AI Engineering
Professional
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Join India's most hands-on Professional Certification in AI Program, where you don't just learn AI but build assistants, agents, and automation systems across real business workflows in 8 weeks.
1.5 Lakh+
Aspirants Mentored
350+
Hiring Partners
40+
Industry Mentors
Abhay
dentsu
Pankhuri
myAlfred
Lakshit
Aleph INDIA
Laxmi
Alibaba
Gauri
dentsu
Priya
myAlfred
Yogesh
Alibaba
Ahmad
KeyFormics
Abhishek
Aleph INDIA
Riya
Google
Arjun
Microsoft
Sneha
Amazon
Abhay
dentsu
Pankhuri
myAlfred
Lakshit
Aleph INDIA
Laxmi
Alibaba
Gauri
dentsu
Priya
myAlfred
Yogesh
Alibaba
Ahmad
KeyFormics
Abhishek
Aleph INDIA
Riya
Google
Arjun
Microsoft
Sneha
Amazon
Milestone
Nine
Duration
8 Weeks
Mode
Online
Live Sessions
64+ hrs
Projects
8+
Placement Support
Milestones
Nine
Duration
8 Weeks
Mode
Online
Live Sessions
64+ hrs
Projects
8+
Placement Support
0%
Active Focus
Not Started
1
Prompt Engineering
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Role-based prompting
(marketer, analyst, founder modes)
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Structured outputs
(tables, JSON, SOPs, workflows)
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Few-shot prompting
for consistent results
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Chain-of-thought
for reasoning tasks
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Prompt frameworks
for content, analysis, decisions
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Building reusable
prompt libraries
2
Build Your First AI Micro-System
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Thinking in workflows
(input → processing → output)
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Creating chained prompts
(multi-step logic)
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Building content +
analysis pipelines
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Using AI memory manually
(context reuse)
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Setting up personal
AI workspace (tools + structure)
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Creating your first
reusable AI system
1
Assistant Architecture
settings
System Rules & Custom Instructions
structuring robust base behaviors
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Persona & Tone Engineering
replicating brand voice and domain expertise
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Safety Guardrails & Constraints
handling edge cases and jailbreak attempts
2
Context & Memory
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Context Optimization
optimizing prompt layouts and token usage
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Session State Management
preserving user parameters across active sessions
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Short & Long-Term Memory
integrating database histories with prompt workflows
1
AI Agents: Foundations & Workflows
balance
AI Agent vs Chatbot
defining autonomy, loops, and self-correction
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Tools, Systems & Products
how to design full-featured autonomous systems
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Workflow Mapping
pinpointing high-leverage agent triggers in operations
2
Build Agents (n8n & No-Code)
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Trigger → Action → Loops
n8n and Make core visual execution logic
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Tool-Calling Integrations
wiring agents to standard REST APIs & databases
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Error Handling & Fallbacks
building resilient logic for API failures
3
Agent Architecture & MCP Systems
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MCP Architecture
implementing model context protocol (MCP) servers
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Short & Long-Term Memory
handling state persistence and vector storage
precision_manufacturing
Multi-Agent Collaboration
organizing subagents and supervisor patterns
1
AI Video, Avatars & Voice Systems
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AI Avatar Videos
high-converting avatars (HeyGen / Synthesia)
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Voice Cloning & Translation
highly styled speech generation (ElevenLabs)
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AI Video Generators
automating faceless video workflows with Runway & Pika
1
AI Ad Systems & Creative Testing
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Systematic Creative Ad Strategy
optimizing copy, hooks, and video formats using AI
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Hook Generation Frameworks
crafting high-CTR openers with systematic scripts
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AI-driven A/B Creative Testing
setting up low-cost feedback loops for visual assets
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Smart Lead Qualification
using conversational AI agents to pre-qualify and score
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Landing Page Integration
hooking webhooks directly into context qualification engines
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Automated Dynamic Personalization
customizing pitches using buyer parameters in real-time
2
The Ultimate AI Marketing Execution Machine
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Multi-Channel Pipelines
knitting content, ads, and lead systems together
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Outreach & Engagement Loops
orchestrating WhatsApp & email context engines
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Scaling & Optimization Systems
using metric aggregation dashboards to refine parameters
1
Lead Qualification & Scoring Systems
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Lead Scoring Frameworks
measuring buyer intent, interaction density, and target fit
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AI-driven Qualification Engines
classifying accounts and filtering inbound signals programmatically
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Dynamic Lead Segmentation
routing high-intent prospects to direct high-touch automations
1
AI Customer Support Systems
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RAG-based Support Chatbots
engineering highly contextual custom agents grounded on internal docs
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FAQ & Knowledge Automations
classifying incoming queries and serving instant verified resolutions
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Multi-Channel Routing Loops
categorizing and assigning complex tickets to appropriate human queues
2
AI-Driven HR & Talent Operations
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Resume Screening & Scorecards
extracting profiles and evaluating alignment via strict criteria models
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Interview Automations
organizing calendar triggers and compiling candidate briefings
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Evaluations & Onboarding Loops
summarizing candidate performances and automating initial setups
3
AI Financial Analytics & Reporting
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Financial Data Analysis
crunching transactional logs and categorizing expense reports automatically
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Automated Report Compiling
generating financial digests and compiling summaries instantly
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Trend Forecasting
projecting runway metrics and tracking operational burn rates
1
AI Product Building & Deployment
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Packaging Workflows
bundling Python and database microservices into production-grade systems
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Sleek Interface Deployments
publishing beautiful interactive responsive client apps under standard URLs
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Monitoring & Optimization
tracking runtime tokens, API latency metrics, and error telemetry logs
1
System Specification & Assistant Layer
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Use Case Design & Specs
defining target architecture mapping, workflow variables, and database schemas
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Assistant & Context Foundation
building indexed vectors, conversational memory caches, and custom contextual models
2
Content Engine & Agentic Systems
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UGC & Scraper Infrastructures
engineering lead-generation loops, social automation layers, and scraper triggers
precision_manufacturing
Multi-Agent Systems & Routing
programming self-correcting agent chains, tool definitions, and contextual memory
3
AI Operations & Product Release
timeline
Sales & AI Ops Automations
orchestrating automated closing pipelines, screeners, and support classifiers
dashboard
Hosted Web Dashboard & Demo
packaging the unified project into a premium live-hosted web interface and video walkthrough
Frequently Asked Questions
Everything you need to know about the AI Engineering track.
No, this program starts from absolute foundations and covers zero-code tools as well as basic Python API integrations.
Live interactive classes are held on weekends, with recorded access and mentor support available 24/7.
Alumni Network
Our Alumni Work at the Best Companies
Placed across 500+ companies worldwide.
AmazonAmazon0+
Companies
₹0L+
Avg. Package
0%
Placement Rate