Online AI Engineering Training in US

Huawei’s CloudMatrix serves as a consolidated platform for the development and deployment of artificial intelligence solutions, engineered to facilitate scalable, enterprise-ready inference workflows.

This instructor-led program, available in online or onsite formats, targets beginner to intermediate-level practitioners seeking to deploy and monitor AI models via the CloudMatrix environment, utilizing CANN and MindSpore integration capabilities for government and public sector applications.

Upon completion of this curriculum, learners will be equipped to:

• Utilize CloudMatrix to package, deploy, and serve models effectively.
• Convert and optimize workloads for Ascend hardware architectures.
• Configure pipelines to support both real-time and batch inference operations.
• Oversee deployments and optimize performance within production environments.

Training Methodology

• Engaging lectures coupled with guided discussions.
• Practical application of CloudMatrix through real-world deployment scenarios.
• Structured exercises emphasizing model conversion, optimization, and scalability.

Customization Availability

• Organizations requiring tailored training aligned with their specific AI infrastructure or cloud environments should contact the administration to schedule.

This instructor-led, live training in US (online or onsite) is designed for intermediate to advanced AI professionals and software developers seeking to develop intelligent applications using artificial intelligence (AI) and machine learning (ML). Tailored for government audiences, the course supports workforce development initiatives aligned with modern technological requirements for government entities.

Upon completion of this training, participants will be able to:

• Demonstrate proficiency in advanced AI and ML concepts and technologies.
• Analyze and visualize data to support the development of AI/ML models.
• Construct, train, and deploy AI/ML models efficiently.
• Develop intelligent applications capable of addressing complex operational challenges.
• Assess the ethical implications of AI applications across diverse industry sectors.

This instructor-led, live training in US (online or onsite) is aimed at intermediate-level to advanced-level data scientists, engineers, and AI practitioners who wish to master the intricacies of intelligent applications and leverage them to solve complex, real-world problems.

By the end of this training, participants will be able to:

• Implement and analyze deep learning architectures.
• Apply machine learning at scale in a distributed computing environment.
• Design and execute reinforcement learning models for decision-making.
• Develop sophisticated NLP systems for language understanding.
• Utilize computer vision techniques for image and video analysis.
• Address ethical considerations in the development and deployment of AI systems.

Biren AI Accelerators are high-performance graphics processing units engineered for artificial intelligence and high-performance computing tasks, providing robust support for extensive model training and inference operations.

This instructor-led training, available in online or onsite formats, targets developers ranging from intermediate to advanced proficiency who seek to program and optimize applications using Biren’s proprietary GPU software stack, with practical comparisons to CUDA-based environments.

Upon completion of this instruction, participants will be able to:

• Comprehend the architecture and memory hierarchy of Biren GPUs.
• Configure development environments and utilize Biren’s programming interface.
• Adapt and optimize CUDA-style code for Biren hardware platforms.
• Implement performance tuning and debugging methodologies.

Course Format

• Interactive lectures and discussions.
• Practical application of the Biren SDK within sample GPU workloads.
• Directed exercises emphasizing code porting and performance optimization.

Course Customization Options

• Agencies requiring tailored training for specific application stacks or integration requirements should contact the provider to arrange a customized session for government personnel.

This guided, instructor-led training program offered US (via remote or in-person formats) is designed for entry-level information technology personnel seeking to establish a foundational comprehension of intelligent applications and their deployment across diverse industry sectors.

Upon completion of this curriculum, participants will be capable of:

• Describing the historical context, core principles, and influence of artificial intelligence.
• Selecting and implementing appropriate machine learning algorithms.
• Performing effective data management and analysis for AI-driven solutions.
• Evaluating real-world applications and constraints of artificial intelligence within various fields.
• Addressing ethical considerations and societal impacts associated with AI technologies, ensuring alignment with government standards for responsible innovation.

This intensive two-day workshop provides practitioners with the essential competencies needed to leverage Generative AI applications within federal technical and operational environments. The curriculum emphasizes the integration of artificial intelligence as a dependable resource for authoring, refining documentation, organizing requirements, expediting analysis and reporting, facilitating complex problem resolution, and enhancing cross-departmental collaboration. Attendees will acquire standard prompting methodologies, verification procedures to mitigate inaccuracies and hallucinations, and streamlined governance protocols designed to safeguard sensitive data and intellectual property. This course aims to deliver immediately actionable templates, standardized workflows, and a repeatable framework for AI-assisted work that meets the rigorous standards for government operations.

Artificial intelligence is emerging as a critical component of contemporary product management, fundamentally altering methodologies for identifying stakeholder requirements, designing solutions, and executing strategic decisions. Much like the electrification of industry transformed operational capabilities, AI technologies are redefining the processes for constructing, validating, and iterating on products.

This instructor-led, live training program, available in online or onsite formats, targets Product Owners, Scrum Masters, and Agile Coaches seeking to comprehend how artificial intelligence can augment product ownership responsibilities and improve decision-making efficacy. This curriculum is specifically designed for government audiences requiring robust technical integration strategies.

Upon completion of this training, participants will demonstrate the ability to:

• Articulate the core principles of artificial intelligence and distinguish between conventional AI applications and Generative AI (GenAI) technologies.
• Implement the seven recognized Product Owner stances, including the emerging Orchestrator role, and leverage AI to reinforce each position, such as Visionary, Experimenter, or Customer Representative.
• Execute advanced prompting techniques and utilize AI systems as specialized, intelligent collaborators within their workflows.
• Enhance stakeholder analysis by developing AI-assisted personas for hypothesis testing and discovery phases while preserving direct engagement with end users.
• Formulate and articulate a coherent product vision utilizing structured methodologies, such as the 3x3 Framework, employing AI to construct and visualize supporting narratives.
• Accelerate prototyping and hypothesis validation processes through Generative AI tools, including the creation of mock-ups and conceptual designs.
• Inform product strategy by utilizing AI capabilities to analyze, prioritize, and assess feature sets based on value proposition, technical feasibility, and user impact.
• Streamline routine operational duties, such as correspondence, stakeholder coordination, and documentation, through AI automation, thereby enabling focus on strategic and creative initiatives.
• Facilitate discourse regarding AI ethics, algorithmic bias, and data security protocols to ensure responsible and sustainable technology adoption.
• Identify and design high-value AI use cases aligned with specific product requirements and organizational objectives.
• Investigate and test approximately 20 distinct AI tools and models, ranging from productivity assistants and prototyping platforms to generative media and coding solutions.