• Write and debug simple programs independently.
• Use functions, classes, and APIs in a modular way.
• Work with REST APIs and handle basic data exchange using JSON.
• Understand how client–server web applications work.
• Build Web applications using any of the frameworks such as Flask, Spring Boot, Node.js, or ASP.NET.
• Handle data from files, databases, or APIs.
• Use Git/GitHub or similar tools for version control (preferred)

• Filling out the online application form.
• Submitting the self-declaration and accepting the terms and conditions.Paying the program fee.
• Admission is confirmed once the payment is successfully completed.

The program includes 75 learning sprints, totalling 300 hours of guided learning and practice.

Typical batch durations:

• 4 sprints per week → around 19 weeks (4 days/week).
• 3 sprints per week → around 25 weeks (3 days/week).

Each sprint includes:

• 2 hours of live mentor-led session (sync).
• 2 hours of self-paced practice (async).

Learners spend about 70% of total time on hands-on work.

The curriculum bridges software engineering and applied AI system development. Learners move from building clean APIs to designing intelligent, autonomous agents.

Courses included:

• Python for AI-Embedded Applications
• Build and Deploy Intelligent Conversational Agents
• Build RAG-Based Systems
• Build Autonomous Multi-Agent Systems
• Capstone Project – Engineer an Autonomous Agentic AI System (SLO-Bound)

The program follows NIIT’s Mastery Learning methodology, which focuses on building one skill at a time through structured, hands-on sprints.

Each sprint includes:

• Concept introduction through live mentor sessions.
• Individual practice and assignments.
• Review and feedback from mentors.
• Refinement and re-submission of work.

Learners spend around 4 hours per sprint, with most of the time devoted to hands-on application and reflection.

Yes. The program concludes with a capstone project that integrates everything learned. Learners design and build a real Agentic AI system, for example:

• An assistant that answers company policy queries.
• A customer support agent that handles basic tickets.
• A dashboard assistant that summarizes data.

After completing the program, learners will be able to:

• Write clean, modular code in Python and build APIs.
• Develop conversational AI agents integrated into web applications.
• Build RAG (Retrieval-Augmented Generation) systems that use organizational data.
• Design and orchestrate multi-agent systems that plan, act, and collaborate.
• Showcase a portfolio of working AI projects demonstrating readiness for applied AI development roles.

Yes. Placement assistance is available for eligible learners who:

• Complete the program with at least 70% score.
• Hold a regular graduation degree.
• Reside in India.

Placement support includes:

• Up to 3 interview opportunities within 120 days for learners with 6 months–5 years of experience.
• Career guidance for learners with 5+ years of experience.
• Access to placement preparation sessions and mentor guidance.

NIIT provides job opportunities; final selection depends on learner performance and employer requirements.

Learners can pay the fee:

• In full (with available concessions),
• In easy installments, or
• Through third-party lenders offering EMI options.

Loan approval depends on lender eligibility and documentation. NIIT does not guarantee loan approval.

Taking a loan is entirely optional. Loans are facilitated by third-party lenders, and NIIT has no role in the process. Applicants must review the loan terms carefully, including EMIs, interest rates, processing fees, and repayment schedules. All EMI payments and related queries must be handled directly with the lender.

Documents may include:

• PAN Card and Aadhaar Card
• Last 6 months’ bank statements
• 3 months’ salary slips (for employed learners) or ITR proof (for self-employed)
• Co-applicant details if the learner is under 21 years of age.

Incomplete documentation can result in loan rejection.

Hardware:

• Laptop/desktop with Intel i3 or AMD Ryzen 3 (or higher).
• Minimum 8 GB RAM and 50 GB free disk space.
• Functional webcam and microphone.

Software:

• Windows 10/macOS (or higher).
• Latest Chrome/Edge browser, MS Office or equivalent, and a PDF reader.

Internet:

• Stable Wi-Fi or broadband connection (minimum 5 Mbps).
• Backup connection recommended.

Yes. Learners receive a Certificate of Completion after fulfilling these conditions:

• 90% or higher attendance.
• 70% or higher marks in assessments.
• Full fee payment as per schedule.