AI is now collaboration rather than just automation. Five industry-focused, industry-relevant modules will help you develop critical assessment and applied AI skills.
If AI is available to everyone, what abilities will make you stand out?
The technology itself is a major topic of discussion in artificial intelligence. However, the most significant change is the evolving human-machine interaction and the new ways in which work is being structured around that collaboration.
For a long time, machines played a mostly supportive role in knowledge work. Professionals were able to increase productivity, automate repetitive tasks, and evaluate data with the use of software. As intelligent systems are now able to do ever-more-complex tasks, that dynamic is starting to change. A far wider range of professionals is now able to perform tasks that formerly required specialist technical teams. The difficulty today lies in understanding how to critically assess results, use AI ethically, and translate these systems into practical applications rather than having access to AI technologies.
This is where structured learning is most important, in our opinion at Great Learning. We assist professionals in gaining the discernment and intuition required to deploy AI successfully, make wise decisions, and convert capability into significant impact by fusing expert-led learning, practical application, and real-world problem-solving.
When technology advances, there are frequently more questions than answers. However, they also open doors for people and organizations that are prepared to remain inquisitive, keep learning, and reconsider conventional methods of operation.
Great Learning has created a series of programs in collaboration with top universities to enable that. Each program is tailored to a particular phase of the AI learning process, ranging from creating no-code workflows to designing and evaluating autonomous agent systems.
1. Workflows and Agents for Productivity, Excellent Learning, AI-Native Professionals
For the vast majority of working professionals who do not hold technical positions but are expected to use AI more effectively on a daily basis, we created the AI-Native Professional program. Mid-career professionals, managers, marketers, consultants, HR, and operations teams may develop useful processes that save actual time without writing a single line of code with the aid of this 6-week live online training.
- Use tools like ChatGPT, Claude, Gemini, Perplexity, and NotebookLM to create prompt systems, research workflows, and content pipelines.
- Use no-code solutions like Active Pieces, Gamma, and Lovable to automate routine operations like email triage, research synthesis, competitive intelligence, and productivity processes.
- Through weekly practical projects and a final capstone, learn about responsible AI use while working with AI agents.
2. Agentic AI Certificate, IIT Bombay
With the introduction of the Certificate in Agentic AI, offered by the Department of Computer Science and Engineering faculty, we strengthened our collaboration with IIT Bombay. Professionals in data, artificial intelligence, and software development, as well as technology consultants and technical leaders who wish to create and implement autonomous AI agents, are the target audience for this five-month online certification.
- Create AI agents that can think, plan, and work together across workflows.
- Utilize contemporary agentic frameworks such as MCP, RAG, LangGraph, and CrewAI.
- Examine more complex subjects like responsible agentic system deployment, reinforcement learning, and multi-agent systems.
3. Johns Hopkins University’s Agentic AI Certificate Program
The Certificate Program in Agentic AI is now part of our collaboration with Johns Hopkins University. This 16-week course prepares STEM professionals to create context-aware single and multi-agentic systems that sense, reason, act, and learn in dynamic situations. It is intended for STEM, data, and artificial intelligence professionals as well as technical and product managers.
- Recognize the fundamentals of key agent architectures and Agentic AI.
- Acquire knowledge about planning and reasoning strategies like ReAct and Chain-of-Thought.
- Examine more complex subjects like human-agent interaction and reinforcement learning.
4. The University of Texas at Austin’s Professional Certificate in Generative AI and Agents for Software Development
We introduced the Professional Certificate in Generative AI and Agents for Software Development, expanding the range of programs offered by The University of Texas at Austin’s McCombs School of Business. Software developers, IT specialists, and engineering managers who wish to use Generative AI and Agentic AI to improve coding productivity, streamline development processes, and spur technological creativity within their teams are the target audience for this 14-week course.
- Create full-stack apps with generative AI for debugging, testing, and coding.
- Use tools like OpenAI APIs, LangChain, and contemporary JavaScript frameworks to create AI-powered features and agents.
- Use cloud infrastructure and industry-standard development techniques to construct scalable applications.
5. The University of Texas at Austin’s postgraduate program in AI agents for business applications
Additionally, we started the Post Graduate Program in AI Agents for Business Applications this year in collaboration with The University of Texas at Austin’s McCombs School of Business. Tech practitioners, technical leaders, functional experts, and business leaders are the target audience for this 12-week online course. This application provides both code and no-code tracks for creating and implementing AI agents. It gives students a useful basis for creating and deploying AI agents that facilitate independent company operations and improve decision-making.
- Discover the principles of Agentic AI, such as RAG, LLMs, Prompt Engineering, and Generative AI.
- Utilizing tools, memory, planning, and reasoning frameworks, create intelligent agents.
- Create and implement multi-agent systems using safe and ethical AI techniques for practical business applications.
In the next five years, knowing AI technologies won’t be as important as having strategic judgment and the capacity to assess what AI generates.