimed at intermediate-level cloud engineers, AI developers, and data scientists who wish to implement AI solutions using Alibaba Cloud AI Services.
By the end of this training, participants will be able to:
Understand the core components of Alibaba Cloud AI Services.
Integrate AI services into cloud applications using Alibaba Cloud SDKs.
Implement computer vision and NLP solutions using Alibaba Cloud APIs.
Monitor and optimize AI-driven applications on the Alibaba Cloud platform.
This instructor-led, live training in Milan (online or onsite) is aimed at intermediate-level AI engineers and software developers who wish to build intelligent agents using Quark for tasks such as process automation, dynamic decision-making, and workflow optimization.
By the end of this training, participants will be able to:
Understand the architecture and capabilities of Quark.
Design and implement intelligent agents using Quark for automation tasks.
Integrate Quark with existing systems for data processing and decision-making.
Develop real-time decision-making workflows using Quark.
This instructor-led, live training in Milan (online or onsite) is aimed at advanced-level NLP specialists, data scientists, and AI researchers who wish to integrate Qwen into their NLP workflows.
By the end of this training, participants will be able to:
Understand the architecture and features of Qwen.
Utilize Qwen for advanced NLP tasks, including text generation, analysis, and transformation.
Integrate Qwen into AI applications for processing natural language data.
Optimize NLP workflows using Qwen APIs and libraries.
Evaluate and fine-tune Qwen models for specific tasks.
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