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AI Support Analyst specialization training

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Overview

For AI Support Analysts or professionals looking to integrate AI into their analytical roles, specialized training programs can provide comprehensive skills and practical experience. Here are two notable specializations:

  1. Generative AI for Business Intelligence (BI) Analysts Specialization (Coursera):
  • Designed for BI analysts leveraging generative AI
  • Three self-paced courses, 4-6 hours each
  • Key topics:
    • Core concepts and capabilities of generative AI
    • Prompt engineering techniques
    • Using generative AI for database querying, data visualization, and report creation
    • Hands-on labs with tools like ChatGPT and Microsoft Copilot
  1. Generative AI for Data Analysts Specialization (Coursera):
  • Focuses on building generative AI skills for data analytics
  • Suitable for data analysts with no prior AI experience
  • Program covers:
    • Generative AI prompt engineering concepts and applications
    • Identifying and using appropriate generative AI tools
    • Hands-on labs with IBM Watsonx, Prompt Lab, and other tools
    • Fundamental concepts, models, and ethical implications Key Skills and Knowledge:
  • Generating text, images, and code using generative AI
  • Applying prompt engineering techniques
  • Using generative AI for data analysis, visualization, and reporting
  • Understanding ethical considerations and challenges Hands-On Learning:
  • Both programs include practical labs and projects applying concepts to real-world scenarios Prerequisites:
  • No prior AI experience required, but background in data analytics or BI is beneficial
  • Basic knowledge of AI concepts helpful but not mandatory These specializations prepare professionals to effectively integrate generative AI into their analytical workflows, enhancing their skills and career prospects in the rapidly evolving field of AI-driven data analysis.

Leadership Team

For leadership teams aiming to leverage AI and generative AI in organizational strategies, the following specialized training programs are highly beneficial:

  1. Generative AI for Business Intelligence (BI) Analysts Specialization (Coursera):
  • Designed for professionals, including leaders, leveraging generative AI in BI
  • Covers core concepts, prompt engineering, and practical use cases
  • Includes hands-on experience with tools like ChatGPT and Microsoft Copilot
  1. AI+ Executive™ Certification (AI CERTs):
  • Tailored for business leaders and executives
  • Provides strategic insights into AI technologies and their business impact
  • Focuses on practical application through workshops and case studies
  • Covers ethical and legal considerations for responsible AI practices
  • Develops skills in AI strategy development, decision-making, and project management
  1. Generative AI Leadership & Strategy Specialization (Coursera):
  • Empowers leaders to harness the potential of large language models
  • Covers effective prompt creation, practical applications, and team integration
  • Addresses adoption anxieties and advanced prompt engineering for leadership tasks
  1. SAS Certified Professional: AI and Machine Learning:
  • Broader focus on AI and machine learning strategies
  • Covers machine learning, natural language processing, and computer vision
  • Helps leaders validate AI talent and make informed decisions about AI integration These programs offer a comprehensive approach to understanding and leveraging AI and generative AI, enabling leadership teams to:
  • Align AI initiatives with business objectives
  • Drive innovation across departments
  • Make strategic decisions using AI insights
  • Develop and implement effective AI strategies
  • Navigate ethical and legal considerations in AI adoption By completing these specialized training programs, leadership teams can position their organizations at the forefront of AI-driven innovation and competitive advantage.

History

For AI Support Analysts, several training programs and certifications provide a comprehensive foundation in artificial intelligence, machine learning, and related skills. Here are some notable options:

  1. HarvardX Professional Certificate in AI:
  • Combines CS50's Introduction to Computer Science with AI-specific courses
  • Covers programming fundamentals, data analysis, model training, and advanced algorithms
  • Includes hands-on projects for practical application
  1. CertNexus Certified Artificial Intelligence Practitioner (CAIP):
  • Comprehensive understanding of AI and ML concepts, workflows, and technologies
  • Designed for data scientists and analysts
  • Prepares learners to apply AI and ML approaches to business problems
  • Recognized by a vendor-neutral certification body
  1. Artificial Intelligence Engineer (AIE) Certification by ARTiBA:
  • Demonstrates expertise in building and deploying AI systems
  • Covers machine learning, regression, neural networks, and cognitive computing
  • Three registration tracks based on educational background and work experience
  1. MIT's Professional Certificate Program in Machine Learning and Artificial Intelligence:
  • Provides a well-rounded foundation in machine learning and AI
  • Includes courses on machine learning for big data and text processing
  • Designed for technical professionals with at least three years of experience
  1. ISACA AI Training and Resources:
  • Offers a range of AI training programs, starting with AI Essentials
  • Advanced courses available for elevating expertise and auditing AI technologies
  • Helps professionals stay ahead in the rapidly evolving AI field
  1. Google Cloud's Introduction to Generative AI Learning Path:
  • Covers generative AI and large language models
  • Particularly useful for those working with Google tools
  • Includes a section on responsible AI practices
  • Suitable for beginners with no prerequisites These programs offer diverse skills and specializations tailored to the needs of AI Support Analysts. Key benefits include:
  • Building a strong foundation in AI and ML concepts
  • Gaining practical experience through hands-on projects
  • Understanding the application of AI in business contexts
  • Exploring ethical considerations and responsible AI practices
  • Staying up-to-date with the latest AI technologies and trends By choosing the appropriate program based on their specific needs and career goals, AI Support Analysts can enhance their expertise and position themselves for success in the rapidly growing field of artificial intelligence.

Products & Solutions

For individuals interested in specializing as AI Support Analysts, several training programs and solutions can be highly beneficial:

Generative AI for Business Intelligence (BI) Analysts Specialization

This Coursera specialization is designed for BI analysts looking to leverage generative AI in their roles. It includes:

  • Core concepts and capabilities of generative AI
  • Prompt engineering techniques
  • Using generative AI for database querying, data visualization automation, and report creation
  • Hands-on labs and projects for practical experience

Generative AI for Data Analysts Specialization

Another Coursera specialization tailored for data analysts seeking to enhance their careers with generative AI skills. It covers:

  • Real-world generative AI applications and popular models/tools
  • Prompt engineering concepts and techniques
  • Practical applications in data analytics
  • Hands-on labs using IBM Watsonx and Prompt Lab

ThoughtSpot Spotter: AI Analyst

ThoughtSpot's Spotter is an AI analyst tool providing conversational insights for specific industries:

  • Advanced semantic models for business language mastery
  • Human-in-the-loop feedback for accuracy
  • Integration with enterprise dashboards and custom applications
  • Support for complex datasets and various analysis types

Qlik AI Enhanced Analytics

Qlik offers a range of AI-enhanced analytics solutions:

  • Trusted AI Data Foundation: Prepares quality-governed data for AI models
  • AI Enhanced Analytics: Delivers natural language interaction, automation, and predictive analytics
  • Self Service AI Solutions: Includes Qlik AutoML and Qlik Answers
  • Insight Advisor: Uses natural language AI for fast answers and advanced analyses These programs and solutions provide comprehensive training and tools to help analysts integrate AI effectively into their work, enhancing data analysis, visualization, and decision-making processes.

Core Technology

For AI Support Analysts, several key technologies and skills are essential:

Generative AI for IT Support

The "GenAI for Computer Support Specialists (IT Support)" course on Coursera focuses on:

  • Automating tasks and resolving issues quickly with AI assistance
  • Improving customer support with personalized service
  • Applying GenAI to basic IT support tasks
  • Strategies for responsible integration of GenAI in IT support

Generative AI in Business Intelligence and Data Analytics

Relevant specializations include:

  1. "Generative AI for Business Intelligence (BI) Analysts" (Coursera):
    • Core concepts and capabilities of generative AI
    • Prompt engineering techniques
    • Using generative AI for database querying, data visualization, and reporting
    • Practical application of tools like ChatGPT and Microsoft Copilot
  2. "Generative AI for Data Analysts" (Coursera):
    • Generative AI use cases in data analytics
    • Prompt engineering and tool identification
    • Real-world applications and hands-on experience with IBM Watsonx, Prompt Lab, and GPT

Key Technologies and Skills

  1. Prompt Engineering: Crafting effective prompts for relevant outputs
  2. Generative AI Models: Understanding GPT, DALL-E, and IBM Watson Studio
  3. Task Automation and Workflow Integration: Improving efficiency and customer support
  4. Ethical AI Deployment: Considering implications across industries

Additional Certifications

The SAS Certified Professional: AI and Machine Learning credential offers a comprehensive understanding of:

  • Machine learning
  • Natural language processing
  • Computer vision
  • Model forecasting and optimization By focusing on these areas, AI Support Analysts can develop a strong foundation in core technologies and essential skills for their role.

Industry Peers

For professionals aiming to specialize as AI Support Analysts or enhance their AI-related skills, the following training and specialization programs are beneficial:

Generative AI for Business Intelligence (BI) Analysts Specialization (Coursera)

This program covers:

  • Core concepts and capabilities of generative AI
  • Prompt engineering techniques
  • Generative AI application in database querying, data visualization, and reporting
  • Hands-on labs and practical projects

Generative AI for Data Analysts Specialization (Coursera)

This specialization focuses on:

  • Identifying real-world generative AI uses and popular models/tools
  • Prompt engineering concepts and techniques
  • Applying generative AI in data analytics workflows
  • Practical experience with IBM Watsonx and OpenAI

Level 4 AI Transformation Specialist Apprenticeship (Cambridge Spark)

This 14-month program equips professionals to:

  • Identify high-impact AI implementation opportunities
  • Manage complex AI projects
  • Lead organizational change
  • Implement ethical AI practices
  • Analyze business processes and translate user requirements into AI solutions

Key Skills and Knowledge

These programs emphasize crucial areas for AI Support Analysts:

  1. Prompt Engineering: Crafting effective prompts for optimal generative AI outcomes
  2. Generative AI Tools: Utilizing ChatGPT, Microsoft Copilot, IBM Watsonx, and OpenAI
  3. Data Analysis and Visualization: Enhancing workflows with generative AI
  4. Ethical Considerations: Understanding implications across industries
  5. Hands-on Experience: Gaining practical skills through labs and real-world scenarios By focusing on these programs and skills, industry professionals can significantly enhance their careers in AI support and related fields, leveraging the power of generative AI and other cutting-edge technologies.

More Companies

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ElevenLabs

ElevenLabs is a pioneering software company specializing in the development of natural-sounding speech synthesis using advanced deep learning technologies. Founded in 2022 by Piotr Dąbkowski and Mati Staniszewski, the company has quickly become a significant player in the AI voice synthesis field. ### Founding and Funding - Founded in 2022 by former Google engineer Piotr Dąbkowski and ex-Palantir strategist Mati Staniszewski - Secured $2 million pre-seed funding in January 2023 - Raised $19 million Series A in June 2023 - Obtained $80 million Series B in January 2024, reaching a $1.1 billion valuation ### Key Technologies and Products 1. Speech Synthesis: Produces lifelike speech with emotional intonation 2. Voice Cloning: Allows users to create custom voices from audio samples 3. Voice Library: Offers over 1,000 community-created voice profiles 4. AI Dubbing: Translates speech into 20+ languages while preserving original voice characteristics 5. Multilingual Support: Generates speech in 28 languages 6. AI Speech Classifier: Detects if audio originates from ElevenLabs' technology 7. Projects: Creates long-form spoken content with contextually-aware voices 8. Voice Isolator: Removes background noise from audio 9. Text-to-Music Model: Generates music from text inputs 10. ElevenLabs Reader App: Converts articles, PDFs, and ePubs to audio ### Pricing and Integration - Offers various plans from free to advanced (Starter, Creator, Pro) - Provides powerful APIs for integration with applications like chatbots and content videos - Supports commercial use capabilities in higher-tier plans ### Customer Support - AI chatbot - Contact form - Active Discord community for user support and discussions ElevenLabs continues to innovate in the AI voice synthesis field, catering to content creators, educators, and businesses seeking high-quality, multilingual audio content solutions.

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EVgo

EVgo is a leading provider of public electric vehicle (EV) fast charging networks in the United States. Since its establishment in 2010, the company has grown significantly and now operates more than 950 charging locations across 35 states. ## History and Ownership EVgo was founded in 2010 as part of a settlement between NRG Energy and the California Public Utilities Commission. The company has since changed ownership, being sold to Vision Ridge Partners in 2016 and then to LS Power in 2020. In July 2021, EVgo's common stock began trading on the NASDAQ under the ticker symbol EVGO. ## Network and Sustainability EVgo's network covers over 145 million people in the U.S., with chargers located within 10 miles of their homes. The company is committed to sustainability, powering its entire network with 100% renewable energy through the purchase of renewable energy certificates (RECs). EVgo also engages in responsible recycling of charger equipment and supports various environmental and social initiatives. ## Charging Capabilities EVgo's charging stations are compatible with all major auto manufacturers and support various connector types, including CCS Combo 1, CHAdeMO, and North American Charging System (Tesla) connectors. The network offers high-powered chargers capable of delivering up to 350 kW, with charging speeds that can fill a vehicle from near empty to 80% in 15-45 minutes. ## Partnerships and Growth The company has established significant partnerships with automakers such as General Motors, Chevrolet, Cadillac, Honda, and Toyota. Notable collaborations include the EVgo eXtend project with GM to deploy high-power fast charging stalls at Pilot and Flying J locations. EVgo has also partnered with companies like Hertz, Uber, Lyft, and Meijer. ## User Experience EVgo provides a user-friendly mobile app that allows customers to locate stations, check real-time availability, and start charging sessions. The app supports features like Autocharge+ for seamless charging and a rewards program. Additionally, EVgo offers a "Reserve Now" program for booking charging stations at select locations. By May 2024, EVgo had reached over one million registered customer accounts, representing a 400% increase since April 2020. The company continues to expand its network and enhance the charging experience for EV drivers across the United States.

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Cyble

Cyble is a cybersecurity company specializing in cyber threat intelligence and dark web monitoring. Founded in 2019 and headquartered in Alpharetta, Georgia, Cyble has quickly established itself as a leader in the cybersecurity industry. ### Key Services and Capabilities - **Cyber Threat Intelligence**: Comprehensive monitoring of dark web, deep web, and surface web for brand protection, proactive threat hunting, and tracking of ransomware forums and data leaks. - **Attack Surface Management**: External attack surface assessment, identifying vulnerable endpoints, critical vulnerabilities, exposed credentials, and at-risk users. - **Data Breach Monitoring**: Real-time alerts and advisories on potential data breaches. - **Supply Chain Risk Monitoring**: Ensuring security across an organization's entire ecosystem. - **Incident Response and Investigation**: Malware analysis, reverse engineering, forensic investigation support, and threat actor engagement. ### Technology and Integrations Cyble's solutions are powered by artificial intelligence, enhancing threat intelligence capabilities and security scoring. Their platforms integrate seamlessly with Security Information and Event Management (SIEM) and Security Orchestration, Automation, and Response (SOAR) systems. ### Growth and Global Presence As of 2023, Cyble has raised $44.35 million in funding, including a $10 million Series A round and a $30.2 million Series B round. The company has expanded globally with over 12 offices and more than 250 employees. ### Leadership and Recognition Cyble's leadership team consists of experienced professionals from the cybersecurity industry, many with backgrounds in Fortune 500 firms, MSMEs, and government entities. The company and its leaders have received recognition from leading media outlets and industry awards. ### Flagship Product Cyble Vision, the company's primary platform, offers a unified view of an organization's external threat landscape. Users praise its extensive dark web monitoring and threat intelligence capabilities, though some suggest improvements in dashboard complexity and supply chain management. In summary, Cyble has positioned itself as a frontrunner in cyber threat intelligence, leveraging AI-driven platforms to help organizations effectively manage and mitigate cyber risks.

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AI Network Engineer specialization training

For individuals interested in specializing as AI Network Engineers, several key training programs offer comprehensive skills and knowledge: ### AI+ Network™ - AICERTs This course equips professionals with skills to integrate AI and current networking technologies. **Key Topics:** - Basic Networking Concepts - AI and Machine Learning in Network Optimization - Network Automation and Orchestration - AI-Enhanced Network Security - Hands-on Projects using Google Colab and Azure cloud **Prerequisites:** - Basic understanding of networking fundamentals - Familiarity with programming languages like Python - Fundamental knowledge of AI and machine learning concepts **Career Opportunities:** - AI Network Engineer - Network Automation Specialist - IoT and AI Network Specialist - AI Network Operations Manager ### Network Automation Engineering Fundamentals Specialization - Coursera While not AI-specific, this course provides a solid foundation in network automation. **Key Topics:** - Network Automation Basics - Scripting and Automation with Ansible and Python - DevOps for Network Automation - Model-Driven Programmability ### AI for Network Engineers - Udemy This course focuses on reinforcement learning and its applications in networking. **Key Topics:** - Reinforcement Learning Fundamentals - Q-learning Applications in Networking - Practical Applications in Cybersecurity and Systems Administration **Prerequisites:** - Beginner-level knowledge in any programming language ### Summary For comprehensive AI network engineering training, the AI+ Network™ course by AICERTs is highly recommended. It covers a wide range of topics including AI fundamentals, network automation, security, and hands-on projects, making it well-suited for those aiming to specialize in this field.