Eligibility Criteria for techcadd's AI Agents & Automation Course

Agentic AI is one of the most in-demand skills in every AI-driven industry, and this AI Agents & Automation course is built to be accessible. There is no entrance test and no restrictive prerequisite — the track opens at fundamentals and builds from there.

The curriculum covers AI fundamentals, Generative AI, Large Language Models, prompt engineering, agent architecture, tool calling, function calling, API integration, agent planning, memory and context management, retrieval-augmented generation, vector databases, workflow automation, multi-agent systems, evaluation, human-in-the-loop AI, and responsible AI. Concepts come first, and programming is treated as a useful skill for the build rather than a barrier to entry.

Learners build real-world projects including an AI research agent, a document Q&A assistant, a customer support agent, a business automation agent, and a capstone agentic AI project. The programme is fully project-driven, and beginners and experienced developers progress through the same path at different depths. You can also review our Agentic AI course in Amritsar for related details.

The Agentic AI course is built for a wide range of learners. Here is exactly who can join, and what each group typically gets out of it:

12th Pass Students

• Science, Commerce, or Arts backgrounds all qualify

• Start with AI fundamentals before college

• Programming can be added later if you move toward AI development

College Students

• BCA, B.Tech, BSc-IT, MCA, MBA, BBA and other programs

• Use practical AI skills for college projects, internships, and research

• Students from GNDU, Khalsa College, BBK DAV College and nearby institutes

Python Developers

• Particularly well positioned, since Python is widely used for AI applications

• Move from scripting toward AI-powered systems

• Connect LLMs with APIs, tools, databases, and automation workflows

Software Developers

• Integrate AI into existing applications and build new AI-powered products

• Topics include APIs, tool calling, structured outputs, RAG, memory, and evaluation

AI & Machine Learning Students

• Expand from model training into LLM-based applications

• Learn how existing models connect to tools, knowledge sources, and workflows

Working Professionals

• IT, marketing, HR, sales, operations, finance, education, customer support

• Apply agents to research, reporting, document processing, and internal knowledge

Freelancers

• Add AI-powered content workflows, research systems, and automation to your services

Entrepreneurs & Business Owners

• Explore agents for lead qualification, customer communication, research, and reporting

AI Enthusiasts

• Move beyond chatbot usage into structured AI workflows and agent design

No Prior Agentic AI Experience Required

• Start with Generative AI and LLM fundamentals

• Programming experience lets you go deeper; beginners first understand how agentic systems work

Each learner progresses at a depth that matches their background. The programme is structured to take beginners from fundamentals to a working agent, and developers from scripting to production-style AI systems. You can also explore our Agentic AI course in Amritsar for the full curriculum.

Beyond background, the practical requirements for the Agentic AI course are simple. Here is what the programme checks for before you enrol:

• Equipment — A laptop or desktop with a stable internet connection, for classroom or live-online batches

• Time commitment — Able to attend regularly across the 3-month programme, in a morning, evening, or weekend batch

• Practice time — About 6–8 hours a week outside class for lab tasks and project work

• Basic computer skills — Comfort with files, browsers, and basic software is enough to start

• Basic English reading — The tools and their documentation are in English

• Willingness to finish — Completing the lab task before the next class is what makes the portfolio work

• No coding requirement — Programming is useful for the build but not a prerequisite to join

• No age limit — What matters is finishing the programme, not when you start it

The programme runs across 3 months with morning, evening, and weekend batches, and every module closes in a reviewable artefact. By the end you hold a certificate, a portfolio, and the ability to talk through your own decisions in an interview. You can also review our Agentic AI course in Amritsar for batch timings and fees.

Explore the eligibility criteria for techcadd's AI Agents & Automation course and build practical knowledge in prompt engineering, tool calling, APIs, RAG, agent architecture, multi-agent systems, and automation. This programme is designed for learners who want to build real AI agents, work with real tools, and create a job-ready portfolio.

The course combines classroom training with guided projects, capstone work, portfolio development, and placement support. Learners get step-by-step guidance from experienced trainers and work on practical assignments that mirror industry requirements — beginners at concept depth, developers at implementation depth. You can also join our Agentic AI course in Amritsar to expand your AI expertise.

Whether you are a student, a working professional, a developer, or someone looking to switch careers, this course gives you the foundation and confidence to step into Agentic AI developer, Generative AI developer, and AI automation roles. Enrollment is open now with limited seats per batch.

Stay updated with the latest tips, tutorials, and industry insights on AI agents and automation. Our blog covers practical guides on prompt engineering, tool calling, function calling, APIs, RAG, vector databases, multi-agent systems, evaluation, and real-world agent project ideas.

These articles are written by our trainers and industry experts to help learners revise concepts, explore new frameworks, and keep pace with current agentic AI trends. Whether you are a beginner or an experienced professional, the blog offers valuable resources to strengthen your skills.

New posts are published regularly and cover real-world examples, project ideas, and interview questions. Bookmark this section and check back often for fresh content on AI agents and automation. For related learning, see our Agentic AI course in Amritsar.