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SuperAgent: Building Autonomous AI Agents
Master SuperAgent to design, deploy, and manage LLM-powered autonomous agents that think, act, and collaborate using modern AI tools and APIs.
Course Duration: 10 Hours
Preview SuperAgent: Building Autonomous AI Agents course
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SuperAgent – Building Autonomous AI Agents – Online Course
SuperAgent: Building Autonomous AI Agents is a self-paced, project-based course that guides you through the creation of powerful, autonomous AI systems using SuperAgent—a modern open-source framework for building AI agents that interact with tools, APIs, memory, and data sources in real time.
This course is ideal for developers, AI enthusiasts, data engineers, and product managers looking to harness LLMs for dynamic, intelligent behavior beyond simple chat.
About the Course
Course Introduction
Large Language Models (LLMs) like GPT-4, Claude, and others have become the cognitive engines behind a new class of intelligent systems—AI agents. These agents can read data, plan actions, call APIs, reason over tasks, and perform autonomous operations across apps and platforms.
Large Language Models (LLMs) like GPT-4, Claude, and others have become the cognitive engines behind a new class of intelligent systems—AI agents. These agents can read data, plan actions, call APIs, reason over tasks, and perform autonomous operations across apps and platforms.
SuperAgent is an advanced, production-ready framework built to simplify the development of these agents. With a robust API, tool ecosystem, and support for embeddings, memory, and webhooks, SuperAgent makes it possible to go from prompt to full AI workflows with modular architecture and real-time performance.
What is SuperAgent?
SuperAgent is an open-source platform that lets you build multi-agent systems powered by LLMs. It includes capabilities like tool invocation, external API calls, memory integration (e.g., Redis, Pinecone), scheduling, and background task management—empowering developers to design agents that work independently or in collaboration.
SuperAgent is an open-source platform that lets you build multi-agent systems powered by LLMs. It includes capabilities like tool invocation, external API calls, memory integration (e.g., Redis, Pinecone), scheduling, and background task management—empowering developers to design agents that work independently or in collaboration.
This course teaches you how to design agents using SuperAgent’s intuitive API or web interface, integrate them into your apps, and monitor their actions, all while following best practices in prompt engineering, agent reasoning, and feedback collection.
How to Use This Course
To get the most out of this course:
To get the most out of this course:
- Follow a step-by-step learning path, from agent setup to multi-agent architectures.
- Apply knowledge through hands-on labs, coding exercises, and debugging practices.
- Build real-world projects like autonomous research bots, support agents, and workflow orchestrators.
- Experiment with tools, APIs, and memory systems to create robust and contextual agents.
- Use evaluation and monitoring tips to improve performance and reliability.
Whether you’re building internal tools or deploying AI agents for customers, this course will give you the skills to build with confidence.
Course/Topic 1 - Coming Soon
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The videos for this course are being recorded freshly and should be available in a few days. Please contact info@uplatz.com to know the exact date of the release of this course.
Course Objectives Back to Top
By the end of this course, you will be able to:
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Understand the architecture and capabilities of the SuperAgent framework.
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Design autonomous agents using modular components.
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Configure tools, APIs, and plugins that agents can use.
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Implement memory systems for contextual decision-making.
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Orchestrate multi-step workflows with autonomous planning.
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Integrate SuperAgent with LLMs like GPT-4, Claude, and open-source models.
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Monitor agent behavior with logs, traces, and structured outputs.
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Deploy SuperAgent in cloud environments and as RESTful services.
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Use embeddings, document loaders, and vector stores in agents.
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Apply best practices for agent safety, alignment, and reasoning.
Course Syllabus Back to Top
Course Syllabus
Module 1: Introduction to SuperAgent
- What is SuperAgent?
- LLM agents vs chatbots
- Key features and use cases
Module 2: Setting Up the SuperAgent Framework
- Installation (Docker, local, cloud)
- Architecture overview
- SuperAgent web interface and CLI
Module 3: Creating Your First AI Agent
- Defining roles, instructions, and goals
- Tool and memory configuration
- Running agents with the API
Module 4: Agents and Tools
- Understanding tools in SuperAgent
- Calling APIs and external functions
- Custom tool development
Module 5: Memory & Context Management
- Vector stores: Redis, Pinecone, Qdrant
- Document loaders and embedding pipelines
- Long-term memory and summarization
Module 6: Planning & Task Execution
- Agent planning strategies
- Task queues and async operations
- Handling multi-step workflows
Module 7: Multi-Agent Collaboration
- Agent-to-agent communication
- Delegating tasks and role assignment
- Chain-of-agents for complex workflows
Module 8: Using SuperAgent with LLM Providers
- OpenAI, Anthropic, Hugging Face integration
- API key and environment setup
- Selecting models per task
Module 9: Monitoring, Logging, and Debugging
- Logs, traces, and action trees
- Inspecting output and failures
- Performance tuning
Modules 10–13: Projects
- Project 1: AI Research Assistant
- Project 2: Customer Support Agent with Memory
- Project 3: Autonomous Web Scraper + Report Generator
- Project 4: Multi-Agent Document Reviewer
Module 14: Agent Safety, Limits, and Evaluation
- Ethical constraints and guardrails
- Prompt engineering for reliability
- Feedback functions and observability
Module 15: SuperAgent Interview Questions & Answers
Certification Back to Top
Upon successful completion of the SuperAgent: Building Autonomous AI Agents course, learners will receive a Certificate of Completion from Uplatz, validating their practical expertise in designing, building, and deploying intelligent LLM agents using SuperAgent. This certification showcases your ability to use advanced frameworks, tools, and methodologies in AI automation, giving you a competitive edge in developer, data science, or automation-focused roles. The certification includes hands-on experience and evaluated projects, making you ready to build real-world AI solutions.
Career & Jobs Back to Top
SuperAgent and agentic AI are at the forefront of the next wave of AI adoption. As businesses look to automate support, research, operations, and decision-making, skilled agent developers are in high demand.
This course opens up career paths including:
- AI Agent Developer
- Autonomous Systems Engineer
- Prompt Engineer
- LLM Application Developer
- AI Automation Specialist
- Product Manager for AI Tools
You can work across industries—healthcare, legal, finance, e-commerce, logistics, and SaaS—building AI solutions that are adaptive, autonomous, and scalable. With the rise of open-source agents and platforms like LangChain, SuperAgent, and AutoGPT, now is the perfect time to become a pioneer in this evolving landscape.
Interview Questions Back to Top
1. What is SuperAgent and how does it differ from basic LLM apps?
SuperAgent is a framework for building autonomous AI agents that can act, plan, and use tools. Unlike simple LLM chat apps, agents built with SuperAgent can perform tasks independently over time.
SuperAgent is a framework for building autonomous AI agents that can act, plan, and use tools. Unlike simple LLM chat apps, agents built with SuperAgent can perform tasks independently over time.
2. What are “tools” in the context of SuperAgent?
Tools are external functions or APIs that the agent can invoke to perform actions, such as searching the web, fetching data, or calling other services.
Tools are external functions or APIs that the agent can invoke to perform actions, such as searching the web, fetching data, or calling other services.
3. How does SuperAgent use memory?
SuperAgent supports vector-based memory using stores like Pinecone or Redis, allowing agents to remember past interactions and retrieve relevant context for future tasks.
SuperAgent supports vector-based memory using stores like Pinecone or Redis, allowing agents to remember past interactions and retrieve relevant context for future tasks.
4. What’s the difference between an agent and a chain?
A chain is a sequence of steps or prompts, whereas an agent makes autonomous decisions about which tool to use or which action to take next.
A chain is a sequence of steps or prompts, whereas an agent makes autonomous decisions about which tool to use or which action to take next.
5. How can you integrate SuperAgent into a web application?
By deploying it via REST API or using Docker-based containers, you can call SuperAgent endpoints from front-end apps or backend services.
By deploying it via REST API or using Docker-based containers, you can call SuperAgent endpoints from front-end apps or backend services.
6. What models does SuperAgent support?
SuperAgent is model-agnostic and supports OpenAI, Anthropic (Claude), Cohere, Hugging Face models, and local LLMs.
SuperAgent is model-agnostic and supports OpenAI, Anthropic (Claude), Cohere, Hugging Face models, and local LLMs.
7. How do agents plan their actions?
Agents use reasoning strategies like reflection, scoring, or tool-use chains to decide on next steps. Planning can be rule-based or learned through prompt feedback.
Agents use reasoning strategies like reflection, scoring, or tool-use chains to decide on next steps. Planning can be rule-based or learned through prompt feedback.
8. What are common use cases of SuperAgent?
Common use cases include research bots, customer support agents, automated assistants, RAG pipelines, and document reviewers.
Common use cases include research bots, customer support agents, automated assistants, RAG pipelines, and document reviewers.
9. How do you monitor and debug a SuperAgent workflow?
Using logs, span trees, and structured outputs within SuperAgent’s UI or logs, you can inspect every decision, tool call, and model output.
Using logs, span trees, and structured outputs within SuperAgent’s UI or logs, you can inspect every decision, tool call, and model output.
10. What makes SuperAgent production-ready?
Its Docker-native setup, REST APIs, plugin support, vector memory, and multi-agent orchestration make it highly scalable and reliable for real applications.
Its Docker-native setup, REST APIs, plugin support, vector memory, and multi-agent orchestration make it highly scalable and reliable for real applications.
Course Quiz Back to Top
FAQs
Back to Top
Q1. What are the payment options?
A1. We have multiple payment options:
1) Book your course on our webiste by clicking on Buy this course button on top right of this course page
2) Pay via Invoice using any credit or debit card
3) Pay to our UK or India bank account
4) If your HR or employer is making the payment, then we can send them an invoice to pay.
Q2. Will I get certificate?
A2. Yes, you will receive course completion certificate from Uplatz confirming that you have completed this course with Uplatz. Once you complete your learning please submit this for to request for your certificate https://training.uplatz.com/certificate-request.php
Q3. How long is the course access?
A3. All our video courses comes with lifetime access. Once you purchase a video course with Uplatz you have lifetime access to the course i.e. forever. You can access your course any time via our website and/or mobile app and learn at your own convenience.
Q4. Are the videos downloadable?
A4. Video courses cannot be downloaded, but you have lifetime access to any video course you purchase on our website. You will be able to play the videos on our our website and mobile app.
Q5. Do you take exam? Do I need to pass exam? How to book exam?
A5. We do not take exam as part of the our training programs whether it is video course or live online class. These courses are professional courses and are offered to upskill and move on in the career ladder. However if there is an associated exam to the subject you are learning with us then you need to contact the relevant examination authority for booking your exam.
Q6. Can I get study material with the course?
A6. The study material might or might not be available for this course. Please note that though we strive to provide you the best materials but we cannot guarantee the exact study material that is mentioned anywhere within the lecture videos. Please submit study material request using the form https://training.uplatz.com/study-material-request.php
Q7. What is your refund policy?
A7. Please refer to our Refund policy mentioned on our website, here is the link to Uplatz refund policy https://training.uplatz.com/refund-and-cancellation-policy.php
Q8. Do you provide any discounts?
A8. We run promotions and discounts from time to time, we suggest you to register on our website so you can receive our emails related to promotions and offers.
Q9. What are overview courses?
A9. Overview courses are 1-2 hours short to help you decide if you want to go for the full course on that particular subject. Uplatz overview courses are either free or minimally charged such as GBP 1 / USD 2 / EUR 2 / INR 100
Q10. What are individual courses?
A10. Individual courses are simply our video courses available on Uplatz website and app across more than 300 technologies. Each course varies in duration from 5 hours uptop 150 hours.
Check all our courses here https://training.uplatz.com/online-it-courses.php?search=individual
Q11. What are bundle courses?
A11. Bundle courses offered by Uplatz are combo of 2 or more video courses. We have Bundle up the similar technologies together in Bundles so offer you better value in pricing and give you an enhaced learning experience.
Check all Bundle courses here https://training.uplatz.com/online-it-courses.php?search=bundle
Q12. What are Career Path programs?
A12. Career Path programs are our comprehensive learning package of video course. These are combined in a way by keeping in mind the career you would like to aim after doing career path program. Career path programs ranges from 100 hours to 600 hours and covers wide variety of courses for you to become an expert on those technologies.
Check all Career Path Programs here https://training.uplatz.com/online-it-courses.php?career_path_courses=done
Q13. What are Learning Path programs?
A13. Learning Path programs are dedicated courses designed by SAP professionals to start and enhance their career in an SAP domain. It covers from basic to advance level of all courses across each business function. These programs are available across SAP finance, SAP Logistics, SAP HR, SAP succcessfactors, SAP Technical, SAP Sales, SAP S/4HANA and many more
Check all Learning path here https://training.uplatz.com/online-it-courses.php?learning_path_courses=done
Q14. What are Premium Career tracks?
A14. Premium Career tracks are programs consisting of video courses that lead to skills required by C-suite executives such as CEO, CTO, CFO, and so on. These programs will help you gain knowledge and acumen to become a senior management executive.
Q15. How unlimited subscription works?
A15. Uplatz offers 2 types of unlimited subscription, Monthly and Yearly.
Our monthly subscription give you unlimited access to our more than 300 video courses with 6000 hours of learning content. The plan renews each month. Minimum committment is for 1 year, you can cancel anytime after 1 year of enrolment.
Our yearly subscription gives you unlimited access to our more than 300 video courses with 6000 hours of learning content. The plan renews every year. Minimum committment is for 1 year, you can cancel the plan anytime after 1 year.
Check our monthly and yearly subscription here https://training.uplatz.com/online-it-courses.php?search=subscription
Q16. Do you provide software access with video course?
A16. Software access can be purchased seperately at an additional cost. The cost varies from course to course but is generally in between GBP 20 to GBP 40 per month.
Q17. Does your course guarantee a job?
A17. Our course is designed to provide you with a solid foundation in the subject and equip you with valuable skills. While the course is a significant step toward your career goals, its important to note that the job market can vary, and some positions might require additional certifications or experience.
Remember that the job landscape is constantly evolving. We encourage you to continue learning and stay updated on industry trends even after completing the course. Many successful professionals combine formal education with ongoing self-improvement to excel in their careers. We are here to support you in your journey!
Q18. Do you provide placement services?
A18. While our course is designed to provide you with a comprehensive understanding of the subject, we currently do not offer placement services as part of the course package. Our main focus is on delivering high-quality education and equipping you with essential skills in this field.
However, we understand that finding job opportunities is a crucial aspect of your career journey. We recommend exploring various avenues to enhance your job search:
a) Career Counseling: Seek guidance from career counselors who can provide personalized advice and help you tailor your job search strategy.
b) Networking: Attend industry events, workshops, and conferences to build connections with professionals in your field. Networking can often lead to job referrals and valuable insights.
c) Online Professional Network: Leverage platforms like LinkedIn, a reputable online professional network, to explore job opportunities that resonate with your skills and interests.
d) Online Job Platforms: Investigate prominent online job platforms in your region and submit applications for suitable positions considering both your prior experience and the newly acquired knowledge. e.g in UK the major job platforms are Reed, Indeed, CV library, Total Jobs, Linkedin.
While we may not offer placement services, we are here to support you in other ways. If you have any questions about the industry, job search strategies, or interview preparation, please dont hesitate to reach out. Remember that taking an active role in your job search process can lead to valuable experiences and opportunities.
Q19. How do I enrol in Uplatz video courses?
A19. To enroll, click on "Buy This Course," You will see this option at the top of the page.
a) Choose your payment method.
b) Stripe for any Credit or debit card from anywhere in the world.
c) PayPal for payments via PayPal account.
d) Choose PayUmoney if you are based in India.
e) Start learning: After payment, your course will be added to your profile in the student dashboard under "Video Courses".
Q20. How do I access my course after payment?
A20. Once you have made the payment on our website, you can access your course by clicking on the "My Courses" option in the main menu or by navigating to your profile, then the student dashboard, and finally selecting "Video Courses".
Q21. Can I get help from a tutor if I have doubts while learning from a video course?
A21. Tutor support is not available for our video course. If you believe you require assistance from a tutor, we recommend considering our live class option. Please contact our team for the most up-to-date availability. The pricing for live classes typically begins at USD 999 and may vary.