Who is the Corporate AI Training designed for?

It is designed for companies that want to upskill their teams in Generative AI. We run dedicated tracks for software engineers, product managers, data and business analysts, and leadership, so each group learns what is relevant to their role.

Is the training delivered onsite or remote?

Both. We can run the program at your office, fully remote over live video sessions, or as a hybrid. The format, schedule, and batch size are agreed with you before the program starts.

Do participants need prior AI or machine learning experience?

No. The program starts from fundamentals and ramps up based on the track. For engineering tracks, basic programming knowledge is helpful; for product and business tracks, no technical background is required.

How long does a typical program run?

Programs typically range from a 2-day intensive workshop to a 4-6 week cohort with weekly sessions and a capstone project. We recommend a duration based on your goals during the discovery call.

How do we get started?

Click on 'Request a Proposal' and share a few details about your team. We will set up a short discovery call, understand your goals, and send a tailored curriculum, timeline, and commercials.

For Teams/For companies

Corporate AI Training

Move your teams from AI-curious to AI-productive

Upskill your engineering, product, and business teams with hands-on Generative AI training - from LLM fundamentals and prompt engineering to building AI agents and internal tools that ship.

Duration: 2-day workshop to 6-week cohort
Format: Onsite, remote, or hybrid
Tracks: Engineering, product, analysts, leadership
Starts: Scheduled with you after discovery

Who it is for

Is this the right programme for you?

We would rather you pick the right programme than enrol in the wrong one. Here is an honest fit check.

This is for you if

Engineering teams that need to ship LLM features, RAG, or agents in the next two quarters
Product, analytics, and operations teams that should be using AI tools well, safely, and consistently
Leadership groups that need a shared vocabulary to make build-vs-buy decisions
Companies that want prototypes on their own data by the end of the programme

It is not the right fit if

Teams looking for a recorded course without live sessions or hands-on labs
Deep research or model-training curricula - we focus on applying models, not training them
One-person requests - individuals should look at the AI Course

Curriculum

Modules, tracks, and the build sprint

Every engagement starts with a discovery call. The modules below are the standard building blocks; the mix and depth are set per track.

Week 0
Module 1
Discovery and pre-assessment
- Goals, roles, tech stack, and current use of AI tools
- Selecting the use cases the build sprint will target
- Pre-assessment so we can show improvement at the end
- Agreeing on format, schedule, and success metrics
Module 1
Module 2
GenAI and LLM fundamentals
- How LLMs work, their strengths, and where they fail
- Model selection, cost control, and latency
- Data privacy and responsible use inside the organisation
- Delivered to every track, adjusted for depth
Module 2
Module 3
Prompt engineering and evaluation
- Structured prompting and output schemas
- Few-shot patterns for the tasks your team repeats
- Evaluating quality, building test sets, and catching regressions
- Hands-on labs on your own documents and workflows
Module 3
Module 4
RAG and knowledge assistants
- Chunking, embeddings, and vector search
- Building an assistant over internal documentation
- Retrieval quality, citations, and access control
- Engineering and analyst tracks
Module 4
Module 5
AI agents and automation
- Agent loops, tool calling, and integrating internal APIs
- Guardrails, human-in-the-loop, and observability
- Where agents pay off and where they do not
- Engineering track
Build sprint
Module 6
Internal tool prototypes
- Small teams build copilots, automations, or assistants for the use cases from discovery
- Daily check-ins with instructors
- Capstone review with your leadership
- Post-assessment and adoption report

Want the detailed version with schedule and project briefs? We will send it over.

Built for Teams, Not Just Individuals

What Your Team Gets

Our Corporate AI Training is designed to move teams from AI-curious to AI-productive, with practical skills they can use the week after the program ends.

Customised Curriculum

Every engagement starts with a discovery call. We tailor modules to your team's roles, tech stack, and business goals.

Live, Instructor-Led Workshops

Interactive sessions led by practitioners who build with AI daily - not slide decks, but guided hands-on labs.

GenAI & LLM Fundamentals

How LLMs work, their strengths and limits, model selection, cost control, and responsible use inside an organisation.

Prompt Engineering & AI Agents

Structured prompting, tool use, RAG, and agentic workflows your teams can apply to real day-to-day tasks.

Build Internal AI Tools

Teams leave with working prototypes - copilots, automations, and knowledge assistants built on your own use cases.

Tracks for Every Team

Dedicated tracks for engineers, product managers, analysts, and leadership so everyone learns what matters to them.

Measurable Outcomes

Pre and post assessments, capstone reviews, and adoption reports so you can see the impact of the training.

Post-Training Support

Office hours and follow-up sessions after the program to help teams take what they built into production.

Outcomes

What your team leaves with

Working prototypes built on your own use cases and data
Pre and post assessment results and an adoption report for leadership
A shared vocabulary across engineering, product, and business teams
Prompting, evaluation, and RAG patterns your team can apply the next week
Office hours after the programme to take prototypes into production

Why Codeflex

Why choose Codeflex

Training shaped around your teams, your stack, and the tools you want them to ship.

A curriculum written for you

Modules are tailored after a discovery call, around roles, stack, and goals.

Workshops led by practitioners

Hands-on labs with people who use these tools in their own work.

Prototypes your team keeps

Copilots, automations, and assistants built on your own use cases.

Support after the workshop

Office hours so teams can take what they built into day-to-day work.

Instructors

Our Instructors

Saksham Arora

Software Engineer 2 @ Intuit | Ex - Microsoft

Competitive programming and system design instructor with strong coding expertise.

Meet all 12 instructors

Fees and next steps

Priced per engagement

After a short discovery call we send a tailored curriculum, timeline, and commercials. Pricing depends on tracks, duration, and delivery mode.

A curriculum shaped to your roles and stack
Timeline, delivery mode, and instructor profiles
Commercials and what is included after the programme

Duration: 2-day workshop to 6-week cohort
Format: Onsite, remote, or hybrid
Tracks: Engineering, product, analysts, leadership
Starts: Scheduled with you after discovery

No payment needed to enquire.

Frequently Asked Questions

Everything you need to know about our Corporate AI Training

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