Professional Certificate Program In Applied AI & Agentic AI
Carrer Support
Duration
Delivery Mode
Language
English
Level
Beginner to
Intermediate
200+ Placed
Live Training
1:1 Mentorship
EMI Available
Everything You Get in This Course
Industry-Focused Projects
- 5+ real-world projects
- Build job-ready portfolios
- Hands-on problem solving
- Practical exposure to industry scenarios
Career Support
- Resume & LinkedIn profile building
- Job placement assistance
- Mock interviews & interview prep
- Career guidance from experts
- Opportunities to showcase your skills
Live Instructor-Led Training
- Live interactive sessions
- Weekday & Weekend batches
- Recorded sessions for revision
- 24×7 mentor support
- Doubt-solving & guided learning
Hands-On Learning
- Practical hands-on projects
- Real-world case studies
- Data-driven problem solving
- Industry-relevant assignments
- Learn by doing approach
Certification
- Industry-recognized certification
- Proof of skill & course completion
- Shareable digital certificate
- Adds value to your resume
- Valid for career growth
Networking
- Peer-to-peer learning environment
- Collaborate on projects
- Community discussions & support
- Networking with like-minded learners
- Knowledge sharing sessions
Capstone Project & Mentorship
- Final capstone project
- Apply all learned concepts
- Guided by industry mentors
- Real business problem solving
- Career-focused project experience
Master these Tools
Course Curriculum
1.Foundations & Data Engineering
- Python OOP
- Pandas advanced
- SQL joins, CTEs, and window functions
- Feature engineering
- Scaling and encoding
- Pipeline automation
- EDA methodology
- Matplotlib and Seaborn
- Git and GitHub
- Business communication
- Stakeholder presentations
2.Machine Learning & Deep Learning
- Python OOP
- Pandas advanced
- SQL joins, CTEs, and window functions
- Feature engineering
- Scaling and encoding
- Pipeline automation
- EDA methodology
- Matplotlib and Seaborn
- Git and GitHub
- Business communication
- Stakeholder presentations
3.Mlops & Production Systems
- AWS services: S3, IAM, VPC, Glue, Athena, Redshift
- SageMaker training and hyperparameter optimization (HPO)
- MLflow experiment tracking
- Docker containerization
- FastAPI model serving
- A/B testing
- Model drift detection
- Monitoring dashboards
- Fairness and bias evaluation
- Governance and audit processes
- ROI calculation
- Stakeholder communication
4.LLM Foundations & Rag Systems
- LLM architecture and scaling laws
- OpenAI, Anthropic, and Google APIs
- Token economics and cost optimization
- Prompt engineering (few-shot, ReAct)
- Embeddings and similarity search
- Vector databases (Pinecone, Weaviate, Chroma)
- Hybrid search techniques
- Chunking strategies
- Retrieval-augmented generation (RAG) patterns
- Query rewriting
- Multi-hop reasoning
- Citation and attribution
- Retrieval governance
- RAG evaluation methods
5.Agent Frameworks & Orchestration
- Agent types and capabilities
- ReAct pattern
- Tool use and function calling
- Memory systems
- Planning and goal decomposition
- LangChain: chains, agents, tools, memory
- LangGraph: state management, routing, supervision
- LlamaIndex: indices, routers, multi-document handling
- AutoGen: collaboration and consensus
- CrewAI: production workflows and delegation
- Telemetry and observability
- Service-level objectives (SLOs) and error budgets
6.Fine-Tuning, Scale & Production
- Agent types and capabilities
- ReAct pattern
- Tool use and function calling
- Memory systems
- Planning and goal decomposition
- LangChain: chains, agents, tools, memory
- LangGraph: state management, routing, supervision
- LlamaIndex: indices, routers, multi-document handling
- AutoGen: collaboration and consensus
- CrewAI: production workflows and delegation
- Telemetry and observability
- Service-level objectives (SLOs) and error budgets
Who Can Enroll in Our Courses
Future-Ready Students
Get ahead in campus placements by mastering in-demand AI and tech skills.
Aspiring Tech Professionals
No prior experience required — learn step-by-step from core fundamentals.
Working Professionals
Flexible schedules so you can upskill and grow while working full-time.
Fresh
Graduates
Become job-ready with hands-on projects and an industry-focused portfolio.
Enquire Now
Fees Structure
Total Amount:- 74,999/-
EMI Options
| No Cost EMI | Standerd EMI |
|---|---|
| 13164/ Month (For 6 Month) | 3744/ month (For 24 Month) |
Fees Structure
Meet Your Expert Mentors
Rishu Raj Verma
Ashutosh Sharma
Bhawana aggarwal
Pawan Singh
Sandeep Sharma
Dilip Andrew
Joan Sebastian Cruz García
Mrinalini Agarwal Singh
Ashutosh Sharma
Rishu Raj Verma
Bhawana aggarwal
Get certified by Start2Skill
Earn industry-backed
Recognition and Career Opportunities
Industry-Endorsed Certificate
Get certified upon course completion with a recognized credential, validating your skills in Data Science andBusiness Intelligence.
Strong Peer Network
Become part of a thriving community of learners and
professionals from top companies.
Recognized Across Industries
Our certification is trusted by hiring managers across domains—ideal for career switchers and freshers alike.
Industry-Ready Success Stories
The Path to Your Tech Career
Talk to a Program
Advisor
Book a free 1:1 counselling call
Enroll in the Right
Course
Get a plan matched to your goals & level.
Learn with Live + Hands-on Projects
Attend live classes and build r
Get Career Guidance & Placement Support
Resume, interviews & job referrals.
Frequently Asked Questions
What is the difference between Generative AI and Agentic AI in this program?
While Generative AI focuses on creating content (text, images, code), Agentic AI involves building autonomous systems that can reason, plan, and execute tasks using external tools. This course transitions you from simple prompt engineering to Workflow Engineering, where you learn to build “AI Agents” that can operate independently to solve complex business problems.
Which frameworks and tools are covered in the Agentic AI certification?
Our curriculum is deeply technical and hands-on, covering industry-leading orchestration frameworks like LangChain, CrewAI, and AutoGen. You will also master Vector Databases (such as Pinecone or ChromaDB) for RAG (Retrieval-Augmented Generation), as well as integration tools like n8n and Flowise to build production-ready AI swarms and multi-agent systems.
Do I need a coding background to enroll in the Applied AI & Agentic AI course?
While a basic understanding of logic is helpful, we provide a Python for AI foundation module to get you up to speed. The program is designed for both developers looking to specialize and professionals (Product Managers, Analysts) who want to build “Low-Code” agentic workflows using visual builders and API integrations.
What real-world projects will I build during the program?
You will complete multiple capstone projects, including building a Custom AI Sales Agent that qualifies leads via CRM, an Automated Research Swarm that scrapes and analyzes market data, and a Multi-Agent DevOps Assistant. These projects ensure you leave with a portfolio that demonstrates your ability to deploy AI in a production environment.
How does Agentic AI impact career opportunities in 2025-2026?
As companies move beyond basic chatbots, the demand for AI Automation Specialists and Agentic AI Engineers is skyrocketing. This certification prepares you for the next wave of the AI economy, where the “Workflow Architect” role—the person who designs how AI agents interact with human teams—is becoming one of the highest-paying positions in tech.
Does the Start2Skill Professional Certificate include placement support?
Yes. Beyond technical training, we offer Career Excellence Support, which includes AI-optimized resume building, LinkedIn profile branding, and mock interviews with AI practitioners. We also provide access to our 350+ hiring partners to help you transition into high-growth AI roles across industries like Finance, Healthcare, and Tech.
Why is "Applied AI" better than a theoretical AI degree?
Academic degrees often focus on the “How it works” (Math/Theory), whereas our Applied AI approach focuses on “How to use it to drive ROI.” By focusing on deployment, scalability, and cost-optimization of LLMs, our graduates are ready to deliver immediate value to organizations on Day 1, rather than spending months learning outdated models.