skAILe programme

    PGP in Applied AI &
    Machine Learning

    A 16-month postgraduate programme preparing future-forward deployed engineers to build and deploy intelligent AI systems in the real world.
    Format

    Full-time, Offline

    Immersive on-campus experience

    Duration

    16 Months

    12 months campus learning + 4 months industry internship

    Eligibility

    BCA / B.Tech / Any Graduate with coding background

    For graduates and professionals with 0-5 years of experience

    Campus

    Hyderabad

    India's AI and tech powerhouse, surrounded by HITEC City, R&D labs and a booming AI startup scene

    Programme video preview

    Watch Programme Video

    Coming soon

    The skAILe Edge in Applied AI & Machine Learning

    A builder-first approach to AI-native engineering education

    200+

    Practitioners

    Courses taught by AI engineers and CTOs from

    Google
    Microsoft
    NVIDIA
    OpenAI
    100%

    Hands-on Curriculum

    Build real AI systems with live briefs from

    Razorpay
    Flipkart
    Swiggy
    HF
    100+

    Recruiters

    Get hired by top employers, including

    Meta
    Amazon
    NVIDIA
    Microsoft
    25+

    AI & ML Tools

    Learn the modern AI stack, including

    PyTorch
    LangChain
    Vertex
    Pinecone
    10+

    Global Immersion

    Silicon Valley, the global AI capital

    OpenAI
    NVIDIA
    Stanford
    Google
    Curriculum

    Learn to Build Cutting-Edge AI Solutions

    4 terms. 4 production AI systemsEvery term, build skills across Python and machine learning foundations, agentic AI and RAG systems, and MLOps at scale.
    Term 1Build

    Python, Data & AI Foundations

    Build the technical foundation to work with AI systems, data pipelines, APIs, and modern ML workflows, even with no prior coding background.

    Highlights

    01Write Python code to process real-world datasets, automate workflows, and call live AI APIs
    02Query datasets with SQL, visualise trends, and apply statistics to make data-driven decisions
    03Ship your first AI chatbot using prompt engineering and a production LLM API
    Python, Data & AI Foundations
    Courses Covered
    Python ProgrammingMaths & Statistics for MLSQL & Data AnalysisData VisualisationPrompt EngineeringLLM Fundamentals
    Term 1 of 4skAILe Curriculum
    Term 2Apply

    Machine Learning & AI Agents

    Learn how intelligent systems learn from data, make predictions, reason through tasks, and interact autonomously with tools and workflows.

    Highlights

    01Train supervised and unsupervised ML models on real datasets and evaluate performance rigorously
    02Understand how modern AI agents plan, reason, manage memory, and execute tasks autonomously
    03Build multi-step AI agents connected to APIs, databases, search systems, and external tools
    Machine Learning & AI Agents
    Courses Covered
    Supervised MLUnsupervised ML & ClusteringAgent ArchitectureTool-Using AIMulti-Agent SystemsML Model Evaluation
    Term 2 of 4skAILe Curriculum
    Term 3Build

    Deep Learning, NLP & RAG Systems

    Go deeper into modern AI architectures and build systems that understand language, retrieve knowledge, and reason on proprietary data.

    Highlights

    01Build neural networks and transformer-based systems powering products like ChatGPT and Claude
    02Fine-tune open-source foundation models such as LLaMA and Mistral for enterprise use-cases
    03Design RAG pipelines that retrieve answers from private datasets with traceable citations
    Deep Learning, NLP & RAG Systems
    Courses Covered
    Deep Learning & Neural NetworksNLP & TransformersModel Fine-TuningRAG ArchitectureVector Databases & EmbeddingsAI Evaluation & Benchmarking
    Term 3 of 4skAILe Curriculum
    Term 4Apply

    AI & ML in Production

    Deploy production-grade AI systems, monitor real-world performance, and lead AI adoption inside organisations responsibly.

    Highlights

    01Deploy AI systems and ML models using Docker, APIs, and cloud infrastructure for real-world scale
    02Monitor model performance for drift, latency, reliability, and cost using MLOps frameworks
    03Apply AI governance, regulatory frameworks, ethics, and leadership communication for enterprise AI
    AI & ML in Production
    Courses Covered
    Cloud Deployment & DockerMLOps & Model MonitoringAgentic Pipelines & MCPAI Ethics & Data GovernanceAI Transformation LeadershipStakeholder Communication
    Term 4 of 4skAILe Curriculum
    Industry immersion

    IndustryImmersions

    One deployed AI project every term, built on real business problems.

    • 01

      GenAI Product Lab

      Build AI copilots using OpenAI, Claude, Python, and APIs — and ship a working chatbot in weeks

      OpenAIClaudePythonStreamlit
    • 02

      Agentic AI and Automation Lab

      Build autonomous AI agents using LangChain and CrewAI — connect them with Slack, Notion and live business APIs

      LangChainCrewAIZapierSlack
    • 03

      Enterprise ML & RAG Lab

      Train ML models on real-world business datasets and fine-tune Llama and Mistral with Pinecone-powered RAG pipelines

      Scikit-learnLlamaMistralPinecone
    • 04

      Production AI Engineering Lab

      Deploy production-grade AI systems using Docker, FastAPI and AWS — with live MLOps monitoring and dashboards

      DockerAWSFastAPIMLOps
    Tools & Technologies

    Your Toolkit

    PythonPython
    PyTorchPyTorch
    TensorFlowTensorFlow
    scikit-learnscikit-learn
    KerasKeras
    LangChainLangChain
    LlamaIndex
    AutoGenAutoGen
    CrewAICrewAI
    Hugging FaceHugging Face
    OpenAI API
    O
    OpenAI API
    Anthropic Claude API
    Gemini API
    FastAPIFastAPI
    DockerDocker
    KubernetesKubernetes
    AWS SageMaker
    A
    AWS SageMaker
    Google Vertex AIGoogle Vertex AI
    PineconePinecone
    Weaviate
    ChromaDBChromaDB
    GitHub CopilotGitHub Copilot
    Cursor
    n8nn8n
    StreamlitStreamlit
    JupyterJupyter
    GitGit
    PythonPython
    PyTorchPyTorch
    TensorFlowTensorFlow
    scikit-learnscikit-learn
    KerasKeras
    LangChainLangChain
    LlamaIndex
    AutoGenAutoGen
    CrewAICrewAI
    Hugging FaceHugging Face
    OpenAI APIOpenAI API
    Anthropic Claude API
    Gemini API
    FastAPIFastAPI
    DockerDocker
    KubernetesKubernetes
    AWS SageMakerAWS SageMaker
    Google Vertex AIGoogle Vertex AI
    PineconePinecone
    Weaviate
    ChromaDBChromaDB
    GitHub CopilotGitHub Copilot
    Cursor
    n8nn8n
    StreamlitStreamlit
    JupyterJupyter
    GitGit
    GitGit
    JupyterJupyter
    StreamlitStreamlit
    n8nn8n
    Cursor
    GitHub CopilotGitHub Copilot
    ChromaDBChromaDB
    Weaviate
    PineconePinecone
    Google Vertex AIGoogle Vertex AI
    AWS SageMakerAWS SageMaker
    KubernetesKubernetes
    DockerDocker
    FastAPIFastAPI
    Gemini API
    Anthropic Claude API
    OpenAI APIOpenAI API
    Hugging FaceHugging Face
    CrewAICrewAI
    AutoGenAutoGen
    LlamaIndex
    LangChainLangChain
    KerasKeras
    scikit-learnscikit-learn
    TensorFlowTensorFlow
    PyTorchPyTorch
    PythonPython
    GitGit
    JupyterJupyter
    StreamlitStreamlit
    n8nn8n
    Cursor
    GitHub CopilotGitHub Copilot
    ChromaDBChromaDB
    Weaviate
    PineconePinecone
    Google Vertex AIGoogle Vertex AI
    AWS SageMaker
    A
    AWS SageMaker
    KubernetesKubernetes
    DockerDocker
    FastAPIFastAPI
    Gemini API
    Anthropic Claude API
    OpenAI APIOpenAI API
    Hugging FaceHugging Face
    CrewAICrewAI
    AutoGenAutoGen
    LlamaIndex
    LangChainLangChain
    KerasKeras
    scikit-learnscikit-learn
    TensorFlowTensorFlow
    PyTorchPyTorch
    PythonPython
    International Exposure

    Global AI & Deep Tech Immersion

    Visit the world's most advanced AI labs, tech campuses and deep-tech ecosystems. Learn from engineers and scientists building the frontier of AI.

    Global immersion destination

    United States, Silicon Valley

    Immerse yourself in the global epicentre of AI and machine learning. Visit the labs and campuses where foundational models, autonomous systems and next-gen compute infrastructure are being built.

    • Visit Google DeepMind, Meta FAIR, NVIDIA & OpenAI
    • Tour Stanford AI Lab and Berkeley AI Research (BAIR)
    • Engage with ML engineers at leading AI startups
    • Understand GPU infrastructure, large-scale training and MLOps practices
    Industry Experts

    Learn from AI Practitioners

    Industry experts from Google, Microsoft, Amazon, Meta, NVIDIA, IBM and leading AI startups.

    Havish Madvapathy

    Havish Madvapathy

    Master Trainer

    PwC
    Divij Bajaj

    Divij Bajaj

    Data and Applied Scientist

    Microsoft
    Karan Bhyana

    Karan Bhyana

    Business Intelligence Generalist

    Google
    Harneet S N

    Harneet S N

    Founder

    Rabbitt AI
    Vaibhav Gupta

    Vaibhav Gupta

    Sr. Product Manager

    MakeMyTrip
    Tarun Malik

    Tarun Malik

    Former APAC Head, Customer Solutions

    Amazon
    Ujjyaini Mitra

    Ujjyaini Mitra

    Former Chief Data Officer

    ZEE
    Sidharth Balakrishna

    Sidharth Balakrishna

    Former Group Strategy Head

    Essel
    Malthi Satish

    Malthi Satish

    Former Director of PM

    PayPal
    Satish Krishnan

    Satish Krishnan

    Former MD

    Standard Chartered
    Havish Madvapathy

    Havish Madvapathy

    Master Trainer

    PwC
    Divij Bajaj

    Divij Bajaj

    Data and Applied Scientist

    Microsoft
    Karan Bhyana

    Karan Bhyana

    Business Intelligence Generalist

    Google
    Harneet S N

    Harneet S N

    Founder

    Rabbitt AI
    Vaibhav Gupta

    Vaibhav Gupta

    Sr. Product Manager

    MakeMyTrip
    Tarun Malik

    Tarun Malik

    Former APAC Head, Customer Solutions

    Amazon
    Ujjyaini Mitra

    Ujjyaini Mitra

    Former Chief Data Officer

    ZEE
    Sidharth Balakrishna

    Sidharth Balakrishna

    Former Group Strategy Head

    Essel
    Malthi Satish

    Malthi Satish

    Former Director of PM

    PayPal
    Satish Krishnan

    Satish Krishnan

    Former MD

    Standard Chartered
    Career Outcomes

    Where This Takes You

    This programme prepares you for high-impact engineering roles at the intersection of AI, ML and product, in India's top tech companies, AI startups and global research labs.

    AI / ML Engineer at top tech companies
    LLM and Prompt Engineer
    Agentic AI Systems Architect
    MLOps Engineer at scale-ups
    Applied Scientist at research labs
    AI Research Engineer
    Forward Deployed AI Engineer
    Full-Stack AI Developer
    Career outcomes
    Salary Benchmarks

    Roles That'll Be Looking For You

    AI / ML Engineer

    ₹18-32 LPA

    Senior AI / ML Engineer

    ₹32-58 LPA

    Forward Deployed AI Architect

    ₹48-78 LPA

    Principal ML Engineer

    ₹65 LPA-1.1 CrPA

    AI Engineering Lead

    ₹85 LPA-1.4 CrPA

    Staff AI Research Engineer

    ₹95 LPA-1.6 CrPA
    Career Prospects

    Potential Recruiters

    Our graduates build production-grade AI systems at the world's leading technology companies, AI research labs and high-growth startups.

    GoogleGoogle
    Microsoft
    M
    Microsoft
    Amazon
    A
    Amazon
    MetaMeta
    NVIDIANVIDIA
    OpenAI
    O
    OpenAI
    Hugging FaceHugging Face
    Salesforce
    S
    Salesforce
    IBM
    I
    IBM
    Oracle
    O
    Oracle
    SAPSAP
    Flipkart
    F
    Flipkart
    SwiggySwiggy
    RazorpayRazorpay
    PhonePePhonePe
    CREDCRED
    InfosysInfosys
    TCSTCS
    WiproWipro
    AccentureAccenture
    GoogleGoogle
    MicrosoftMicrosoft
    AmazonAmazon
    MetaMeta
    NVIDIANVIDIA
    OpenAIOpenAI
    Hugging FaceHugging Face
    SalesforceSalesforce
    IBMIBM
    OracleOracle
    SAPSAP
    FlipkartFlipkart
    SwiggySwiggy
    RazorpayRazorpay
    PhonePePhonePe
    CREDCRED
    InfosysInfosys
    TCSTCS
    WiproWipro
    AccentureAccenture
    AccentureAccenture
    WiproWipro
    TCSTCS
    InfosysInfosys
    CREDCRED
    PhonePePhonePe
    RazorpayRazorpay
    SwiggySwiggy
    FlipkartFlipkart
    SAPSAP
    OracleOracle
    IBMIBM
    SalesforceSalesforce
    Hugging FaceHugging Face
    OpenAI
    O
    OpenAI
    NVIDIANVIDIA
    MetaMeta
    Amazon
    A
    Amazon
    Microsoft
    M
    Microsoft
    GoogleGoogle
    AccentureAccenture
    WiproWipro
    TCSTCS
    InfosysInfosys
    CREDCRED
    PhonePePhonePe
    RazorpayRazorpay
    SwiggySwiggy
    Flipkart
    F
    Flipkart
    SAPSAP
    Oracle
    O
    Oracle
    IBM
    I
    IBM
    SalesforceSalesforce
    Hugging FaceHugging Face
    OpenAIOpenAI
    NVIDIANVIDIA
    MetaMeta
    AmazonAmazon
    MicrosoftMicrosoft
    GoogleGoogle
    Admissions & Fees

    Admissions & Eligibility

    Selection is designed to ensure class quality and readiness for a build-intensive programme.

    Programme Fee
    ₹15 Lakh
    Fee Timeline
    Amount
    Due Date
    Admission Offer Acceptance
    INR 1,10,000/-
    Within 30 days of offer
    Programme Commencement
    INR 6,95,000/-
    Before start of classes
    Mid-Programme Installment
    INR 6,95,000/-
    After 3 months
    Total
    INR 15,00,000/-

    *18% GST Applicable on the Programme Fee

    EMI Available

    No-cost EMI available up to 12 months via partner NBFCs

    Scholarships

    Merit-based scholarships available for exceptional candidates

    Next Cohort

    June 2027

    contact@skaile.in+91 8448-998488

    Eligibility

    Selection is designed to ensure class quality and readiness for a build-intensive programme.

    BCA / B.Tech / Graduate

    Bachelors in any field with a strong coding inclination

    0-5 Years Experience

    Freshers or professionals with 0-5 years of work experience

    Builder Mindset

    Curiosity for AI, ML and shipping real systems

    Admission Process

    Step 1

    Submit Application

    Complete the online application with your academic details, professional experience (if any), and your CAT/GMAT/GATE/GRE score.

    Step 2

    Profile Screening

    Our admissions panel evaluates your profile based on academic background, coding portfolio and alignment with the programme.

    Step 3

    Interview and GD

    Shortlisted candidates will be invited for a personal interview and group discussion with our admissions committee to assess fit and readiness.

    Step 4

    Offer & Onboarding

    Selected candidates receive an offer letter. Secure your seat and access pre-programme Python and ML modules.

    Have Questions? Reach Out

    Our admissions team is here to help you every step of the way.

    contact@skaile.in+91 8448-998488

    Ready to skAILe?

    Applications for the 2027 batch are now open. Take the first step towards an AI-powered career.

    Campus Experience

    World Class AI-First Campus

    Book a Campus Tour ↗

    360° Campus Tour Coming Soon

    Immersive virtual tour of the Mumbai will be available here. Explore every corner of our campus from anywhere.

    skAILe Campus
    Got Questions?

    Frequently Asked Questions

    Everything you need to know about the PGP in Applied AI & Machine Learning programme at SKAILE.