Executive Program In Applied AI & Agentic AI
Job Assistance
For Pro Plan
08-months
Duration
Online / Offline
Delivery Mode
English
Language
Beginner to Intermediate
Level
200+ Placed
Live Training
1:1 Mentorship
EMI Available
Everything You Get in This Course
Industry-Focused Projects
- 5+ real-world projects
- Python • Machine Learning • Tableau
- Build job-ready portfolios
- Hands-on problem solving
- Practical exposure to industry scenarios
Career & Placement 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 & Recognition
- Industry-recognized certification
- Proof of skill & course completion
- Shareable digital certificate
- Adds value to your resume
- Valid for career growth
Peer Learning & 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
Perfect For Data Science Career Starters
College
Students
Build projects for campus
placements.
Career
Switchers
No coding experience
needed – start from basics.
Working Professionals
Weekend batches so you can
up-skill while working.
Fresh
Graduates
Job‐ready in 8 months with a
strong portfolio.
Why Start2Skill Data Science > Others
Start2Skill
TOPIC 01
Live mentors with 1:1 guidance from 5+ years industry experts
TOPIC 02
Hands-on real projects with practical, job-ready skills
TOPIC 03
Dedicated placement help with structured interview preparation
TOPIC 04
Flexible batches (weekends + online) with job guarantee
VS
Mentorship
Real Projects
Career Support
Flexibility & Assurance
Others
TOPIC 01
Live mentors with 1:1 guidance from 5+ years industry experts
TOPIC 02
Recorded videos with limited or no real-world projects
TOPIC 03
Generic resume templates, no placement support
TOPIC 04
Fixed schedules with no job guarantee
Meet Your Experts Instructors
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.
What Student Say
How You'll Learn" 4-Step Journey
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
Who are these courses for?”
These courses are designed for:
Students and freshers who want job-ready skills
Working professionals looking to upskill or switch careers
Freelancers who want to offer services confidently
Business owners who want to understand and manage digital work
No prior experience is required for beginner tracks—advanced tracks may expect basic familiarity.
Do you provide placement support?
Yes, we provide placement support such as:
Resume + portfolio review
Interview preparation (mock interviews + common questions)
Job/internship guidance and referral support (where available)
LinkedIn profile optimization
Note: Placement depends on your performance, attendance, project quality, and market conditions. We support you through the process, but we don’t guarantee jobs.
What is the duration and schedule?
Duration and schedule vary by course, but typically:
Course duration: 4–12 weeks (depending on course level)
Class frequency: 3–5 sessions per week
Session length: 60–120 minutes per class
Weekend batches: Available for working professionals
After enrollment, you’ll receive the full batch calendar and timeline.
Are classes online or offline?
We offer online classes (live instructor-led) and offline classes (at our center), depending on your chosen batch and location.
Some courses may also be available in hybrid mode (offline + recorded support).