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Generative Ai Certification Jobs in Georgia (NOW HIRING)

Machine Learning, Deep Learning, Generative AI, LLMs, RAG, Agentic AI Frameworks * Python, SQL ... Google Cloud AI certifications * Strong stakeholder management and executive communication skills ...

New

... Generative AI, LLMs, Agentic AI and cloud-based AI solutions. • Experience managing complex ... AI certifications are desirable. Scalable Systems is an Equal Opportunity-Affirmative Action ...

Generative AI Data Engineer III

Atlanta, GA · On-site

$110K - $132K/yr

Our Deloitte AI & Engineering team works to transform technology platforms, drive innovation, and ... Active Certification/Advanced certification in Python, Pyspark, Pytorch, Tensorflow * Ability to ...

With the support and investment needed to explore new frontiers in generative AI, you'll be working alongside talented colleagues, innovating and leading projects that will transform how we manage ...

Generative AI Data Engineer III

Atlanta, GA

$110K - $132K/yr

Active Certification/Advanced certification in Python, Pyspark, Pytorch, Tensorflow * Ability to ... Our Deloitte AI & Engineering team works to transform technology platforms, drive innovation, and ...

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AI Developer

Atlanta, GA · On-site

$40 - $45/hr

AI/Cloud certifications. * Experience building enterprise AI agents and copilots. Skills: Generative AI, LLMs, Python, RAG, LangChain, Azure OpenAI, Vector Databases, AI Agents, API Integration ...

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AI Developer

Atlanta, GA · On-site

$40 - $45/hr

AI/Cloud certifications. * Experience building enterprise AI agents and copilots. Skills: Generative AI, LLMs, Python, RAG, LangChain, Azure OpenAI, Vector Databases, AI Agents, API Integration ...

AI Engineer

Atlanta, GA · On-site

$50 - $55/hr

Hands-on expertise in integrating Generative AI (GenAI) and Large Language Model (LLM) solutions ... As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is ...

AI/Cloud certifications. * Experience building enterprise AI agents and copilots. Skills: Generative AI, LLMs, Python, RAG, LangChain, Azure OpenAI, Vector Databases, AI Agents, API Integration,

AI Engineer

Atlanta, GA · On-site

$110K - $150K/yr

Experience with Generative AI Large Language Models (LLMs), including solution development and fine ... Azure or Databricks certifications (e.g., Azure AI Engineer Associate, Azure Solutions Architect ...

Experience with Generative AI Large Language Models (LLMs), including solution development and fine ... Azure or Databricks certifications (e.g., Azure AI Engineer Associate, Azure Solutions Architect ...

Lead Generative AI Data Engineer III

Atlanta, GA · On-site

$98K - $129K/yr

Active certification or advanced certification in Python, Pyspark, Pytorch, and Tensorflow ... Our Deloitte AI & Engineering team works to transform technology platforms, drive innovation, and ...

AI Engineer

Atlanta, GA · On-site

$55 - $60/hr

Hands-on expertise in integrating Generative AI (GenAI) and Large Language Model (LLM) solutions ... As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is ...

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Generative Ai Certification information

What is a generative AI certification?

A Generative AI Certification is a credential that demonstrates your knowledge and skills in developing, deploying, and understanding generative artificial intelligence models, such as those used for creating text, images, audio, or video. These certifications typically cover foundational AI concepts, deep learning, neural networks, and hands-on experience with tools like GPT, DALL-E, or similar models. Earning a certification can enhance your credibility and job prospects in AI-related fields, proving your ability to work with cutting-edge generative technologies.

What are the key skills and qualifications needed to thrive as a generative AI specialist, and why are they important?

To thrive as a Generative AI Specialist, you need a solid background in computer science, machine learning, and deep learning, often supported by a relevant degree and experience with AI frameworks. Proficiency in tools like TensorFlow, PyTorch, and experience with generative models such as GANs or transformers, as well as certifications in AI, are typically required. Strong problem-solving, creativity, and effective communication skills help distinguish top performers in this field. These skills are essential for developing innovative AI solutions, collaborating with cross-functional teams, and addressing complex challenges in generative AI applications.

What are some common challenges professionals face when applying generative AI techniques in real-world projects?

Professionals working with generative AI often encounter challenges such as ensuring data quality, managing computational resource demands, and aligning model outputs with business objectives. Successfully deploying generative models requires close collaboration with data engineers, domain experts, and stakeholders to address ethical considerations and ensure outputs are both accurate and useful. Additionally, adapting quickly to the fast-evolving landscape of generative AI tools and frameworks is crucial for staying effective and competitive in the field.

What is the difference between Generative Ai Certification vs Data Scientist?

AspectGenerative Ai CertificationData Scientist
Required credentialsCertification programs, online coursesDegree in data science, statistics, or related fields
Work environmentTraining, project-based, AI-focused teamsResearch, analysis, data modeling in various industries
Employer usageTech companies, AI startups, training providersTech firms, finance, healthcare, consulting
Search intentLearning AI generative models, certification programsAnalyzing data, building models, insights

Generative Ai Certification focuses on training individuals in AI generative models through courses and certifications, often for skill validation. Data Scientists typically hold degrees and perform data analysis, modeling, and insights across industries. While both roles involve AI and data, certifications are more about skill validation, whereas data scientists are involved in comprehensive data analysis and modeling tasks.

Is generative AI certification worth it?

Generative AI certification can enhance a job seeker's credentials by validating skills in AI model development, data handling, and relevant tools like Python or TensorFlow. It can improve employability in roles such as AI engineer or data scientist, especially as demand for AI expertise grows. However, practical experience and project work are also important factors in securing related positions.

What jobs can you get with a generative AI certification?

A generative AI certification can qualify you for roles such as AI developer, machine learning engineer, data scientist, or AI researcher, where skills in neural networks, deep learning, and AI tools are essential. These positions often involve developing, training, and deploying AI models in various industries like technology, healthcare, and finance.

What are the most commonly searched types of Generative Ai Certification jobs in Georgia?

The most popular types of Generative Ai Certification jobs in Georgia are:

What are popular job titles related to Generative Ai Certification jobs in Georgia?

For Generative Ai Certification jobs in Georgia, the most frequently searched job titles are:

What job categories do people searching Generative Ai Certification jobs in Georgia look for?

The top searched job categories for Generative Ai Certification jobs in Georgia are:

What cities in Georgia are hiring for Generative Ai Certification jobs?

Cities in Georgia with the most Generative Ai Certification job openings:

Infographic showing various Generative Ai Certification job openings in Georgia as of August 2026, with employment types broken down into 75% Full Time, and 25% Contract. Highlights an 82% In-person, 11% Hybrid, and 7% Remote job distribution.

Full-time

Posted 6 days ago


Job description

AI Program Manager
Atlanta ,GA ( Need only Local Candidates) - Onsite
Contract
ROLE_DESCRIPTION:
• 10+ years of experience in IT/program management, including experience leading large transformation programs.
• Strong understanding of AI/ML, Generative AI, LLMs, Agentic AI and cloud-based AI solutions.
• Experience managing complex, cross-functional programs in an enterprise/customer environment.
• Strong knowledge of Agile delivery, program governance, risk management and stakeholder management.
• Excellent customer-facing, executive communication and leadership skills.
• Experience in financial services, payments or fintech is preferred.
• PMP/Agile/Cloud/AI certifications are desirable.