
Generative AI Courses
Top 3 Generative AI Courses for 2026
Ranked by learner rating across our 52 Generative AI (GenAI) programs
Empowering Millions Through Professional Learning
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Generative AI (GenAI) Skills You Will Build
The core capabilities you’ll practice across Generative AI programs
- Agentic AI and Autonomous AI
- Retrieval Augmented Generation
- AI Workflow Automation
- Enterprise AI Integrations
- Prompt Engineering
- AI Governance
- Generative AI
- Multimodal AI
- AI Product Development
- LLM Operations
- Production Ready AI Deployment
- LLM Application and Development
- Multi Agent System Design
Universities and Technology Partners Behind These Programs
Applied Agentic AI: Systems, Design & Impact
- 4.9 out of 5
- 5.3K+ learners
- 10 weeks
Cohort starts: 21st Oct ’264 days left
- Intermediate to advanced
- Live cohort
View more about Applied Agentic AI: Systems, Design & Impact
Applied Agentic AI: Systems, Design & Impact is a live cohort certificate program offered with Virginia Tech, rated 4.9 out of 5 by 5.3K+ learners. Runs 10 weeks. Best for experienced practitioners.
Applied Generative AI Specialization
- 4.8 out of 5
- 4K+ learners
- 16 weeks
Cohort starts: 20th Oct ’263 days left
- Intermediate to advanced
- Live cohort
View more about Applied Generative AI Specialization
Applied Generative AI Specialization is a live cohort certificate program offered with Michigan Engineering Professional Education, rated 4.8 out of 5 by 4K+ learners. Runs 16 weeks. Best for experienced practitioners.
Agentic AI Systems: Build, Deploy & Scale
- 4.5 out of 5
- 200+ learners
- 8 weeks
Cohort starts: 21st Oct ’264 days left
- Intermediate to advanced
- Live cohort
View more about Agentic AI Systems: Build, Deploy & Scale
Agentic AI Systems: Build, Deploy & Scale is a live cohort certificate program offered with Columbia Engineering Executive Education - SL, rated 4.5 out of 5 by 200+ learners. Runs 8 weeks. Best for experienced practitioners.
Applied Generative AI and Agentic AI Specialization
- 4.9 out of 5
- 5.3K+ learners
- 12 weeks
Cohort starts: 23rd Oct ’266 days left
- Intermediate to advanced
- Live cohort
View more about Applied Generative AI and Agentic AI Specialization
Applied Generative AI and Agentic AI Specialization is a live cohort certificate program offered with Microsoft, rated 4.9 out of 5 by 5.3K+ learners. Runs 12 weeks. Best for experienced practitioners.
Generative AI Applications for Leaders
- 4.5 out of 5
- 700+ learners
- 12 weeks
- Intermediate to advanced
View more about Generative AI Applications for Leaders
Generative AI Applications for Leaders is an online certificate program offered with Michigan Engineering Professional Education, rated 4.5 out of 5 by 700+ learners. Runs 12 weeks. Best for experienced practitioners.
Generative AI Courses Overview
The Generative AI courses offered by Simplilearn cover various topics that help students learn generative AI, along with and utilize different generative models and tools. These include foundational AI concepts, deep learning, natural language processing (NLP), and the creation of AI-driven applications.
The courses also explore how generative AI works, the practical implementation of generative AI tools like ChatGPT, DALL-E, and others. After completion, learners gain hands on experience to build LLM apps and models for common use cases like text generation and creating content.
There's no single prerequisite. It depends on the course. Some beginners, leadership and strategy-focused courses need no coding or math background, since they're built around decision-making, use cases, and understanding AI's business impact.
Technical GenAI programs assume comfort with writing Python code, basic exception handling, and core AI/ML ideas. Some math (linear algebra, probability, basic calculus) comes into play once you get into how models actually work, so it's worth checking the syllabus for topics like retrieval augmented generation (rag), large language models, or fine tuning to see how technical a course really gets before assuming it's beginner-friendly end to end.
If you're non-technical and want the leadership path, you're fine as-is. If you're aiming for the technical side, a Python refresher and a light pass on stats and linear algebra will help you keep pace.
Simplilearn's GenAI courses are taught and advised by people who build AI systems for a living, alongside faculty from leading universities.
Program advisors and trainers include:
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Madhusudhanan Baskaran, PhD, Principal Faculty at IITM Pravartak
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Seth Flaxman, Associate Professor of AI at the University of Oxford
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Yehua Wei, Professor at Duke Fuqua School of Business
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Daniel Armanios, BT Professor at Saïd Business School, Oxford
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Douglas Daly, Principal AI Architect and former Meta engineer
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Abhinav Tonk, Director at Morgan Stanley
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Warren Wiens, AI Consulting Lead (26+ years)
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Mohamed Rasik, Lead GenAI Expert at Thermo Fisher Scientific (10+ years)
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Amit Yadav, Module Lead, AI/ML and GenAI at LTIMindtree (10+ years)
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Prashanth Sahoo, Gen AI and Agentic AI Expert (9+ years)
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Richard Genet, Agentic AI Leader (20+ years)
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Paul Prae, Principal AI Solutions Architect (14+ years)
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Christopher Hartline, Principal AI Architect (16+ years)
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Ellen Blackwell, AI Strategy Lead, Ex-Accenture AI (27+ years)
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Roman Nemet, Director of AI, Ex-Cognizant (29+ years)
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Ed Fassio, Chief AI Strategist, Ex-Microsoft (15+ years)
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Timothy Henize, AI and Machine Learning Engineer (18+ years)
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Jaime Saldarriaga, AI and Machine Learning Engineer (9+ years)
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Dr. Ishu Sharma, Leading AI Researcher (17+ years)
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Phani Karnati, Head of AI and ML at VHaVe.ai (20+ years)
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Prashant Nair, Founder and Principal AI Architect (15+ years)
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Vinit Singh, AI Consultant at Sony India (15+ years)
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Rachit Yadav, Senior AI Engineer at Cognite-Atlas AI (7+ years)
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Omesh Tickoo, Senior Principal AI Engineer (21+ years)
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Thomas Plunkett, Senior Principal AI Engineer (25+ years)
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Kaoutar El Maghraoui, Principal Research Scientist (18+ years)
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Richard Everts, Lead AI Researcher (15+ years)
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Vijay Rajandram, PhD, Chief Data Officer at Northern Trust Asset Management
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Bassel Dakhlallah, Data Analytics and Engineering Leader (13+ years)
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Edinson Medina, Senior Data Scientist (7+ years)
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Darshan Ingle, Principal Consultant and Senior Data Scientist (15+ years)
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Paul Forrest, AI, Data and Investment Specialist (20+ years)
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John Hauxwell, Founder, Data and AI Advisory Service (25+ years)
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Ajay K Singhal, Data, AI and Cloud Consultant (10+ years)
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Anirban Paul, Visiting Faculty at IIT R and Data and AI Tech at Oracle (15+ years)
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Alok Yadav, Data Scientist at Kendryll, formerly Darwinbox (15+ years)
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Judy DeWolf, Senior AI Product Manager at PlexTrac and former McKinsey security leader
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William Henry Harrison, Deputy CIO, Transformation and Strategy at MDOT (15+ years)
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Sohail Hosseini, DevOps Engineer (15+ years)
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Ayush Rathi, Senior Engineering Manager (11+ years)
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Manjunatha Gummaraju, Principal Consultant (28+ years)
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Nikunj Nirmal, Head of Engineering (20+ years)
We select every instructor by checking their educational background, industry experience, and teaching ability, so each course stays grounded in real, current AI practice.
After completing a generative AI course, learners will earn a professional certificate from Simplilearn and an associated institution such as Michigan Engineering, Oxford, Virginia Tech, Duke University, EICTA IIT Kanpur, or IITM Pravartak. The certifications are recognized within the industry and can enhance career opportunities globally.
Support level depends on the course type. Instructor-led and advanced programs include mentor guidance sessions, doubt clarification, and project assistance, with technical queries addressed directly rather than routed only through generic TA support.
Select courses also offer Flexi Learn access, which lets you revisit class recordings to stay aligned with your cohort. Review the specific support structure for your course, since format and depth vary across programs.
Yes. Post-completion access typically includes:
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Lifetime access to e-learning content, including videos and digital resources on the learning platform.
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Recorded live sessions for review or catch-up.
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Downloadable resources, including templates and checklists for on-the-job use.
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Alumni network access for continued networking and industry updates.
Know More About Generative AI Courses
Simplilearn’s Generative AI courses, best suited for data scientists, software engineers, researchers, and AI enthusiasts, offer learners a comprehensive understanding of AI principles, techniques, and applications. These courses focus on the most in-demand skills in Generative AI, moving beyond theoretical understanding into practical learning.
The Growing Global Need to Learn Generative AI
Generative AI has moved past text and image generation into agentic AI, tools that reason, plan, and execute tasks on their own, and hiring is shifting with it. AI-skilled professionals now earn a 56% wage premium, and generative AI expertise commands an average salary of $174,727 annually, according to industry salary data.
Demand splits into two tracks. For using GenAI tools, prompt engineering job listings jumped from roughly 6,000 to over 22,000 in a year, per Stanford's AI Index. For building GenAI tools, Gartner projects 80% of the engineering workforce will need to reskill, while the agentic AI market itself is set to grow from around $10 billion to nearly $95 billion at a 55%+ annual growth rate. Over half of enterprises will favor workflow-focused AI by 2028.
Either path, applying these tools or engineering them, puts you ahead of a market still catching up to its own demand.
Benefits of Enrolling in Generative AI Courses
Generative AI tools and applications are used in numerous business models across various industry sectors. Enrolling in Generative AI courses will improve your ability to create innovative and intelligent systems to generate new content.
These courses provide in-depth knowledge of trending AI techniques, enhance problem-solving skills, and open up career opportunities in various fields. They also foster creativity and allow for the development of personalized AI applications.
Our Generative AI Courses Duration And Fees
Connect with our learning consultant to get all your questions answered about programs, faculty, and more
Tools and Platforms Used in Our Generative AI (GenAI) Courses
Get hands-on with the platforms and tools covered across our Generative AI programs
Recommended Learning Materials for Upskilling
Explore free webinars, tutorials, career guides, and practical reads to go deeper
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Articles and Ebooks That You Can Access For Free
What Learners Say About Our Generative AI (GenAI) Courses
Read what learners say about their learning experience
Biplab Datta
Advisor, Management Consultant, AdvisoryCloud
"The Applied Generative AI Specialization Program enhanced my understanding of leveraging AI in the retail sector. As a management consultant, I gained valuable insights into applying Generative AI to real-world challenges, supporting my goal of driving innovative AI initiatives and exploring new opp..."
William Harrison
Deputy CIO, Transformation and Strategy, Maryland Department of Transportation
"I truly enjoyed the class. The well-structured program provided engaging and relevant content, laying a strong foundation for my AWS ML Engineer Associate certification. The insights gained have strengthened my AI ML expertise, helping me drive digital transformation, improve operational efficiency ..."
Generative AI (GenAI) Instructors and Mentors

Amitendra Srivastava
Chief Data Scientist at Intelytica,
Amitendra’s expertise lies in utilizing data analysis and machine learning techniques to solve complex business problems and drive strategic decisions. As Chief Data Scientist, he leverages the power of data to create value and drive innovation.

Armando Galeana
Founder and CEO at Ubhuru Technologies,
A seasoned data science leader, with extensive experience in digital transformation. Throughout his career, Armando has leveraged his vast expertise in AI & ML to build infrastructure, create new lines of business and drive global implementations.

Madhusudhanan Baskaran
IITM Pravartak - Principal Faculty,
Dr. Baskaran, with 31 years of experience in AI/ML and a Ph.D. in AI, is a Principal Faculty at IITM Pravartak, has expertise spanning Deep Learning, NLP, IoT, and Generative AI, and noted contributions in multimodal AI systems, drone data analytics, and AI-driven healthcare solutions.

Max Goff
GenAI Consultant , Ex KPMG Spark,
Max is a Seasoned Data Scientist and big data engineer with 30+ years of experience in ML, big data, and computer programming. Known for his expertise in GenAI, NLP, and process improvement, Max has consistently driven innovation and growth across organizations.

Raghav Goel
Generative AI & Data Science Consultant,
A passionate and successful corporate trainer who has delivered 150+ training sessions for corporates in India, Middle East, USA, and South East Asia for corporate clients like Publicis Sapient, KPMG, Capgemini, Coforge, ITC, DXC, Huawei, and IBM.

Sean Wiggins
Executive Director, CVN, Columbia Engineering,
As the Executive Director of CVN, Sean guides the team to serve the Columbia Engineering community by curating and ensuring the quality of remote curricular offerings and driving innovative pedagogical practice to transform teaching and learning from in-person to hybrid and remote modalities.
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Vijay Rajandram, PhD
Chief Data Officer, Northern Trust Asset Management,
Vijay Rajandram, PhD is a highly accomplished and strategic leader with extensive experience in transforming business models, driving business development, delivering digital transformations, and embedding data in business decisions.
Generative AI (GenAI) Courses: Frequently Asked Questions
Our generative AI courses are suitable for professionals in technical, commercial, and strategic roles, such as:
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Software developers and engineers exploring applied and agentic AI systems
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AI, ML, and data professionals building skills in large language models, GenAI tools, and implementation procedures
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Product professionals who work on AI-powered products, copilots, and smart user experiences
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Business leaders and functional heads evaluating real world use cases to incorporate ai into their strategy.
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Analysts, consultants, and decision-makers looking to apply AI in research, planning, and business problem-solving
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Early-career professionals and career switchers starting with a gen AI course or broader applied learning path
Yes, we have a few Generative AI courses that are perfect for beginners:
If you have zero technical background, the AI Accelerator Program is the one to start with. It has no prerequisites and is designed to take you from programming basics to building AI agents step by step, so you're not expected to know anything going on.
If you're more interested in the business or leadership side of AI rather than building things yourself, the Generative AI for Leaders: Business Transformation Program doesn't require coding at all. It's built around strategy and real-world use cases, so a non-technical background isn't a barrier there.
If you want something hands-on but still beginner-friendly, the Agentic AI Certificate Course (with Microsoft and Vishlesan I-Hub, IIT Patna) opens with a Python and AI-workflow primer before it gets into building systems, so you're not thrown into deep technical work on day one.
The right course depends on your target role. Simplilearn offers Generative AI courses across most career paths, organized by career goal:
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AI Engineer or GenAI Developer roles: choose a hands-on program covering Python, large language model architecture, and model fine-tuning.
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AI leadership and strategy roles (manager, consultant, executive): choose a strategy-focused program centered on business use cases, ROI, and AI adoption, with no coding requirement.
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Data analytics roles: choose an AI-powered data analytics program that combines core data skills with Generative AI applications.
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Adjacent technical roles (cloud computing, full stack development, automation testing, machine learning): most of these role-specific courses now include AI and GenAI skills relevant to that domain, so a separate GenAI course usually isn't necessary.
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Non-technical functions (digital marketing, business analysis, project management): several domain-specific courses include AI tools relevant to that function.
If you're unsure which course fits your background, our advisors can assess your goals and recommend the right program.
The duration and structure of Simplilearn's Generative AI courses depend upon the course you are choosing. The courses typically span from several weeks to months, blending self-paced learning modules and live instructor-led sessions.
The topics are taught through interactive live videos, real-world projects, and hands-on labs. This structure helps students learn at their own pace. They also receive guidance and a self-learning kit which includes course materials to practice Gen AI application techniques.

*All salary figures referenced are based on data reported by employees on Glassdoor. These figures are estimates and may vary depending on location, experience level, company policies, and market conditions. Actual compensation may differ.

