Certified Agentic AI Engineer at REVA Academy for Corporate Excellence (RACE), Bangalore: Course, Fees, Admission

REVA Academy for Corporate Excellence (RACE)

Certified Agentic AI Engineer

Certification (IT & Software)

Shortlisted by 298+ Students

Location: Bengaluru/Bangalore

Duration: 2 MONTH

Hybrid / Online & offline

Average Fees: ₹ 60000

Highlights A 50-hour, project-driven certification to make you job-ready in next-gen autonomous AI systems. Learn from industry experts and build deployable portfolio projects. The program empowers IT professionals, software engineers, and cloud specialists to design, train, and deploy intelligent agents that can reason, plan, and act autonomously.

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Frequently Asked Questions

What makes REVA Academy a good choice for the Certified Agentic AI Engineer course?

REVA Academy for Corporate Excellence (RACE) is a well-known training provider that focuses on industry-ready skills. For the Certified Agentic AI Engineer course, it brings together expert faculty, hands-on labs, and real AI use cases so learners can go beyond theory and build practical capabilities.

How does the college support students enrolled in the Certified Agentic AI Engineer certification?

RACE supports students with structured coaching sessions, project guidance, mentorship from AI professionals, and access to learning resources. They also provide doubt-clearing sessions and regular feedback to help students stay on track.

What kind of learning atmosphere and resources does the college offer for AI-focused learners?

The academy offers a collaborative environment where learners can experiment with AI tools, participate in discussions, and work on projects. Resources include study materials, cloud lab access, and examples drawn from real AI challenges.

What does the Certified Agentic AI Engineer course curriculum include?

The curriculum covers agentic AI fundamentals, autonomous AI systems, machine learning models, data handling, AI frameworks, and real-world implementation techniques. The course is designed to build job-ready AI engineering skills.

What is the duration of the Certified Agentic AI Engineer certification course?

The duration of the Certified Agentic AI Engineer course varies depending on the learning mode, but it is generally completed within a few weeks to a few months, allowing learners to balance learning with other commitments.

Who can apply for the Certified Agentic AI Engineer certification at RACE?

The course is open to graduates, final-year students, and working professionals who are interested in AI, automation, and intelligent systems. Candidates from technical and analytical backgrounds may find it easier to adapt, but motivated learners from other fields are also welcome.

What career opportunities are available after completing the Certified Agentic AI Engineer certification?

After completing the certification, learners can explore roles such as AI Engineer, Machine Learning Engineer, Automation Engineer, AI Developer, or Intelligent Systems Specialist across various industries.

Is prior programming or AI knowledge required for the Certified Agentic AI Engineer course?

Prior experience in programming or AI is helpful but not compulsory. The Certified Agentic AI Engineer course starts with core fundamentals, making it easier for beginners to understand concepts before gradually moving into more advanced agentic AI applications.

Can non-technical students enroll in the Certified Agentic AI Engineer program?

Yes, non-technical students can enroll in the program. As long as learners are willing to build basic programming and analytical skills, the course structure supports individuals from varied educational backgrounds.

Is there an entrance exam for the Certified Agentic AI Engineer course?

In most cases, there is no formal entrance exam. Admission is usually based on a basic eligibility review or a short discussion with the admissions team to ensure the candidate is prepared for the course.

What skills will I gain from the Certified Agentic AI Engineer course?

The Certified Agentic AI Engineer course provides a comprehensive set of skills needed for modern AI roles. You’ll learn to design autonomous AI systems, develop machine learning and deep learning models, handle large datasets, and implement AI frameworks for real-world applications. Additionally, the course emphasizes critical thinking, problem-solving, and hands-on project experience, helping you confidently apply AI solutions in industries such as finance, healthcare, robotics, and automation. By the end of the program, you’ll have a strong portfolio demonstrating practical AI engineering expertise.

How long does the Certified Agentic AI Engineer certification take to complete?

The duration of the Certified Agentic AI Engineer course typically ranges from 8 to 16 weeks, depending on the learning mode—full-time, part-time, or online. Each module is designed to gradually build skills, starting with foundational AI and programming concepts, followed by advanced topics like autonomous AI systems, agentic AI applications, and practical project implementation. This flexible timeline allows learners to balance the course with work or studies, giving enough time to practice hands-on labs, complete real-world projects, and prepare for industry-ready certification.

Can beginners enroll in the Certified Agentic AI Engineer program?

Yes. The Certified Agentic AI Engineer course is beginner-friendly. It starts with the basics of programming, AI principles, and data handling before moving to advanced agentic AI applications, autonomous systems, and machine learning models. Beginners are supported through structured lectures, interactive sessions, and hands-on labs to ensure they understand concepts fully. This approach makes the course accessible for students, professionals, or anyone looking to enter the AI domain, even without prior technical or AI experience.

What types of projects are included in the Certified Agentic AI Engineer course?

The Certified Agentic AI Engineer course emphasizes real-world project experience. Students work on projects like designing autonomous AI agents, building predictive analytics models, implementing machine learning pipelines, and creating AI-driven automation solutions. These projects replicate industry scenarios, giving learners practical exposure to challenges they’ll face in AI roles. By completing these projects, students develop a strong portfolio that showcases their ability to solve complex problems, use modern AI tools, and apply theoretical knowledge in professional settings.

Is the Certified Agentic AI Engineer course suitable for career changers?

Absolutely. Professionals looking to transition into AI careers can benefit greatly from this program. The Certified Agentic AI Engineer course provides foundational AI knowledge, hands-on labs, and mentorship that help career switchers build confidence in AI, machine learning, and autonomous systems. It’s particularly helpful for individuals from analytics, engineering, or IT backgrounds, but even non-technical learners can successfully upskill, opening doors to roles like AI Engineer, Machine Learning Engineer, AI Developer, and Automation Specialist.

How does the Certified Agentic AI Engineer certification improve job prospects?

The Certified Agentic AI Engineer certification enhances employability by validating both theoretical knowledge and practical expertise in AI. Completing the course demonstrates your ability to develop autonomous AI systems, work with machine learning frameworks, and solve real-world problems. Employers recognize this certification as proof of industry-ready skills, increasing your chances of securing roles in AI, automation, data science, and intelligent systems across diverse sectors, including healthcare, finance, technology, and manufacturing.

Are there hands-on labs and tools in the Certified Agentic AI Engineer course?

Yes, The Certified Agentic AI Engineer program includes extensive hands-on labs, cloud-based exercises, and practical assignments. Learners gain experience with AI frameworks, programming tools, data modeling platforms, and autonomous system simulations. This approach ensures that students don’t just learn theory—they actively implement AI solutions, experiment with models, and understand the technical workflow required in professional AI engineering projects, building real-world competence and confidence.

Can working professionals take the Certified Agentic AI Engineer course?

Yes. The Certified Agentic AI Engineer course is designed for working professionals who want to upskill without interrupting their careers. It offers flexible schedules, online learning options, and recorded lectures so learners can study at their own pace. Weekend classes, project guidance, and mentorship make it easier to balance work, learning, and hands-on practice, ensuring professionals gain practical AI skills and certification without compromising their job responsibilities.

Will I get a recognized certificate after completing the Certified Agentic AI Engineer course?

Yes, Upon successful completion, learners receive the globally recognized Certified Agentic AI Engineer certificate from RACE. This certification validates your knowledge and practical expertise in agentic AI, machine learning, autonomous systems, and intelligent automation. It enhances your professional profile, helps in career growth, and is highly valued by recruiters in AI-focused roles across industries, proving your readiness to take on real-world AI engineering challenges.

How does the Certified Agentic AI Engineer course stay updated with AI industry trends?

The Certified Agentic AI Engineer curriculum is regularly updated to include the latest AI tools, frameworks, and autonomous system technologies. It incorporates emerging trends in machine learning, deep learning, and intelligent automation. This ensures learners stay relevant in a fast-evolving AI industry, gain exposure to contemporary best practices, and acquire skills that match the requirements of modern AI engineering roles, keeping them ahead in their careers.

What makes the Certified Agentic AI Engineer course industry-relevant?

The Certified Agentic AI Engineer course is designed with inputs from AI industry experts to ensure practical relevance. Learners work on projects simulating real-world business problems using autonomous AI systems, machine learning models, and intelligent automation frameworks. By focusing on applied AI rather than just theory, the course prepares students for the current demands of AI engineering roles in finance, healthcare, robotics, and IT sectors.

How does the Certified Agentic AI Engineer course help in mastering autonomous AI systems?

This course teaches the design, development, and deployment of autonomous AI agents. Learners gain hands-on experience with intelligent systems capable of self-learning and decision-making. The curriculum covers planning, reasoning, and problem-solving in AI environments, ensuring students understand not just how to code models, but also how to build autonomous systems that operate independently in real-world scenarios.

What advanced machine learning techniques are taught in the Certified Agentic AI Engineer program?

Students learn advanced techniques including supervised, unsupervised, and reinforcement learning, along with neural networks and deep learning applications. The course emphasizes implementing these models for practical use cases, such as predictive analytics, AI-driven automation, and agentic decision-making systems, enabling learners to create robust, industry-ready AI solutions.

Can non-technical professionals succeed in the Certified Agentic AI Engineer course?

Yes. The course is structured to accommodate learners from diverse backgrounds. It begins with foundational programming, data analysis, and AI concepts, gradually moving to complex AI engineering tasks. Mentorship, interactive labs, and project-based learning ensure non-technical learners can gain confidence, build skills, and successfully apply AI techniques in real-world projects.

How do hands-on labs enhance learning in the Certified Agentic AI Engineer course?

Hands-on labs are a core part of the Certified Agentic AI Engineer curriculum. Learners practice coding, model training, AI agent simulation, and autonomous system deployment in cloud-based environments. These exercises bridge the gap between theory and practical implementation, helping students develop problem-solving skills, technical proficiency, and a portfolio of real AI projects that impress recruiters.

What role does mentorship play in the Certified Agentic AI Engineer program?

Mentorship is key to mastering agentic AI. Experienced AI engineers guide students through project challenges, provide career advice, and offer insights into emerging trends in AI, automation, and machine learning. This personalized guidance ensures learners understand concepts deeply, troubleshoot effectively, and develop skills that align with industry expectations.

How does the Certified Agentic AI Engineer certification improve career opportunities?

The certification validates hands-on experience and expertise in autonomous AI systems, agentic AI frameworks, and machine learning models. Employers recognize it as proof of practical AI engineering skills, increasing opportunities in roles such as AI Engineer, Machine Learning Engineer, AI Developer, and Intelligent Systems Specialist across industries like technology, finance, healthcare, and manufacturing.

Are there real-world AI projects included in the Certified Agentic AI Engineer course?

Yes. The course includes multiple real-world projects, such as developing autonomous AI agents, predictive analytics tools, and AI automation workflows. These projects mirror industry challenges, giving students practical experience in solving complex problems while building a portfolio that demonstrates applied skills to potential employers.

Can working professionals balance the Certified Agentic AI Engineer course with their jobs?

Absolutely. The course offers flexible learning modes including online sessions, recorded lectures, weekend classes, and self-paced labs. This structure allows working professionals to gain AI skills, complete projects, and earn the Certified Agentic AI Engineer certification without disrupting their professional responsibilities.

How is the Certified Agentic AI Engineer course updated to match AI industry trends?

The curriculum is continuously refreshed to include the latest AI frameworks, autonomous system technologies, and emerging practices in machine learning and agentic AI. Students gain exposure to current tools and methodologies used in industry, ensuring they acquire skills that are relevant, up-to-date, and aligned with the evolving demands of AI engineering roles worldwide.

About REVA Academy for Corporate Excellence (RACE)

REVA Academy for Corporate Excellence (RACE) focuses on shaping future-ready leaders for industry through carefully structured, practice-oriented programs. It offers specialized, techno-functional and interdisciplinary courses tailored for working professionals, using a mix of social, experiential, and project-based learning to build real-world capabilities. Each program is thoughtfully planned and delivered by experienced corporate leaders and trainers, who bring in the latest tools, technologies, and skill sets aligned with emerging industry needs.

REVA University

REVA University in Bangalore is among the city’s most respected and forward-looking institutions, known for its vibrant green campus and a culture that welcomes students from all over India and abroad. The 45-acre REVA campus offers students a dynamic learning space which includes contemporary classrooms and fully equipped laboratories and multiple libraries and digital learning platforms. The university maintains its core mission of academic excellence by offering demanding coursework which students complete while participating in sports activities and cultural events and working on industry-related projects. Students consistently highlight the helpful and knowledgeable faculty, strong placement support, and real-world focus of the teaching methods.

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REVA Academy for Corporate Excellence (RACE)

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Frequently Asked Questions

What makes REVA Academy a good choice for the Certified Agentic AI Engineer course?

How does the college support students enrolled in the Certified Agentic AI Engineer certification?

What kind of learning atmosphere and resources does the college offer for AI-focused learners?

What does the Certified Agentic AI Engineer course curriculum include?

What is the duration of the Certified Agentic AI Engineer certification course?

Who can apply for the Certified Agentic AI Engineer certification at RACE?

What career opportunities are available after completing the Certified Agentic AI Engineer certification?

Is prior programming or AI knowledge required for the Certified Agentic AI Engineer course?

Can non-technical students enroll in the Certified Agentic AI Engineer program?

Is there an entrance exam for the Certified Agentic AI Engineer course?

What skills will I gain from the Certified Agentic AI Engineer course?

How long does the Certified Agentic AI Engineer certification take to complete?

Can beginners enroll in the Certified Agentic AI Engineer program?

What types of projects are included in the Certified Agentic AI Engineer course?

Is the Certified Agentic AI Engineer course suitable for career changers?

How does the Certified Agentic AI Engineer certification improve job prospects?

Are there hands-on labs and tools in the Certified Agentic AI Engineer course?

Can working professionals take the Certified Agentic AI Engineer course?

Will I get a recognized certificate after completing the Certified Agentic AI Engineer course?

How does the Certified Agentic AI Engineer course stay updated with AI industry trends?

What makes the Certified Agentic AI Engineer course industry-relevant?

How does the Certified Agentic AI Engineer course help in mastering autonomous AI systems?

What advanced machine learning techniques are taught in the Certified Agentic AI Engineer program?

Can non-technical professionals succeed in the Certified Agentic AI Engineer course?

How do hands-on labs enhance learning in the Certified Agentic AI Engineer course?

What role does mentorship play in the Certified Agentic AI Engineer program?

How does the Certified Agentic AI Engineer certification improve career opportunities?

Are there real-world AI projects included in the Certified Agentic AI Engineer course?

Can working professionals balance the Certified Agentic AI Engineer course with their jobs?

How is the Certified Agentic AI Engineer course updated to match AI industry trends?

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