AI is rapidly evolving beyond Generative AI into Agentic AI, where systems no longer create, but act, decide, and collaborate. The professionals will require programs that consider both the most recent concepts, such as LLMs, RAG, and multi-agent systems, and practical business projects to remain pertinent in 2025.
In this blog, we’ve selected the Top 5 Generative and Agentic AI programs that blend theory with practice, flexible learning, career-oriented certifications, and more, helping you develop future-proof AI skills.
1. Certificate Program in Agentic AI by Johns Hopkins University
This Agentic AI course equips learners to design and deploy autonomous, goal-driven AI agents that can perceive, reason, act, and collaborate. The curriculum combines Python projects, agent architectures (Symbolic, BDI, LLM-based), reinforcement learning, and ethical AI for real-world problem-solving.
Learners gain hands-on experience from this AI agents course with tools like LangChain, AutoGen, CrewAI, LangGraph, DSPy, RAG, and OpenAI LLMs, supported by live JHU masterclasses, expert mentorship, and an e-Portfolio to showcase industry-ready skills.
Why is this course recommended?
- Comprehensive curriculum: Covers Python foundations, Prompt Engineering, Agentic AI Design, Symbolic Reasoning, Reinforcement Learning, and Ethical AI frameworks.
- Live mentorship & support: 15+ live sessions with industry experts, monthly JHU masterclasses, personalized guidance via a program manager, and active GL learning community.
- Hands-on learning: Practice with OpenAI LLMs and modern frameworks like LangChain, LangGraph, CrewAI, and AutoGen to build enterprise-ready AI agents.
- Career-oriented recognition: Certificate of Completion with 11 Continuing Education Units (CEUs) from Johns Hopkins Universityplus a shareable e-Portfolio.
- Future-ready outcomes: Equips professionals to implement autonomous AI solutions across industries such as finance, healthcare, SaaS, and commerce while ensuring ethical deployment.
2. Gen AI to Agentic AI with Business Projects by Codebasics
The Gen AI to Agentic AI with Business Projects course will guide you through the core principles of Generative AI to more advanced Agentic AI uses.
Among the important topics are large language models (LLMs), retrieval-augmented generation (RAG), vector databases, and practical AI creation using LangChain, ChromaDB, and Streamlit.
Practical projects like creating a real estate assistant and an e-commerce chatbot enable learners to use AI in practice in business.
Why is this course recommended?
- Get trained on Generative as well as Agentic AI through business-oriented projects.
- Learn how to master master multi-agent autonomous artificial intelligence (AI) systems and real-world applications.
- Obtain skills to work in AI in business and technology.
- Unlimited access to a high-quality video lecture, exercises, quizzes, and a certificate.
3. Post Graduate Program in Generative AI for Business Applications by the McCombs School of Business at The University of Texas at Austin
This online program prepares professionals to drive business impact with Generative AI. The curriculum covers transformer architectures, LLMs, RAG, Agentic AI, LangChain, LLMOps, Python, and prompt workflows, blending technical and business applications.
Learners gain hands-on experience through 3 projects and 20+ case studies across industries like finance, healthcare, aviation, and IT, supported by 10 live mentorship sessions, program managers, and peer groups. Graduates earn a UT Austin certificate and build an industry-ready portfolio to showcase their expertise in Generative AI.
Why is this course recommended?
- Industry-relevant curriculum: Gain expertise in Generative AI tools and techniques like Prompt Engineering, LLMOps, RAG workflows, and Agentic AI tailored for business transformation.
- Personalized assistance: Benefit from 1:1 support, career guidance, and mentorship to accelerate your learning journey and career growth.
- Hands-on projects & case studies: Apply your learning through 3 guided projects and 20+ case studies across diverse industries, ensuring real-world applicability.
- Career-focused outcomes: Build an e-Portfolio, get resume & profile reviews, and showcase your projects to highlight expertise in business-ready Generative AI solutions.
- Future-ready skills: Learn to design scalable GenAI solutions, deploy AI agents for automation, analyze risks, and apply ethical principles in AI adoption.
4. Generative AI & Agentic AI Development by Boston Institute of Analytics
In this course leanrers learn to develop autonomous, intelligent, and multimodal AI systems. Encompassing basic to advanced skills such as prompting, planning, memory methods, and retrieval-augmented generation (RAG) of text, image, video, and structured data, the program focuses on practical learning with 15+ projects and an enterprise-ready final project.
Learners get exposure to models such as LangChain, AutoGen, CrewAI, and LangGraph, and learn how to operate multi-agent systems, real-time event-driven AI, and responsible deployment.
Why is this course recommended?
- Full course (200+) of theory and practical projects and enterprise applications.
- Dual certification in AI skills sets that are highly demanded, with several flexible learning options (4-10 months).
- Career guidance, resume construction, interview guide, and access to partner firms.
- Equips learners to implement autonomous AI solutions in financial services, medicine, commerce, and SaaS.
5. Agentic AI and AI Agents: A Primer for Leaders by Vanderbilt University
In the course Agentic AI and AI Agents: A Primer for Leaders, developed by Vanderbilt University and instructed by Dr. Jules White, the concept of Agentic AI and its use in the business industry is presented to the learners at the beginner level.
The program includes autonomous AI behaviors, such as writing emails or developing CRMs, using ideas of flipped interaction patterns, tools usage, retrieval-augmented generation (RAG), and the creation of simple AI agents with custom GPTs.
It provides learners with a background of knowledge in agentic systems, prompt engineering, workflow management, and business process automation.
Why is this course recommended?
- Created to be used by leaders and professionals who have no prior experience with AI or no prior programming experience.
- Concentrates on its assessment and strategic use of agentic AI in the business environment.
- Flexible, short-term learning through the use of videos, readings, and assignments.
- Gain a certificate to share in order to increase career opportunities.
- Enables decision-makers to execute and oversee independent AI solutions successfully.
Conclusion
The need for professionals capable of designing, deploying, and maintaining AI systems is increasingly rising as AI advances to agentic decision-making. The programs listed here are unique in a combination of advanced concepts, real-world business projects, and career-ready certifications, so that learners have immediate access to develop future-proof AI skills.
To keep pace in 2025, taking one of those courses is a prudent move toward getting conversant with the next round of AI innovation.
